Anthropic

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities - Build automation to support datacenter fleets at scale. - Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). - Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. - Work closely with our Networking team to ensure end-to-end connectivity across all sites. - Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications - Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. - End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. - Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). - Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). - Ability to communicate clearly and build consensus with a wide range of stakeholders. - Comfort navigating ambiguity and making progress on complex, cross-functional problems. - Willingness to travel occasionally to datacenter sites across North America. Preferred qualifications - 8+ years of experience in datacenter infrastructure mana

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a State and Local Affairs Lead to engage with state and local governments in the Western United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will report to Anthropic's Head of Western State and Local Affairs and coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across many Western states, including a support role in California —engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution—with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive—grounded in honest assessment of technological trajectories and authentic concern for safe scaling—and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities - Serve as Anthropic's lead for state and local government affairs across many Western states, working in close coordination with the Head of Western States and other Regional State and Local Affairs Leads - Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region - Engage directly with local officials whose decisions affect Anthropic's work—mayors, city councils, county commissions, and economic development boards - Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions - Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts - Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI - Work with the Communications team to develop clear, accurate messaging for regional policy campaigns - Translate Anthropic's technical research and policy positions into engagement strategies tailored to Western state political environments - Manage the outside advisors and registered lobbyists who support Anthropic's work in your region - Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications - Align with our mission and embrace the imperative of policy impact and change - Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes - Have existing relationships with state and local leaders in the West, including legislators, governors' offices, attorneys general, or county and municipal officials - Understand how state legislatures and executive branches work—committee processes, legislative and regulatory procedures, and how to move policy forward—and understand where local authority begins and ends - Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles - Are prepared to travel regularly across the region Preferred qualifications - Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles - Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities - Have exposure to technology policy or emerging technology regulation; you understand the unique challenges of navigating policy for rapidly evolving technologies - Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives - Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments - Can work well under time pressure and manage competing demands - Can translate complex technical topics into clear, accessible language for policymakers and residents alike - Have experience working with communications teams to develop effective messaging for policy campaigns - Are comfortable being honest about tradeoffs, including in rooms where people disagree with us - Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a State and Local Affairs Lead to lead Anthropic's engagement with state and local governments across the Midwestern United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will work closely with Anthropic's other Regional State and Local Affairs Leads, as well as coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across the Midwest — engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution — with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive — grounded in honest assessment of technological trajectories and authentic concern for safe scaling — and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities - Serve as Anthropic's lead for state and local government affairs across the Midwestern United States, working in close coordination with the other Regional State and Local Affairs Leads - Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region - Engage directly with local officials whose decisions affect Anthropic's work — mayors, city councils, county commissions, and economic development boards - Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions - Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts - Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI - Work with the Communications team to develop clear, accurate messaging for regional policy campaigns - Translate Anthropic's technical research and policy positions into engagement strategies tailored to Midwestern state political environments - Manage the outside advisors and registered lobbyists who support Anthropic's work in your region - Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications - Align with our mission and embrace the imperative of policy impact and change - Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes - Have existing relationships with state and local leaders in the Midwest, including legislators, governors' offices, attorneys general, or county and municipal officials - Understand how state legislatures and executive branches work — committee processes, legislative and regulatory procedures, and how to move policy forward — and understand where local authority begins and ends - Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles - Are prepared to travel regularly across the region Preferred qualifications - Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles - Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities - Have exposure to technology policy or emerging technology regulation; understand the unique challenges of navigating policy for rapidly evolving technologies - Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives - Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments - Can work well under time pressure and manage competing demands - Can translate complex technical topics into clear, accessible language for policymakers and residents alike - Have experience working with communications teams to develop effective messaging for policy campaigns - Are comfortable being honest about tradeoffs, including in rooms where people disagree with us - Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack. The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams. Key responsibilities - Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack - Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats - Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly - Review incident response metrics and procedures, and drive improvements - Work across security and engineering teams - Take part in an on-call rotation Minimum qualifications - Experience handling security incidents and investigating anomalies as part of a team - Working knowledge of EDR, SIEM, SOAR, or similar security tooling - A solid understanding of cloud environments and operations - Experience working with engineering teams in a SaaS environment - Proficiency with a scripting language such as Python and query languages such as SQL - Strong communication and collaboration skills - Able to lead projects with little guidance - Able to pick up new languages and technologies quickly Preferred qualifications - 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience - Security operations or investigations involving large-scale Kubernetes environments - Experience analyzing attack behavior and prototyping high-quality detections - Experience with threat intelligence, malware analysis, infrastructure as code, or forensics - Experience contributing to a high-growth startup environment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is seeking an experienced GTM Recruiter to join our recruiting team. In this role, you'll partner closely with GTM leaders to hire the people who will shape how Anthropic operates, grows, and delivers on its mission. This role requires someone who can assess not just functional expertise, but also alignment with our values and the adaptability required to thrive in a fast-paced, high-growth environment. Responsibilities: - Lead end to end recruiting for GTM roles - Develop and execute strategic recruiting plans, including competitive mapping, targeted sourcing, and building long-term talent pipelines - Build trusted partnerships with GTM leadership to understand business priorities, team structures, ideal candidate profiles, and required competencies across different functions - Create exceptional candidate experiences that showcase Anthropic's mission, growth trajectory, and unique growth opportunity for GTM professionals - Design and implement scalable recruiting processes that effectively assess functional expertise, business acumen, and cultural alignment - Track recruiting metrics and use data to identify bottlenecks, optimize processes, and maintain a high-quality hiring bar - Coach hiring managers on recruiting best practices, interview techniques, and strategies for building diverse, high-performing teams You may be a good fit if you: - Have 5+ years of full-cycle recruiting experience with meaningful exposure to GTM functions - Are comfortable working in ambiguous environments and help hiring teams build structure and excellent recruiting practices - Have strong stakeholder management skills - you can share examples of frameworks you've built that drive hiring while coaching teams to improve their recruiting - Are highly organized with strong attention to detail - you stay on top of data integrity and maintain regular touchpoints with candidates and hiring managers - Are comfortable analyzing recruiting data and can connect key metrics to monitor recruiting health and maintain a great hiring experience - Are passionate about AI's potential to positively impact the world while understanding its risks and limitations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Recruiter to partner with our Communications team. This team tells Anthropic's story across corporate, product, executive, and internal communications. In this role, you will be the team's primary recruiter. You will own searches from intake through offer, and you will advise leaders on where the talent is, what it costs, and how to win it. The best communicators are rarely looking, so finding them is the job. As the team grows, you may also support hiring for Brand and Marketing. Key responsibilities - Have a passion for AI's potential to positively impact the world, and a realistic view of its risks and limitations - Have recruited for communications, PR or adjacent roles, and understand what great looks like in that craft - Know how to find and engage candidates who are passive through a variety of creative channels - Build trust with senior leaders, and have the confidence to push back with data - Write clearly and pay close attention to detail, because candidates and comms leaders will notice both - Run a tight, high-touch process that respects candidates' time and helps hiring managers decide quickly - Turn hiring data into clear recommendations, not just status updates - Thrive in a fast-paced environment and handle executive and confidential searches with discretion Preferred qualifications - Have 10+ years of full-lifecycle recruiting experience, with a track record of closing senior, hard-to-fill roles - Experience hiring for a high-growth technology company whose public narrative matters - A network across media, agency, and in-house communications talent - Experience supporting executive hiring - Experience using AI tools in your daily work, and are curious about where they can take recruiting next The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced leader for our Treasury, Liquidity & Capital Planning team. In this foundational role, you will own the forward view of the company's cash and balance sheet as Anthropic manages one of the fastest-growing balance sheets in technology alongside some of the largest infrastructure commitments any company is making. You will report to the Head of Investments & Market Risk and work closely with FP&A, Accounts Payable, Collections, Controllership, Legal and Infrastructure Finance. This is a rare opportunity to build a liquidity and capital planning function from the ground up at a high-growth AI company. You bring a strong background across multiple pillars of Treasury and a track record of driving complex, cross-functional initiatives through to completion with limited direction and full accountability. You are proficient in using AI tools to drive automation and process optimization, and you will use Claude to build much of the tooling that makes Treasury faster and more precise. Key responsibilities - Build, own and continuously improve a direct cash flow model and forecast by legal entity and currency, tied to bank data at the front end and to FP&A's operating plan, so the company sees liquidity needs well before decisions have to be made - Establish a disciplined forecasting cadence across monthly, quarterly and annual cycles, with forecast-to-actual variance analysis built on bank transaction data - Partner with FP&A and Strategic Finance to support capital allocation decisions with scenario and sensitivity analysis and clear liquidity trade-offs - Monitor and manage working capital drivers, including receivables, payables and DSO/DPO, to anticipate cash flow impacts and improve liquidity - Prepare cash flow analyses and executive-level materials for the Treasurer, CFO and senior leadership, highlighting key drivers, risks and opportunities - Partner with FP&A, Accounting, Tax and business teams to understand forecast movements, challenge assumptions and improve accuracy, while strengthening processes, reporting and controls so the framework scales - Serve as back-up for the investments desk (in-house portfolio, money market funds, deposits and separately managed account instructions) and for the FX, commodities, rates and credit desk Minimum qualifications - Have built and owned a direct cash flow model and forecast across multiple legal entities and currencies - Can project a balance sheet, leverage and covenant metrics as comfortably as cash, and explain the trade-offs clearly to a CFO and other non-Treasury stakeholders - Understand how a forecast turns into an investment ladder, a hedge program and a compliance test, not just a report - Have stood up models, reporting and controls where none existed, and are comfortable being the whole team - Work directly with data, including bank feeds, ERP cash flows and portfolio reports - Understand money market funds, deposits, short-duration securities and basic hedging mechanics well enough to cover a trading desk - Exercise strong judgment in ambiguous situations and build effective relationships across Finance, Legal and the business Preferred qualifications - 10+ years of relevant experience in treasury or corporate finance - Have led a cash flow forecasting or liquidity planning function inside a large corporate Treasury - Have supported a revolving credit facility, debt issuance or rating agency process with forecasts and covenant models - Have worked in Treasury through hypergrowth, large financings or an IPO - Have used Claude or similar AI tools to automate Treasury workflows and reporting - Are familiar with a treasury management system, Clearwater, planning tools or a data warehouse such as BigQuery - Have executed trades under a Treasury policy, including direct securities, money market funds, deposits, and FX spot and forwards - Hold a CFA, CTP or CPA - Are excited by Anthropic's mission to build safe, transformative AI systems, and by Treasury work that directly supports it The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities - Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems - Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in - Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs - Deliver against fixed deadlines - Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody - Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests - Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications - Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions - Experience working across large, complex, multi-team environments, including in stacks and code you don't own - Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP - Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt - A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved - Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge - Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications - Software engineering experience with an infrastructure, data, privacy, and/or security focus - Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines - Understanding of data processing pipelines, LLM training, and/or provenance and lineage - Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data - Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Head of Customer Success, APAC at Anthropic, you will build and lead our Customer Success function across Asia Pacific. You will scale a team of managers and CSMs who help our most strategic APAC customers realize the full value of Claude. This is a foundational leadership role: you will establish how we run CS in the region, hire and develop a multi-market team of managers, and partner closely with your global counterparts to deliver a globally consistent customer experience while localising where it matters. APAC is not one market. You will lead across India, Japan, Korea, ASEAN, and Australia and New Zealand (ANZ), each with its own buying culture, regulatory context, language needs and pace of AI adoption. You will work hand-in-hand with global GTM, Product and Engineering leaders to shape our APAC CS strategy, take APAC customer priorities back into the business, and drive adoption, retention and growth across some of the most exciting markets in the world. Key responsibilities - Build and lead a multi-layered Customer Success organisation across APAC, managing managers and scaling the team responsibly as our APAC business grows. - Define and execute the APAC CS strategy in close partnership with global CS leadership, aligning with the global agenda while localising approach, motion and programmes for APAC market dynamics. - Own CS business outcomes including customer health, retention, expansion and satisfaction across APAC accounts. - Hire, develop and coach a high-performing team of CS managers and individual contributors, building a culture that reflects Anthropic's values across Asia's diverse geographies, languages and working cultures. - Partner with global CS, Sales, Product and Engineering teams so the voice of APAC customers reaches decision-making forums. - Establish scalable processes, playbooks and operating cadences that work across APAC time zones (India to Japan, Korea and ANZ) and overlap responsibly with global teams. - Represent Anthropic with senior customer stakeholders across APAC, leading executive engagements, QBRs and strategic account conversations with enterprises, digital natives, startups and public sector bodies. - Build strong working relationships with APAC channel and cloud partners, and with systems integrators and consulting firms that shape enterprise AI adoption in the region. - Contribute to global CS strategy as a senior leader, bringing an APAC perspective to team planning, segmentation and prioritisation. - Help shape how we deploy AI responsibly with customers across APAC's varied regulatory environments, including data residency, privacy and sector rules in markets such as India, Japan, Korea, Singapore and Australia. Minimum qualifications - 15+ years of experience in management consulting, technology consulting, professional services or customer-facing advisory roles, with a track record of advising senior client executives on complex transformation programmes. - Experience building and leading multi-market Customer Success or Technical Success organisations, including managing managers - Track record of scaling CS teams across APAC at enterprise software, SaaS or AI/ML companies - Demonstrated ability to balance global alignment with regional localisation across multiple APAC markets and cultures. - Strong people leadership: a clear philosophy on hiring, coaching and developing managers and senior ICs. - Experience owning enterprise customer relationships and driving measurable business outcomes (retention, expansion, adoption) in APAC markets. - Strong executive presence and the ability to represent a company credibly with C-suite stakeholders across APAC. - Excellent cross-functional partnership skills, particularly working across time zones with global leadership teams. Preferred qualifications - Experience leading Customer Success across APAC - Working fluency in an APAC language (for example Japanese, Korean or an ASEAN language) or a strong record of leading teams that operate in those languages - Experience standing up a CS function in a new APAC market from the ground up - Background in API products, developer platforms or consumption-based business models - Familiarity with AI/ML technologies and the ability to explain complex technical concepts to business audiences - Experience working with APAC hyperscaler, channel and SI partners on joint customer delivery - Track record of influencing global product roadmaps through structured customer feedback from APAC markets - Passion for responsible AI development and deployment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive, Industries - BFSI to pioneer Anthropic's enterprise AI adoption across India's banking, financial services, and insurance sector. You will build our presence from the ground up, securing transformative deals with leading banks, NBFCs, insurers, and fintechs, and establishing Anthropic as their trusted AI partner for digital transformation. You will navigate the complex, regulated environment of Indian financial institutions and position Claude as the AI solution that drives both efficiency and innovation while maintaining the highest standards of safety and reliability. As one of our first industry specialists in India, you will shape our BFSI go-to-market strategy and build the playbook for how Anthropic serves financial institutions, working closely with global teams while adapting our approach to local market dynamics. This position is based in Bangalore, Mumbai, or NCR, with travel across India. Key responsibilities - Establish Anthropic's enterprise presence across India's BFSI sector, including public and private sector banks, NBFCs, insurers, asset managers, and fintechs - Develop BFSI-specific strategies that account for RBI, IRDAI, and SEBI requirements, data localization needs, and sector compliance standards - Build relationships with key stakeholders, including CXOs, Chief Risk and Compliance Officers, digital transformation leaders, and innovation heads at India's top financial institutions - Create the India BFSI playbook for enterprise AI adoption, documenting successful approaches that can scale across the region - Own end-to-end sales cycles for complex, multi-stakeholder enterprise deals, often involving board-level decisions - Drive strategic expansion within lighthouse accounts that can serve as references for the entire BFSI industry - Navigate procurement processes unique to Indian financial institutions, including vendor risk assessments, rate contracts, empanelment procedures, and multi-year agreements - Collaborate with system integrators and consulting partners who often influence technology decisions at banks and insurers - Co-innovate with customers to develop BFSI use cases, from vernacular customer service and fraud detection to credit underwriting and automated compliance reporting - Understand sector-specific challenges such as financial inclusion, legacy core banking modernization, and data security in regulated environments - Position AI strategically within the context of Digital India initiatives and financial sector modernization programs - Ensure successful deployments that can scale from proof-of-concept to enterprise-wide implementation - Partner with global product teams to prioritize features critical for Indian financial institutions, such as multi-language support, data residency, auditability, and integration with local systems - Collaborate with legal and compliance teams to navigate India's evolving AI and data protection regulations - Provide market intelligence on competitive dynamics, pricing expectations, and emerging BFSI use cases unique to India - Build internal alignment between Anthropic's global strategy and India's market requirements Minimum qualifications - 15+ years of enterprise sales experience in the Indian market, with a proven track record of closing large, complex deals, ideally across BFSI sector - Deep understanding of how Indian financial institutions operate, including decision-making processes, budget cycles, and stakeholder dynamics - Experience selling transformational technology (Cloud, AI/ML, Digital Transformation platforms) to Indian enterprises - Established relationships with senior executives across banks, NBFCs, insurers, or fintechs - Understanding of the Indian regulatory landscape, including RBI, NSE, IRDAI, and SEBI requirements, data protection laws, and sector-specific compliance - Consultative selling expertise, with the ability to position AI as a strategic business driver rather than just a technology solution - Complex deal structuring experience, including multi-year contracts, phased deployments, and outcome-based pricing - Technical acumen to engage credibly with CTOs, architects, and data science teams - Cross-cultural communication skills to work effectively with both Indian stakeholders and global teams - Entrepreneurial mindset and the ability to build a market from scratch with limited local resources initially - Patient yet persistent approach to long enterprise sales cycles, while maintaining momentum Preferred qualifications - Experience selling directly into large Indian banks, insurers, or financial conglomerates - Relationships with Indian system integrators such as TCS, Infosys, Wipro, and HCL, particularly their BFSI practices - Familiarity with Indian business groups and conglomerates, and how decisions flow within these complex organizations - Track record of first-in-market roles or launching new products in India - Domain expertise in areas critical to Indian financial services, such as UPI payments, core banking systems, KYC/AML compliance, Aadhaar integration, or insurance underwriting - Knowledge of government initiatives such as Digital India and their impact on financial sector technology adoption - Experience navigating public sector bank and PSU sales processes is a plus Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a Finance & Strategy team member to work across two areas: Model Monetization and Enterprise & Verticals. In Model Monetization, you will own the economics behind how we price and package our models, including list pricing, tiering, and consumption mechanics across model families. In Enterprise & Verticals, you will be the Finance & Strategy partner to the product teams, working on the business cases, product economics, and investment decisions behind what we build for enterprises and priority industries. Every model launch and most major enterprise product decisions run through this work. The role carries a high degree of ownership and autonomy. It suits someone who likes building models and working through ambiguous questions. You will connect token economics, inference and compute costs, and margin to pricing and packaging decisions, and apply the same approach to enterprise and vertical product investments. You will be expected to form a view, defend it with analysis, and drive it to a decision. You should follow AI closely and have a perspective on where the field is heading. If you want to work on the economics of frontier AI, join us in making AI safe and beneficial. Key responsibilities - Own model monetization end to end: build and maintain the financial models that connect token economics, inference and compute costs, and margin to pricing and packaging decisions across our model family and API - Serve as the Finance & Strategy partner to our Enterprise and Verticals product teams, owning the financial lens on what we build for enterprises and priority industries - Build the business cases behind enterprise and vertical product investments: size opportunities, model product economics and pricing, and evaluate the return on competing roadmap bets - Partner cross-functionally with product, go-to-market, and compute stakeholders to evaluate pricing and packaging changes, new model launches, and consumption-based offerings, translating analysis into clear, opinionated recommendations - Analyze the drivers of unit economics and gross margin, surfacing the trends, risks, and opportunities that should inform monetization and product strategy - Track the competitive and market landscape for AI monetization and enterprise adoption, bringing an outside-in view that sharpens our own strategy - Form and defend a point of view on monetization and product investment decisions, delivering clear, concise analyses that drive to resolution with executives and cross-functional partners - Collaborate with finance, FP&A, and accounting counterparts to ensure decisions are consistent with broader financial strategy and reporting - Establish and maintain reporting dashboards that track key pricing, margin, consumption, and product performance metrics Minimum qualifications - Advanced modeling: you can build and maintain a complex operating model from scratch, and you enjoy doing it - A record of owning a workstream and driving it independently from question to decision - The judgment to form an opinion and defend it, and the openness to update it as the analysis changes - You follow AI closely and have a view on where it is going - Ability to explain complex financial information clearly to non-finance audiences - Commitment to Anthropic's mission to build safe, transformative AI systems Preferred qualifications - 7+ years in strategic finance, product finance, pricing, investment banking, private equity, growth equity, or management consulting - Operating experience inside a company, not solely in an advisory or investing seat - Direct experience owning pricing, packaging, or monetization strategy, for example setting or revising list prices, designing tiering and packaging, running pricing research, or measuring the impact of pricing changes - Experience partnering with a product organization on business cases, investment decisions, or roadmap prioritization - Experience with usage-based, API, or developer platform pricing, or other consumption-based business models - Knowledge of and interest in cloud computing infrastructure and compute economics - Proficiency in SQL The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about craft—the details that make something feel polished and trustworthy—but we ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Read more here for the type of features we build. Key responsibilities - Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. - Understand the technical architecture of our products and define primitives for new capabilities. - Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows - Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology - Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts - Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications - Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end - Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments - A portfolio demonstrating user-centered design thinking and polished UI craftsmanship - Proficiency with modern design and prototyping tools, such as Figma - Experience using AI tools such as Claude Code as a creative partner in your own design practice - Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities - Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide - Develop resilient, flexible systems that adapt in real time to real world events - Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers - Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers - Build and operate production-grade deployment pipelines for releasing new models to users - Provide high-performance inference infrastructure that enables researchers to develop next-generation models - Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications - Significant software engineering experience, particularly with distributed systems - Results-oriented, with a bias towards flexibility and impact - Willingness to pick up slack, even if it goes outside your job description - Desire to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Preferred qualifications - Experience with high-performance, large-scale distributed systems - Experience implementing and deploying machine learning systems at scale - Experience with load balancing, request routing, or traffic management systems - Familiarity with LLM inference optimization, batching, and caching strategies - Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) - Proficiency in Python or Rust Representative projects - Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments - Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads - Building production-grade deployment pipelines for releasing new models to millions of users reliably - Contributing to new inference features - Supporting inference for new model architectures - Analyzing observability data to tune performance based on real-world production workloads - Managing multi-region deployments and geographic routing for global customers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on our Enterprise team, your role is to guide some of the UK's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude. Responsibilities - Partner with Enterprise Account Executives and Applied AI Architects to take UK enterprise customers from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude - Lead the technical side of each opportunity, then remain the customer's technical advisor on Claude as they deploy - Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and advise the delivery team as the build progresses - Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation - Build and present the business value case for Claude to C-level and senior executives, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market - Guide customers through long, multi-stakeholder procurement, including security and architecture reviews and a clear path to production, navigating security, compliance, data residency and governance requirements (including UK GDPR) - Feed patterns from enterprise engagements back to Product, Engineering, and the wider Applied AI team, and travel to customer sites across the UK You may be a good fit if you have - 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder - Pre-sales or technical advisory experience selling into large enterprises, ideally in the UK, including owning the technical win (evaluations, proofs of concept, due diligence with security, legal and procurement) - Experience with value-based selling and presenting a business case to C-level and VP-level stakeholders - Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale - Familiarity with enterprise security, compliance, and architecture requirements, ideally in regulated sectors - The ability to explain complex AI concepts clearly to both technical and executive audiences, and a passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 - £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on our Digital Native Business team, you'll help fast-growing, tech-forward companies build their products on Claude. You'll be the technical advisor their engineering teams turn to for architecture, agent design and evaluation, and you'll work alongside them, pair programming and reviewing architectures, to get from first prototype to production at scale. You'll partner with Account Executives and Applied AI Architects to take each customer from first conversation through technical evaluation and proof of value to a confident decision to build on Claude, then stay close as they ship and scale. These customers move quickly and expect you to have built things yourself, so you'll be at your best in the code and the architecture review, not just the meeting. Alongside Anthropic's Product and Engineering teams, you'll develop custom evaluation frameworks, prototypes and reference architectures, and turn what you learn across engagements into technical content and product feedback that helps other builders succeed with Claude. Responsibilities - Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI - Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development - Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude - Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements - Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team - Create technical content for developer audiences including documentation, tutorials, and sample code - Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events - Travel to customer sites for workshops, implementation support, and relationship building You may be a good fit if you have - 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder - Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions - Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale - Strong programming skills with proficiency in Python and experience building production applications - Experience working with high-growth, tech-forward companies - Ability to context-switch across industries (healthcare, fintech, etc.) and use cases - Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience - Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans - Experience facilitating technical workshops, hackathons, or developer-focused events - Passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 - £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities - Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform - Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production - Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds - Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production - Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have a strong interest in LLM serving; prior inference or ML experience is not required - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Thrive in cross-functional collaboration with both internal teams and external partners - Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems - Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications - LLM inference optimization, batching, and caching strategies - Capacity-constrained scheduling or shared-resource test infrastructure - Solid understanding of multi-region deployments, request routing, load balancing, global traffic management - Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service - Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities - Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models - Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps - Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions - Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity - Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Are curious about LLM serving; prior inference or ML experience is not required - Thrive in cross-functional collaboration with both internal teams and external partners - Have experience working with external partners to align goals and deliver impact - Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems - Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications - Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings - Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments - Solid understanding of multi-region deployments, geographic routing, and global traffic management - Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment. As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities - Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it. - Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. - Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. - Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders. - Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. - Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production. - Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. - Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale. - Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning. - Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. - Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions. - Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. - Travel to customer sites (25–50% expected). You May Be a Good Fit If You - Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. - Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites. - Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. - Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. - Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs. - Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. - Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. - Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. - Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000 - £325,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities - Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval - Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online - Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation - Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation - Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality - Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications - Proficiency in Python and SQL - Experience training machine learning models and deploying them to production - Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) - Working understanding of point-in-time correctness and training / serving skew, and how to prevent both - Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications - Experience building or operating a feature platform such as Chronon, Feast, or Tecton - Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams - Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking - Experience with tree-based models on tabular data - Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse - Experience in integrity, spam, fraud, or abuse detection - Experience working with scarce, delayed, or noisy labels - Experience with AutoML or other approaches to automating the ML workflow - Care about the societal impacts of AI and want your work to make powerful systems safer The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy. Responsibilities - Strategic technical partnership: Act as a technical thought partner to the Anthropic GTM partnerships team. Bring technical expertise to help us understand the partner landscape, drive key strategic programs, and find ways to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities. You'll also serve as an escalation point for complex technical issues. - Joint solution development: Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment. - Customer deal support: Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner ecosystem and events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. - Product feedback: Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns. Deliver it to the relevant Anthropic teams to inform the product roadmap and partner strategy. You may be a good fit if you have - 5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager - A track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams - Strong presentation and technical communication skills, with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools, or a background in machine learning or data science - Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £150,000 - £190,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Key responsibilities - Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide - Develop resilient, flexible systems that adapt in real time to real-world events - Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators - Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads - Build and operate production-grade deployment pipelines for releasing new models to users - Provide high-performance inference infrastructure that enables researchers to develop next-generation models - Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications - Proficiency in Python or Rust - Software engineering experience building and operating distributed systems in production - Working knowledge of containerized infrastructure (e.g., Kubernetes) and at least one major cloud platform (AWS, GCP, or Azure) - Results-oriented, with a bias towards flexibility and impact - Willingness to pick up slack, even if it goes outside your job description - Desire to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Preferred qualifications - Significant experience with high-performance, large-scale distributed systems - Experience implementing and deploying machine learning systems at scale - Experience building load balancing, request routing, or traffic management systems - Familiarity with LLM inference optimization, batching, and caching strategies - Deep experience operating Kubernetes and cloud infrastructure at scale - Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware) Representative projects - Designing intelligent routing algorithms that optimize reque

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Integrity & Compliance function is building the systems that let us scale responsibly as our products reach more people, more enterprises, and more governments. Corporate Compliance is a key pillar of that function, covering anti-bribery and anti-corruption, conflicts of interest, gifts and hospitality, outside activities, the Code of Conduct, and related employee-conduct matters. As Senior Compliance Program Manager, you will build and run Anthropic's political law compliance program — the operating infrastructure behind our corporate PAC, corporate political giving, state and local pay-to-play preclearance, and the gift and ethics rules governing our interactions with public officials. As the program develops, the role may also extend to oversight of lobbying registration and reporting. You'll own the program end to end: designing the workflows, registers and controls, doing the work directly where it belongs in-house, and directing and quality-checking outside political law counsel and compliance vendors where we use them. You'll be the day-to-day compliance partner to our Policy and Government Affairs teams, working in close partnership with Policy Legal, who own the substantive legal advice, and with the rest of Corporate Compliance on the anti-corruption side of government engagement. Because we run lean, you may support certain workstreams in our broader corporate compliance program — gifts and hospitality, conflicts of interest, outside business activities and related day-to-day matters — and help design the AI-assisted workflows that let a small team cover a large surface area. This is a builder's role. We're looking for someone who has run political law compliance programs hands-on, is equally comfortable doing the work and managing outside firms who do it, always knows where every preclearance request and filing stands, and can turn fifty-state complexity into simple processes the business will actually use. Key responsibilities - Own the political contributions preclearance program: intake, covered-persons register, jurisdiction-by-jurisdiction pay-to-play screening against live and prospective public-sector business, recordkeeping, and periodic reconciliation - Support corporate PAC compliance operations in partnership with Policy, Finance and outside counsel — restricted-class eligibility controls, solicitation review workflow, FEC reporting oversight, and reconciliations - Maintain the corporate political giving log and vetting workflow for candidate, committee, 527 and c4 contributions, and integrate pay-to-play triggers into contract intake for public-sector deals - Depending on how the program is scoped, support or take on lobbying compliance oversight: keeping a consolidated view of registrations, deadlines and filing status, and working with the outside firms that prepare filings - Manage outside political law counsel and compliance vendors supporting these workstreams — scoping, inputs, quality, timeliness and budget — and recommend over time what should sit in-house versus outside - Run gifts and hospitality review for events and interactions involving public officials, applying federal, state and local gift and ethics rules alongside our anti-corruption standards; disposition routine matters and escalate edge cases - Review and disposition conflicts of interest, outside business activity and gifts and hospitality matters across the broader corporate compliance queue; help maintain the post-government-employment and recusal tracker - Build and deliver training, quick-reference guidance and intake how-tos for Policy, GTM and leadership; keep policies and procedures current as the footprint changes - Serve as product owner for AI-assisted intake, screening and case-management workflows in your areas — define requirements, run testing, decide what is automated versus human-reviewed, and report program metrics to leadership - Spot legal questions early and route them to Policy Legal or outside counsel with the facts assembled; keep I&C, Legal and outside counsel calibrated on risk Minimum qualifications - Hands-on ownership of political law compliance programs — corporate PAC, campaign finance, pay-to-play preclearance and covered-persons tracking, lobbying registration and reporting, government gift and ethics rules — or a closely comparable multi-jurisdiction regulatory program - Track record building a program, not just operating one — designing preclearance or disclosure workflows, registers, filing calendars and controls from scratch or through a major redesign - Fluent enough to do the work directly and experienced enough to manage outside counsel and compliance vendors doing it — scoping, feeding inputs, checking quality, holding deadlines - Working fluency in the federal framework (FECA/FEC, LDA/HLOGA, House and Senate gift rules) and the shape of state and local variation; knows when a question is a legal call and hands it off cleanly - Strong project management and cross-functional execution with Policy/Government Affairs, Legal, Finance and executive stakeholders; clear, brief, business-usable writing - Sound judgment and discretion handling politically and personally sensitive information Preferred qualifications - 7+ years of experience in compliance program management - Experience in a corporate government affairs compliance function, a political law practice or compliance vendor, or a financial-services pay-to-play program (SEC Rule 206(4)-5, MSRB G-37, CFTC) - Range across the broader corporate compliance portfolio — gifts and hospitality, conflicts of interest, outside activities, anti-corruption — and appetite to learn what you haven't done yet - Exposure to non-US lobbying transparency regimes (EU Transparency Register, German Lobby register, Irish Regulation of Lobbying Act, UK) - Hands-on with compliance tooling (case management, GRC, disclosure platforms, workflow automation) and real interest in using AI to run compliance work better - Experience at a high-growth or technology company, or otherwise operating lean without large-team infrastructure - Relevant certification (e.g., CCEP) or paralegal/JD background is a plus, not a requirement; this is a program role, not a counsel role The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's People Legal team is looking for a Lead Employment Counsel to build the legal foundation for our growing workforce across Asia-Pacific. You'll partner closely with our People team and business leaders to design and run employment programs in the region that help our people do their best work. This role pairs deep employment law expertise with pragmatism and creativity. You'll build structures that manage legal risk across several APAC countries today and that will hold up as our presence in the region scales. You'll also help colleagues around the world understand how local requirements shape the way we hire, manage, and support people in APAC. Key responsibilities - Serve as the primary employment lawyer for Anthropic's APAC region, partnering with People and business leaders across People programs, policies and day-to-day issues - Build and maintain the legal infrastructure for new and existing APAC jurisdictions, including Japan, South Korea, Australia, Singapore and India - Advise on market entry and workforce structuring, including acquisitions, employer of record arrangements, contractor classification, and headcount thresholds that trigger local obligations - Partner with Compensation, Benefits, and Equity teams so that global programs are compliant and scalable - Guide employee relations matters, including workplace investigations, in line with local law and practice - Develop and manage strategy on employment disputes across the region, from pre-litigation claims through tribunal and court proceedings, in partnership with outside counsel - Track legislative and regulatory developments across the region, including employee data privacy and emerging rules on AI in employment, and turn them into practical guidance - Develop scalable templates, playbooks, and training that enable stakeholders to operate compliantly Minimum qualifications - Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based - Have deep subject-matter expertise on employment law across multiple APAC countries - Write clearly and concisely, and can provide actionable guidance to non-lawyers - Balance legal risk with business practicality, and work collaboratively with legal and business cross-functional partners - Work effectively with colleagues and stakeholders across multiple time zones Preferred qualifications - At least 12+ years of relevant employment legal experience across law firms and in-house, with demonstrated experience supporting companies through rapid growth - Experience advising People and business teams on the practical application of employment laws in Japan, South Korea, India, Australia, and Singapore - Creative and pragmatic in your approach to developing legal solutions to business problems - Working knowledge of employee data privacy requirements across the region Role-specific policy: For this role, we expect all staff to be able to work from our Sydney office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works. In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel. Key responsibilities - Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage - Set the direction for the framework and extend it to programs it doesn't cover yet - Define marketing metrics clearly and get cross-functional teams to agree on definitions early - Build and maintain the data models that power marketing reporting - Develop dashboards that marketers and executives rely on in their weekly reviews - Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve - Lead adoption of the framework so that both marketing and executive teams use it as their shared source of truth - Partner with finance, sales strategy, and sales development to connect marketing measurement to the broader revenue picture - Find and share the insights nobody asked for, turning analysis into recommendations that change what we do - Write analytical SQL on large datasets to answer questions about funnel performance and attribution - Track framework gaps and data quality issues, and work with data engineering to resolve them - Present findings to marketing leadership and executives in clear, decision-ready formats Minimum qualifications - Have deep experience with marketing analytics, including lead funnels, attribution to enterprise pipeline, and product usage measurement - Have designed metrics from scratch and know what makes a metric trusted and useful - Can write analytical SQL on large datasets with confidence - Have built data models in tools like dbt and dashboards that many people use daily - Are comfortable setting direction without waiting for a plan to be handed to you - Can turn vague questions into clear, measurable definitions - Work well across functions and know how to get teams aligned on definitions before problems surface - Enjoy teaching others how metrics work and helping non-technical audiences build data fluency - Finish what you start, from first definition to adopted dashboard - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Experience building marketing measurement for both enterprise sales-led and product-led growth motions - Familiarity with marketing attribution models and their practical tradeoffs - Experience presenting metrics and insights directly to executives and shaping how leadership reviews performance - A background in data science, analytics engineering, or marketing operations - Experience working with CRM and marketing automation data, such as Salesforce and related tooling - Experience standing up a measurement practice where one didn't exist before - Familiarity with how finance and sales strategy teams think about pipeline and forecasting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Hardware is becoming critical to how AI gets built, and the legal questions are as new as the technology. We're hiring a Commercial Counsel, Hardware to help Anthropic's product teams move fast, build safely, and get the legal calls right. In this role, you'll negotiate a high volume of fast-moving deals for hardware, components, software, and emerging technology procurement needs. This role will also lead multifaceted technology, data, and partnership deals, many of them the first of their kind at Anthropic. You'll be the legal and risk partner that technical and business leaders turn to when they need a fast, practical read on a deal or purchase. You'll clear low risk transactions quickly, spot the ones that deserve a closer look, and build scalable solutions as new complexities come up, all while working alongside Procurement and Finance and Legal colleagues in areas like privacy, IP, and trade. Along the way, you'll also support partnerships with major tech companies, universities, and media organizations, which gives you a view across much of the business. Key responsibilities - Negotiate and close a high volume of agreements for hardware and components, including review of embedded firmware and companion software licenses - Structure and negotiate complex technology, data, and partnership agreements - Track legal and regulatory changes that affect hardware products and components, such as product safety rules and restrictions on foreign-made components, and explain what they mean for our plans - Identify trade, export control, sanctions, and supply chain concerns in cross-border sourcing, and work with our national security and compliance teams to resolve them - Build and maintain self-serve guidance, templates, and AI-assisted review tools so routine purchases don't wait on Legal - Manage outside counsel for specialist questions and overflow volume - Cover other technology or hardware transactions on the Legal team as needed Minimum qualifications - JD and active membership in at least one U.S. state bar (California preferred) - Hands-on experience buying hardware and firmware, components, and software in high volume, fast-paced environments - Deep experience leading complex deals, such as technology or data licensing, joint development, or supply partnerships - Working knowledge of international supply chains and how sourcing choices (and their associated risks) show up in contracts (lead times, single-source risk, warranties, country of origin, higher risk jurisdictions) - Working knowledge of trade and regulatory compliance for hardware, including export controls, sanctions, tariffs and customs - Clear, plain communication with scientists, engineers, and operators, so legal risk turns into a decision they can act on - A low-ego, "doer" attitude and real interest in taking on work outside your core practice area - Intense curiosity about AI and emerging hardware, and a commitment to responsible AI development Preferred qualifications - At least 8 years of legal experience in hardware or a closely related technical space, with the judgment to run risk assessments and deals on your own from day one - In-house time at a hardware-intensive technology company (such as electronics, industrial automation, or complex devices) while it was scaling quickly - Experience supporting product or engineering teams as a dedicated counsel - Experience with facilities or on-site vendor services, including the insurance and safety questions - An engineering, product, or other technical background - Experience using AI tools to speed up your own legal work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Responsibilities - Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making - Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests - Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications - Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals - Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders - Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives - Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls - Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance You may be a good fit if you - Have 7+ years of experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment - Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals - Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments - Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows - Have experience with CRM systems, CPQ tools, and contract management platforms - Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail - Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Strong candidates may also have - Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles - Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking - Experience with deal desk operations at companies with subscription and consumption-based business models - Knowledge of enterprise software contract terms and industry-standard commercial practices - Understanding of AI business models and the unique commercial considerations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £185,000 - £185,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities - Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making - Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests - Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications - Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals - Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders - Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives - Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls - Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications - Have 5+ years of experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment - Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals - Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments - Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows - Have experience with CRM systems, CPQ tools, and contract management platforms - Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail - Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications - Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles - Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking - Experience with deal desk operations at companies with subscription and consumption-based business models - Knowledge of enterprise software contract terms and industry-standard commercial practices - Understanding of AI business models and the unique commercial considerations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Key responsibilities - Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. - Understand the technical architecture of our products and define primitives for new capabilities. - Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows - Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology - Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts - Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications - Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end - Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments - A portfolio demonstrating user-centered design thinking and polished UI craftsmanship - Proficiency with modern design and prototyping tools, such as Figma - Experience using AI tools such as Claude Code as a creative partner in your own design practice - Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Policy Campaigns team turns the company's policy priorities into active campaigns: research and polling, messaging, coalitions, paid media, and external execution. We're hiring a Campaign Strategist to develop and execute paid media campaign strategy, manage agencies, and measure the success of our advocacy campaigns in the US and in priority markets abroad. This is a strategy role. You'll decide what a campaign needs to accomplish, who needs to hear from us, and which messages and tactics will move them. Anthropic works on many policy issues at once, across many markets, and you'll need to understand the full set of issues and find the approach that works across them. You'll direct the agencies that produce and place the work, and bring Policy, Communications, Marketing, Public Affairs, and Legal to agreement on tight legislative timelines. The role also carries a substantial project management load. You'll run several campaigns at once, across time zones and agencies, and keep each one on schedule and on budget. You'll report to the Head of Public Policy Campaigns. Key responsibilities - Design paid and digital campaign strategies for legislative and policy goals, including objectives, audiences, messaging, tactics, phasing, and budget - Develop campaign messaging and tactics with the Campaigns team, executives, Public Affairs, and Communications, and make sure paid media carries the core message - Spot where a campaign could conflict with Anthropic's other policy, commercial, or international priorities, and resolve those tensions before launch - Direct creative and media-buying agencies: set strategy and briefs, scopes and budgets, hold timelines, and hold the work to a high standard - Run several campaigns at once across time zones and agencies: own the timelines, workplans, budgets, and status reporting, and keep partners in the US and abroad aligned - Build rapid response capabilities with Policy, Marketing, Legal, and Communications so campaigns can respond to a news hook or legislative moment in days - Set success measures before launch, report results plainly, and adjust strategy based on what works - Work cross-functionally to find the stories, validators, and moments that make policy arguments concrete for policymakers and opinion formers Minimum qualifications - Experience running digital content and paid media for a corporate affairs team, political campaign, advocacy organization, public affairs firm, or issue campaign, including owning a media budget - Experience managing creative and media-buying agencies, including briefs, scopes, budgets, and performance reviews - Experience running campaigns aimed at policymakers, key opinion formers, or other influential audiences - Experience managing several campaigns or projects at once, with multiple agencies and stakeholders in different time zones - Experience building campaign reporting in spreadsheets or dashboards Preferred qualifications - Experience on state or federal legislative campaigns - Experience running campaigns inside a large organization or coalition with competing priorities - Working knowledge of AI safety and technology policy issues - Experience running campaigns in markets outside the US - Hands-on familiarity with ad platforms and targeting, such as Meta, LinkedIn, and programmatic buying The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Marketing Manager for Global and Regional System Integrators at Anthropic, you'll own marketing for our highest-performing services partners. That includes Global Premier GSIs and the regional systems integrators (RSIs) closing the most partner-attached Claude deals. You'll report to the lead for Services Partner Marketing and work alongside each partner's Partner Account Manager. You'll build a joint marketing plan with each partner and run executive programs and joint announcements. You'll also turn partner deliveries into the customer proof our field needs. Partners are now attached to a large and fast-growing share of Anthropic's biggest enterprise deals. Your job is to make those partnerships deliver more every quarter. This role is hands-on. You'll think strategically about each partner relationship while running the campaigns, events and enablement yourself. Our scaled programs team supports the rest of the partner network. You'll focus on the partners where hands-on marketing moves the most business, and use those scaled programs where they fit. Key responsibilities Partner Marketing Strategy & Execution - Own joint marketing plans for an assigned group of high-performing GSI and RSI partners, including quarterly planning, campaign calendars, and success metrics tied to target accounts and pipeline goals - Develop joint campaigns and executive programs (CXO dinners, executive briefings, tentpole event activations) aimed at C-suite and senior decision-makers at enterprise customers - Work with Partner Account Managers and the Alliances team to identify priority accounts and build account-based plays that leverage partner relationships - Lead joint announcements from first draft through approvals, holding partner copy to Anthropic's messaging and brand standards - Spot RSIs gaining traction and help them grow into higher tiers Content, Proof & Enablement - Build joint value propositions, messaging, and enablement materials (pitch decks, solution briefs, case studies) that help partners position Claude with their enterprise clients - Turn partner deliveries into proof: capture wins for sellers, and work with Customer Marketing to produce partner-led customer stories that meet each partner's tier requirements - Get your partners carrying Anthropic's priority messages and launches, and build them into Anthropic's own campaigns with the Campaigns team - Put the team's co-marketing guidelines, campaign kits and self-serve assets to work across your partners Program Management & Measurement - Lead end-to-end execution with your partners, coordinating across product marketing, demand generation, field marketing, events and agencies - Manage partner funding (MDF/co-op) for your partners and track ROI on joint investments - Track and report partner-sourced and influenced pipeline, story output, and campaign ROI, with 30/60/90-day pipeline tracking on every activation - Represent Anthropic at partner events, executive briefings, and industry conferences as needed - Feed what works back into playbooks the scaled programs team can run across the wider partner network Minimum qualifications - Have built and run partner marketing programs with Global System Integrators, major consulting firms, or regional systems integrators, and can shift between large firms and smaller, faster-moving ones - Understand enterprise buyer journeys and can create marketing programs that resonate with C-level executives - Are skilled at developing joint value propositions that articulate clear business outcomes for enterprise customers - Build trusted relationships with partner marketing and sales teams, and can move a partner on priorities you don't control - Can own a partner portfolio end to end within a team strategy, and know when to escalate - Are highly organized and detail-oriented, and can run multiple partner plans at once without dropping quality - Write clearly and precisely, with experience creating executive-level content and holding partner copy to a high bar - Are data-driven and comfortable tracking marketing metrics, analyzing performance, and optimizing programs based on results - Thrive in fast-paced, high-growth environments and are comfortable with ambiguity and changing priorities - Have a "get it done" mentality and aren't afraid to jump in wherever needed to ensure program success - Care about the societal impacts of AI and are excited about enabling enterprises to adopt AI responsibly Preferred qualifications - Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments - Experience in the AI/ML industry or working with AI-powered products - Established relationships within the GSI, consulting or regional SI ecosystem - Worked on the partner side, at a GSI or SI, in alliance or technology partner marketing - Experience with tiered partner programs, including benefits and promotion reviews - Experience producing partner-led customer stories with enterprise customers - Understanding of enterprise AI use cases across different industries and functions - Experience with CRM systems (such as Salesforce) and partner relationship management tools - Used Claude or other AI tools to scale their own marketing work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle, or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. If based in Seattle or New York, this role will require traveling to the San Francisco office once a month. Additionally, this role may require up to 20% of the time for partner meetings and partner events. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is available to enterprises through Microsoft Foundry, and the Microsoft partnership has become one of our most important paths to market. Many of the largest enterprises in financial services, healthcare and life sciences, and the public sector buy Microsoft first, and we want Claude to be the obvious choice when they do. As Partner Manager for Microsoft Co-Sell, you will turn that partnership into pipeline and closed revenue. You will build and run joint sales plays with Microsoft's field organization, connect Anthropic account executives with their Microsoft counterparts on shared target accounts, and make sure deals that start in a co-sell conversation actually close through Azure Marketplace. You will own your work end to end, from the details of a single stuck deal to the executive readout on how the partnership is performing. Key responsibilities - Own the co-sell engine day to day: design joint sales plays with Microsoft around the strongest enterprise use cases, run account mapping with Microsoft sellers, and turn introductions into working groups and joint opportunities that show up as pipeline - Keep deals moving through Azure Marketplace, including private offers, billing setup, and partner attribution; track every opportunity through that process, know where it is stuck and who needs to act, and work with both sides until it closes - Run the regular pipeline and escalation rhythm with Microsoft - Give Anthropic and Microsoft leaders a clear view of what is working and what is blocked - Bring field insight back to our product and go-to-market teams - Own at least one major joint initiative with Microsoft, such as a flagship event, a product workstream, or deal operations Minimum qualifications - Experience owning a revenue or pipeline number through a partner or co-sell motion, with results you can point to - Working knowledge of how enterprise deals transact through a cloud marketplace, including hands-on experience unblocking stuck deals - Strong attention to detail and operational rigor, with the ability to turn that detail into a clear, concise story for executives - A record of taking full ownership of your work: closing loops and keeping stakeholders informed proactively - Ability to keep a stalled deal or program moving through repeated blockers until it is resolved - Ability to build trust across a large, matrixed partner organization, with field sellers and their leaders alike Preferred qualifications - Experience selling or partnering around AI, ML, or developer platform products - Direct experience with Microsoft's partner ecosystem, such as Partner Center, Azure Marketplace, and the co-sell program - Experience selling into financial services, healthcare and life sciences, or the public sector The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is growing quickly across Asia Pacific, and our International Recruiting Coordination team is building for it. As our first Recruiting Coordinator based in Singapore, you'll deliver a warm, high touch interview experience for candidates across APAC, including Japan, Korea, India, Australia, New Zealand and South East Asia. You'll partner closely with our APAC recruiters and recruiting managers, be the local point of contact for candidates and interviewers in the region and help keep hiring moving around the clock as part of a follow the sun coordination model with your teammates. As you'll be first in seat, you'll also help shape how coordination works in a region where we're still building: spotting what's missing, documenting what works and making it easier for the people who join after you. You'll own coordination for your region end to end and act as our go to operator for APAC hiring logistics, working independently with support from your manager. Responsibilities: - Schedule a high volume of APAC interview loops, from hiring manager screens through onsites, debriefs and reference calls, across multiple time zones, languages and stakeholder calendars. - Be the primary point of contact for candidates on logistics, with a warm, clear and culturally aware tone that makes every candidate feel supported and informed. - Partner with recruiters and hiring managers as a trusted advisor: flag capacity risks, local holidays and market norms early, and help them see around corners. - Keep our systems accurate for APAC roles, including Greenhouse job setup, interview plans; scheduling tool configuration and supervise automations. - Provide coverage within our follow the sun model, with clean handoffs so candidates never feel the gaps between regions. - Support recruiters and RecOps with regional hiring operations as our APAC footprint grows, such as new locations, entity changes, offer logistics and onboarding handoffs. - Improve our processes and document what works. - Independently scope and lead projects, from problem to adopted solution. - Use AI tools as a core part of your daily workflow. You may be a good fit if you have: - 4+ years of experience in recruiting coordination or high volume scheduling, ideally supporting multiple APAC markets. - Experience coordinating across time zones and markets, with an understanding of local business norms across APAC. - Hands-on experience with an applicant tracking system (e.g., Greenhouse) and a scheduling tool (e.g., ModernLoop, GoodTime). - Excellent written communication, especially a knack for friendly, informative emails that build rapport and convey information clearly. - Comfort creating structure where there isn't one yet, and the judgment to know when to escalate. - Hands on fluency with AI tools, and the judgment to know when to trust the output and when to override it. - A love of feedback, and comfort both requesting and providing it. - Fluency in English (native or business-level). - Additional APAC languages (e.g., Japanese, Korean or Mandarin) a plus. - A genuine interest in Anthropic's mission and our deep commitment to AI safety. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Join Anthropic's Customer Success team as our early Singapore-based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across ASEAN, helping them harness the full potential of all our Claude capabilities - Claude Enterprise, Claude Code, and the API. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our product development and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As our early CSM in Singapore, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: - Build trusting, strategic relationships with customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments - Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs as the voice of ASEAN and broader APAC customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as the early in-region CS presence, developing where needed, ASEAN-specific processes, playbooks, and best practices that account for regional business cultures You may be a good fit if you have: - 8+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer or similar) - Mandarin language fluency - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns to various audiences - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Strong project management skills and a knack for bringing order to chaos, demonstrating an enthusiastic "roll up your sleeves" mentality and team player mindset - Passion for AI and interest in responsible development of advanced systems - Experience working in and building a growing region, while navigating across time zones with US-based headquarters Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Office of the Chief Commercial Officer is a small team that works directly with our CCO, go-to-market leadership, and company leadership on Anthropic’s highest-priority commercial initiatives. We take on problems that do not sit cleanly inside one team, such as standing up a program that spans Product, Finance, Legal, and Sales, or preparing the material our executives and Board use to make decisions. Our commercial business is growing faster than its operating processes can be built, so a growing share of the job is stepping into gaps and running something important, while making sure other teams are building the capabilities to permanently own. You will own workstreams end to end. One week that means running the go-to-market side of a pressing situation, from the communications plan for customers and account teams to the daily readout for executives. Another week it means building the analysis behind a resourcing decision or a new program and writing it up for the CCO. This is an internal role. You will report to the CCO’s chief of staff, and you will have an unusually broad view of how the company makes decisions. Key Responsibilities: - Drive priority go-to-market initiatives from plan to delivery, removing blockers, escalating early, and connecting the right people across teams at the right time - Build the analysis, draft the document or deck, and turn input from many teams into a recommendation executives can act on - Prepare content for the CCO and leadership team, including weekly staff meetings, updates to the Office of the CEO, Board materials, and leadership offsites - Track the go-to-market organization’s top priorities and keep a current view of status, owners, and risks - Act as a bridge between go-to-market and Product, Finance, Legal, Safeguards, and Research, so that what account teams hear from customers reaches product decisions and those decisions reach account teams in a usable form - Step in where something important has no clear owner, run it until it has a permanent home, and hand it over cleanly - Close out same-day executive requests quickly and to a high standard You may be a good fit if you: - Have 4+ years of experience in management consulting, strategy and operations, a chief of staff team, or a similarly rigorous environment working with senior executives - Structure ambiguous problems well and get to a clear recommendation - Can get to a number yourself in a spreadsheet, in SQL, or with Claude, check it against a second source, and explain where it came from - Write and speak clearly and briefly for executive audiences - Are as willing to maintain the tracker and chase the last open items as to write the strategy - Are comfortable with significant autonomy and with priorities that shift on short notice, pay close attention to detail, and know when to escalate - Build trust quickly with senior people across the company who are short on time - Use AI tools as a core part of how you work - Care about Anthropic’s mission and about getting safe, useful AI to customers Strong candidates may also have - Experience in technology, SaaS, or enterprise software, or exposure to go-to-market strategy, sales operations, or customer success - Experience running a product launch, a program office, or another cross-functional effort with many owners and a fixed date - Familiarity with how large enterprises buy and adopt technology, including security, legal, and procurement review The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring a policy generalist to join the Strategic Advisory team within Anthropic's Public Policy team. You'll develop and maintain our policy research strategy and lead the research behind it, to strengthen Anthropic's policy influence in Washington and around the world. You'll lead the research that backs up Anthropic's policy positions: deciding what evidence a position needs, working with Anthropic's research teams on what our own data can show, building partnerships with outside academics, think tanks and economists, and managing our growing body of commissioned research and economic impact work. You'll turn that research into analysis and materials our federal, state and international teams can use. You'll also run the cross-functional processes that take an open policy question to an agreed, evidence-backed position. As Anthropic's international footprint grows, you'll help the team scale its research and support for markets outside the US. You're likely a strong generalist who likes to build things and see them through, and who gets energy from turning complex research into something clear, organized and useful. You're curious and rigorous about evidence. You ask what would change a skeptic's mind, you can tell a strong study from a weak one, and you know when to bring in a subject matter expert. You have good judgment, you take initiative, and you're comfortable when the path isn't defined yet. You can run several research projects and outside partners at once while keeping track of how they connect. Key responsibilities - Run policy development processes from open question to agreed position: frame the question, bring in the right experts from research, legal, communications and regional policy teams, work through disagreements, and get to a decision - Develop research plans for priority issue areas: what evidence would strengthen or test a position, what Anthropic's own data and research can show, and where an outside partner is the right source - Work with Anthropic's research teams, including economics research, Societal Impacts and the Frontier Red Team, to turn their findings into material policymakers can use - Manage commissioned research from scoping through publication, and build partnerships with outside academics, think tanks, economists and consultancies - Own economic impact reports and the narratives that go with them for markets around the world - Anticipate emerging policy issues and work with internal experts to develop Anthropic's perspective and supporting materials before external pressure builds - Scale the team's support for international markets: adapt strategy and materials for different governments, and build templates and processes so each new market is faster than the last - Draft briefings, talking points and other materials on short timelines, coordinating with policy communications so messaging stays consistent Minimum qualifications - A track record of driving cross-functional projects to a decision or finished product, including getting people with competing interests to agreement when you don't manage them - Experience as a policy generalist across several issue areas, including designing and carrying out policy research and turning it into policy proposals or positions - Ability to scope a research question, work with economists, academics and other experts to answer it, and judge the quality of their evidence and methods, for example through economic consulting, a policy research organization, or an in-house research team - Excellent writing: you can turn complex technical or economic material into clear, concise memos, briefings and talking points for different audiences - An understanding of how a company's commercial interests and its policy positions fit together - Strong organization and project management, including running several projects and outside partners at once - A record of working independently, taking ownership of problems, and driving next steps and deliverables without being prompted - A collaborative, low-ego approach: you pitch in wherever the work needs you and share credit readily - Interest in AI policy and alignment with Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - 5+ years of professional experience in technology policy, public affairs, consulting or a related field - Experience on an in-house technology policy team, in corporate public affairs, or in management or economic consulting, especially public sector or policy practices - Experience managing outside vendors, research partners or commissioned studies, including economic impact studies - A background in AI or technology policy - Relationships with academics, think tanks or research organizations working on AI or technology policy - Experience with international policy or supporting teams in multiple countries - Training in economics or quantitative methods The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial. We’re looking for an experienced Technical Program Manager to own and evolve incident management within the privacy team. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from privacy incidents. These incidents involve personal data subject to GDPR, CCPA, HIPAA and similar laws, and to the contractual commitments Anthropic makes to its customers. You’ll be the driving force behind maturing and scaling our incident response lifecycle, from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You will partner closely with Privacy Legal on notifiability and communications, and with the Privacy Program team on executive and board reporting; this role owns the engineering-side programme, its metrics and its follow-through. You won’t just manage incidents: you’ll make sure we get meaningfully better after each one. Key responsibilities - Own the end-to-end privacy incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking. - Serve as incident commander for privacy incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders. - Establish and run incident commander rotations within privacy, ensuring clear ownership and effective coordination during incidents of varying severity. - Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams, ensuring follow-through on both tactical fixes and strategic improvements. - Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable. - Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms. - Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization. - Partner with Privacy Legal on breach and notifiability assessments against regulatory timelines, coordinate customer and regulator communications when required, and keep privileged and non-privileged records appropriately separated. - Develop and maintain privacy incident response documentation, playbooks, runbooks, and training materials; keep them current as our products, data flows and obligations evolve. - Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for privacy events. - Define, develop, and track incident management KPIs and report regularly to leadership. - Support broad cross-functional training and initiatives to uplevel privacy awareness across the company (e.g. Tabletop exercises, training, talks). Minimum qualifications - Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment. - Have a demonstrated track record of turning incident data into organizational improvements: not just writing post-mortems, but driving the cross-functional work to implement systemic fixes. - Are comfortable participating in on-call responsibilities and leading incident response during high-severity privacy events, including off-hours. - Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist. - Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop. - Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization. - Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations. - Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership. - Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information. Preferred qualifications - Have 7+ years of experience in technical program management, incident management, or security/privacy operations, with significant time spent in an incident response context. - Are familiar with privacy regulation and breach-notification obligations (GDPR, CCPA, HIPAA or similar) and comfortable working with legal counsel under privilege, or have a legal background. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Responsibilities: - Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are - Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases - Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs - Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it - Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied - Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation - Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs - Integrate with third-party identity verification and data enrichment vendors You may be a good fit if you have: - A Bachelor's degree in Computer Science, Software Engineering, or comparable experience - Experience building and operating backend systems in production - Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders - Care about the societal impacts of AI and want your work to make powerful systems safer Strong candidates may also: - 8+ years of industry software engineering experience - Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case - A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build - Experience with identity, authentication, or authorization systems at scale - Experience with KYC/KYB workflows or identity verification vendors - Experience in trust and safety, integrity, fraud, or abuse detection - Experience detecting and responding to account takeover or credential compromise - Experience partnering with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is seeking an experienced Datacenter Controls Engineer to join our Datacenter Infrastructure team. In this role, you will design, implement, and optimize control systems that support our global datacenter infrastructure, enabling the reliable operation of AI at scale. You will work on cutting-edge control systems managing critical datacenter operations including liquid cooling systems (CDUs/CDMs), HVAC, electrical power monitoring systems, and building automation systems. This position requires both technical depth in industrial automation and the ability to collaborate across disciplines to deliver integrated solutions for high-density AI compute infrastructure. Responsibilities System Architecture & Integration - Design and implement multi-site controls architecture across Anthropic's global datacenter facilities - Define network topology, redundancy, and high-availability requirements for control nodes and servers - Develop and maintain standardized frameworks for BACnet, Modbus TCP/IP, OPC-UA, MQTT, and SNMP communication layers - Ensure integration between control systems and enterprise networks while maintaining security boundaries and compliance with cybersecurity frameworks for industrial control systems Control System Design & Implementation - Define, design, develop, and implement control systems for datacenter mechanical, electrical, and building management systems with focus on AI compute environments - Develop SCADA/BMS applications using platforms including Ignition, Niagara/Tridium, or similar HMI/supervisory systems - Select and specify instrumentation including sensors, transmitters, actuators, and control valves for liquid cooling loops, power distribution, and environmental monitoring Data Collection & Visualization - Architect and supervise deployment of centralized telemetry systems capable of storing high-resolution time-series data from power, thermal, and environmental sensors - Develop intuitive dashboards and visualization layers using Ignition SCADA, Grafana, or comparable frameworks for facilities, operations, and engineering teams - Leverage control systems to enable performance insights, fault detection, and predictive maintenance capabilities Construction Integration & Documentation - Participate in new design and construction projects to ensure controls and BMS standards are embedded from design through commissioning - Define and review controls and instrumentation specifications in architectural and MEP packages - Create comprehensive technical documentation including P&IDs, control narratives, sequence of operations, and commissioning procedures - Validate installed systems during commissioning for proper network configuration, protocol compatibility, and data visibility Minimum Qualifications - Bachelor's degree in Engineering (Electrical, Controls, Mechanical, Computer) or equivalent practical experience - 7+ years of experience in control systems design and implementation for industrial automation, building automation, or datacenter systems - Deep familiarity with industrial communication protocols: BACnet, Modbus TCP/IP, OPC-UA, MQTT, SNMP, Ethernet-IP - Experience with instrumentation selection, control panel design, and control system integration - Working knowledge of network architecture including subnets, VLANs, firewall rules, and IP management - Strong documentation skills and ability to work effectively in cross-functional teams Preferred Qualifications - 10+ years in datacenter, critical facilities, or mission-critical infrastructure environments - Experience with liquid cooling systems including CDUs, CDMs, and cooling tower control systems - Background in high-density rack integration environments and AI/ML compute infrastructure - Experience designing or deploying BMS/SCADA systems such as Ignition, Niagara/Tridium, Wonderware, or similar - Strong background in database integration (SQL Server, InfluxDB, PostgreSQL, TimescaleDB) and data logging architecture - Proficiency in Python or scripting for automation/configuration within SCADA/BMS frameworks - Experience deploying multi-site redundant controls servers with high-availability requirements - Professional Engineering (PE) license or vendor certifications (Schneider, Rockwell, Siemens) - Knowledge of relevant codes and standards: ASHRAE, NFPA, IEEE, ISA - Familiarity with Grafana, Node-RED, Ignition Perspective, or equivalent visualization tools - Experience bridging cloud orchestration systems with facility-level power controls and load management (e.g., DCIM, BMS, EPMS) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: - Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review - Build abuse detection mechanisms and infrastructure - Surface abuse patterns to our research teams to harden models at the training stage - Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: - A Bachelor’s degree in Computer Science, Software Engineering or comparable experience - Proficiency in Python and Typescript - An ability to work across the stack - Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: - 8+ years of experience in a software engineering position - Have experience with integrity, spam, fraud, or abuse detection and mitigation - Have experience building trust and safety detection mechanisms and intervention for AI/ML systems - Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs - Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: - Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion - Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases - Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions - Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams - Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: - 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales - Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies - Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams - Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation - Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures - Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams - Track record of selling technical products in competitive markets - Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns - Passion for making powerful technology safe and societally beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £165,000 - £190,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude - advising on implementation, agent design, and working alongside them to build at the frontier of AI. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude. Responsibilities - Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI - Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development - Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude - Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements - Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team - Create technical content for developer audiences including documentation, tutorials, and sample code - Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events - Travel to customer sites for workshops, implementation support, and relationship building You may be a good fit if you have - 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder - Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions - Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale - Strong programming skills with proficiency in Python and experience building production applications - Experience working with high-growth, tech-forward companies - Ability to context-switch across industries (healthcare, fintech, etc.) and use cases - Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience - Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans - Experience facilitating technical workshops, hackathons, or developer-focused events - Passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 - £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping systems integrators, startups, and other GovTech companies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with Claude Code, the Claude API, and Claude for Enterprise - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel frequently to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - US Secret Clearance preferred for working with defense tech customers - Prior work in government, government contracting, or government tech preferred - 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiar with Python - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: - Developing systems that enable models to use computers effectively - Advancing code generation through reinforcement learning - Pioneering fundamental RL research for large language models - Building scalable RL infrastructure and training methodologies - Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: - Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. - Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. - Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. - Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: - Are proficient in Python and async/concurrent programming with frameworks like Trio - Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) - Have industry experience in machine learning research - Can balance research exploration with engineering implementation&lt

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. We are designing an integrated compliance and risk ecosystem that serves as a trust engine and an independent risk advisor as Anthropic governs itself at a level beyond frameworks. As part of Security GRC's technical controls assurance function, you will be the voice on what the control environment must achieve. You will define control requirements and acceptance criteria for our global compliance obligations (e.g. SOC 2, ISO 27001/42001, HIPAA, public sector) across the software development lifecycle, pair with engineering as they design and implement against those requirements, and validate that what ships actually meets the bar. Key responsibilities - Define the control framework and requirements for autonomous AI operators in collaboration with Security, Internal Audit, and Engineering, including change review and approvals, human-in-the-loop, and evidence collection. Assess implementations against those requirements. - Pressure-test major infrastructure, system, and agent framework changes for control impact during design, before decisions become expensive rework. - Set the compliance bar for home-built systems. Collaborate with teams to define what the internal system must provide from day one, such as auditability, segregation of duties, and change control over the tool itself. - Define the criteria for where and when AI can operate, supplement, or replace a manual process or control, including the human-in-the-loop thresholds and evidence documentation. - Establish the validation, evidence, and governance standards that allow AI-performed and AI-assisted processes and controls to withstand external audit and regulatory scrutiny. - Assess the introduction of new compliance frameworks and changes in scope (new regulations, certifications, products, or entities), providing a sufficient technical and compliance lens on their impact to control design, evidence requirements, and engineering effort before commitments are made. - Stand up or advise on audit workflows for the assurance team, including Claude-driven control testing, automated evidence collection, walkthrough preparation, and framework mapping against our common controls framework, materially raising automated evidence coverage and cutting audit prep time. Minimum qualifications - Thrive at the pace of a hypergrowth company. You’re comfortable making calls with incomplete information and reprioritizing as scope shifts. - Have supported technology control programs through SOX readiness or as a public company or with equivalent rigor (FedRAMP, large mult

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities - Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning - Partner across teams to ensure new compute capacity is ingested on time - Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity - Collaborate with security owners to ensure clusters are provisioned secure-by-default - Define and drive strategy on cluster scalability, homogeneity and fault tolerance - Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy - Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health - Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. - Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems - Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications - 10+ years of software engineering experience, including time as a technical lead setting direction for a team - Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) - Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) - Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) - Experience with cluster and host networking: CNI (Cilium), eBPF,

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows. Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. Responsibilities: - Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans - Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others - Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams - Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds - Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads You may be a good fit if you: - Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment - Have strong proficiency in Python, Rust and/or Go - Are obsessed with developer productivity and reducing friction in the software development lifecycle - Have experience with container orchestration and infrastructure at scale - Have excellent communication skills and enjoy supporting internal partners to improve their development experience - Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: - 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure - 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead - Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale - Experience building or operating remote build execution systems (B

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for seasoned iOS engineers to join our Claude mobile product team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key r esponsibilities - Architect and implement cutting-edge iOS applications - Develop novel solutions leveraging AI technologies - Optimize performance at all levels of the mobile stack - Champion best practices in mobile development - Obsessive attention to detail and app experience - Contribute to backend systems as needed Minimum qualifications - Expertise in Swift, UIKit, SwiftUI, and iOS frameworks - Proficiency with the latest mobile platform capabilities and intricacies - Practical experience with full-stack development and comfort working with backend technologies - A track record of shipping impactful, high-adoption mobile applications - Strong communication and mentorship skills - Thrived in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates Preferred qualifications - 0-to-1 experience building successful products in early-stage environments - Experience building applications that utilize modern ML/AI technology - 3D graphics, visual effects, and audio and video streaming on mobile - A vision for the future of human-machine interaction and a drive to make that vision a reality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field rele

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function. You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable. This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority. We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job. Key responsibilities - Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning - Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems - Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration - Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them - Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process - Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work - Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap Minimum qualifications - H

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: - Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments - Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security - Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments - Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. - Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement - Identify and remediate security gaps through code review, threat modeling, and hands-on debugging - Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: - At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production - Bachelor's degree in Computer Science or equivalent industry experience - Strong programming skills in Python or at least one systems language such as Go or Rust - Experience contributing to cloud security controls - A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix - Clear communication skills and the ability to work collaboratively across engineering teams - Low ego and high empathy, with a genuine interest in helping teammates succeed - Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: - Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure - Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers - Experience with cloud security posture

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities - Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair - Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families - Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity - Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others - Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy - Establish and evolve operational excellence practices (incident response, postmortem culture, on-call) - Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. - Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium) - Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems - Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications - 7+ years of software engineering experience, including time as a technical lead setting direction for a team - Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency - Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines - Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons - Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. - Demonstrated ownership of production reliability for high-throughput,

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads. Responsibilities - Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more - Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others - Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams - Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact - Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads You may be a good fit if you: - Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment - Have strong proficiency in Python, Rust and/or Go - Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes - Have experience with container orchestration and infrastructure at scale - Have excellent communication skills and enjoy supporting internal partners to improve their development experience - Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: - Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure - Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead - Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house)</li&g

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking a vulnerability assessment candidate for platform security. You'll work cross functionally with teams across Anthropic and our partners to assess security features in hardware, firmware, bootloaders, operating systems, and attestation systems to identify and remove vulnerabilities from the ground up. This role requires expertise in low-level systems security and the ability to audit the most security-critical platform elements. This is not a role where you can simply file a ticket and hope that the fixes get into production and stay in production. The role requires taking ownership that everything you find is eliminated fully and correctly in production, including ensuring known vulnerabilities are never reintroduced. Key responsibilities - Audit secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) - Audit attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer - Audit measured boot implementations and runtime integrity monitoring - Integrate security controls with infrastructure teams without impacting training performance - Validate security mechanisms before production deployment - Conduct firmware vulnerability assessments and penetration testing - Build firmware vulnerability assessment pipelines for continuous security monitoring - Document security architectures and maintain threat models - Collaborate with software and hardware vendors to ensure security capabilities meet our requirements for exploit mitigation Minimum qualifications - Proven track record of conducting hands-on vulnerability auditing on complex, security-critical systems - Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone) - Strong understanding of cryptographic protocols and hardware security modules - Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation - Proficiency in low-level programming languages (C, Assembly) and systems programming - Knowledge of firmware vulnerability assessment and threat modeling - Ability to work effectively across hardware and software boundaries - Strong communication and cross functional collaboration skills - Track record of assessing security architectures for complex, distributed systems Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on low-level security (firmware, bootloaders, and OS kernel-level security) - Capacity to audit for logic bugs in code written in Rust or Go - Ability to find vulnerabilities via reverse engineering in software that is provided only in binary form - Experience performing f

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities - Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption - Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us - Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on - Build and maintain custom controllers, operators, and CRDs - Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities - Collaborate with cloud providers on required features and escalations - Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications - Significant software engineering experience building and operating production distributed systems - Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) - Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters - Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes - A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on - Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications - Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar - Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) - Background scaling control planes or coordina

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Role Summary A systems-level engineer specializing in network infrastructure and network optimization, with expertise in building and maintaining software that interacts with networks. You will be responsible for writing and maintaining software that interfaces between our accelerators and our high-speed networks. This role requires deep technical knowledge of network protocols, kernel-space and/or user-space networks, interfacing with hardware, and the ability to debug and optimize distributed software at the network level. You may be a good fit if you have: Networking Systems Engineering: - Expert-level proficiency with network protocols and networking concepts - Deep kernel networking: TCP/IP stack internals, XDP, eBPF, io_uring, and epoll - User-space networking: DPDK, RDMA, kernel bypass techniques - Understanding of how to build higher-level abstractions like collectives and RPC - Skilled at diagnosing and resolving networking issues in distributed systems, especially at OSI model layers 2-4 Low-Level Systems and OS Programming: - Strong programming skills in a systems programming language, including memory management, lock-free data structures, and NUMA-aware programming - Software, driver, and OS performance optimization tools and techniques - Comfort with or desire to learn Rust Strong candidates may have: - Understanding of ML accelerators and accelerator drivers - Demonstrated ability to design new network protocols - Experience with PCIe and drivers for PCIe devices - Expertise in algorithms used in networking, including compression and graph algorithms - Experience programming on SmartNICs - 5+ years of experience in systems programming or network programming - Often comes from backgrounds in: HPC, telecommunications, host networking software, OS/kernel engineering, or embedded systems - Strong debugging mindset with patience for complex, multi-layered issues Representative Projects: - Build a system for accelerator-initiated tensor movement over the network - Benchmark software for a new networking environment - Implement a new collective algorithm to improve latency - Optimize congestion control algorithms for large-scale synchronous workloads - Debug kernel-level network latency spikes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: <div class="pay-range"&g

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We're looking for an experienced tech lead to join our Evals Infrastructure team, building the systems that let us measure what our models can actually do. Evaluation is how we know whether a model is safe to ship — you'd own the infrastructure that makes those measurements fast, reliable, and trustworthy at scale. In this role you'll work at the intersection of inference, research and infrastructure engineering: managing the large scale distributed systems that orchestrate evals for our frontier models, building and scaling the harnesses researchers use to design and run evals, making results reproducible and interpretable, and ensuring eval signal is available where decisions get made. Your work directly shapes what we build and what we don't. Responsibilities - Lead the team building the distributed systems that schedule, orchestrate, and execute evals for our frontier model training - Own eval throughput and cost: compute allocation across suites, queueing against constrained accelerator pools, caching and reuse of eval work - Build and scale the harnesses researchers use to define, run, and iterate on evals - Make eval results trustworthy — determinism, reproducibility, and honest uncertainty quantification on reported metrics - Ensure eval signal reaches the dashboards and reviews where launch decisions actually get made - Contribute directly as an engineer while managing and growing the team, prioritizing its work, and coaching your reports You may be a good fit if you - Have led technical projects end-to-end on large-scale distributed systems, and have 1+ years managing engineers (or tech-lead-with-reports experience) - Are strong in Python and Rust - Have built high-throughput, fault-tolerant systems on cloud or on-prem accelerator fleets - Care about measurement quality, not just pipeline uptime — you'd notice if a metric moved for the wrong reason - Communicate well with researchers and can translate research needs into infrastructure - Are deeply interested in the transformative effects of advanced AI and committed to safe development Strong candidates may have - Worked on LLM inference or training infrastructure - Experience with eval or benchmarking systems, especially agentic evals requiring sandboxed execution - Working statistical literacy — variance, confidence intervals, sample-size sufficiency for noisy metrics - Experience with observability and regression detection over time-series metrics Sample Projects - Rebuilding the eval orchestration layer to cut wall-clock time on the pre-train eval suite - Designing compute allocation and scheduling so eval suites fit inside a fixed fraction of a prod

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models, including data pipelines, some of the largest Kubernetes clusters in the world, along with the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff+ Software Engineer on our Infrastructure team, you'll independently scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve. - Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This lets us match you with the team where you'll have the most impact. Key responsibilities - Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system - Make architectural decisions that shape the foundation of infrastructure other engineers and teams build on - Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces - Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs - Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow - Set technical strategy and standards for your team's infrastructure - Build and improve operational processes, such as incident response, postmortems, and on-call rotations, that help the team learn from every incident - Mentor other engineers and help raise the technical bar for the team Minimum qualifications - Experience designing, building, and operating large-scale distributed systems or infrastructure in production - A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects - Experience making architectural decisions that other engineers and teams build on top of - Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java) - Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP - Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders Preferred qualifications - 10+ years of software engineering experience, not including internships - Experience with machine learning infrastructure, such as GPUs, TPUs, or Trainium, and associated networking infrastructure like NCCL - Low-level systems experience, such as Linux kernel tuning or eBPF - Background in security or privacy engineering best practices - Prior experience as a

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new models and products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize credible applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You thrive in ambiguous environments and can uncover latent, non-obvious use cases for nascent technologies, bringing these insights back to research. Your curiosity about user needs enables you to connect advanced technology to products that deliver real-world value. We seek experienced founders and product managers who can bridge research and ambitious product experimentation, with the ability to create and grow entirely new product categories enabled by AI. Responsibilities - Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems - Partner with research to define, improve, and ship model capabilities within a research area - Identify nascent research that could become transformative products - Synthesize user insights into actionable requirements and evaluations - Understand the AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position - Work with and influence a diverse set of stakeholders, including research, product engineering, and platform engineering teams Minimum Qualifications - Have a deep passion and curiosity for AI and LLMs. Use AI regularly. - Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions - Possess a deep technical background with a strong grasp of AI/ML concepts and are willing to go deep on technical solutions; have a data-driven mindset with working proficiency in Python and SQL - Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities - Have a track record of launching ambitious products that have achieved distribution or commercial success - Have intellectual curiosity without ego—comfortable asking questions and learning independently - Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks - Have a creative, hacker spirit and love solving puzzles Preferred Qualifications - Have 5+ years in product management, with experience launching new products and scaling existi

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities - Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning - Partner across teams to ensure new compute capacity is ingested on time - Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity - Collaborate with security owners to ensure clusters are provisioned secure-by-default - Define and drive strategy on cluster scalability, homogeneity and fault tolerance - Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy - Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health - Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications - Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) - Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. - Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems - Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications - 10+ years of software engineering experience, including time as a technical lead setting direction for a team - Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) - Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) - Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) - Experience with cluster and host networking: CNI (Cilium), eBPF,

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. That includes data pipelines, some of the largest Kubernetes clusters in the world, and the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff Software Engineer on the Infrastructure team, you'll scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work with research and product teams to build systems that keep pace as their needs change. Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This helps us match you with the team where you'll have the most impact. Key responsibilities - Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system - Make architectural decisions that shape the foundation other engineers and teams build on - Drive alignment on technical direction across teams, working through ambiguous problem spaces - Partner with research and product teams to understand their infrastructure and compute needs, and turn them into technical designs - Own the reliability, scalability, and security of the systems you build as usage and complexity grow - Set technical strategy and standards for your team's infrastructure - Build and improve operational processes such as incident response, postmortems, and on-call rotations, so the team learns from every incident - Mentor other engineers and help raise the technical bar for the team <h2 class="mt-3 -mb-1 text-[1.125rem] font-bold" data

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We're the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we're the team that makes sure it feels the same or better. Beyond the foundation, we're building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, and server-side tools. This is where the next generation of the product gets built: the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable. Key responsibilities - Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services - Build state management systems for long-running agent tasks, handling checkpoints, recovery, and resumption across failures - Develop authentication and authorization frameworks for delegated access, so Claude can act on behalf of users securely - Create observability and debugging tools for agent execution, so we understand what Claude did, why, and how to make it better - Partner closely with product and research teams to define what's possible and ship it Minimum qualifications - Experience building distributed systems, infrastructure, or platform services at scale <li class="font-claude-response-body whitespace-normal break-words pl-2" data-sourcepos="22:1-2

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities - Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform - Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production - Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds - Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production - Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have a strong interest in LLM serving; prior inference or ML experience is not required - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Thrive in cross-functional collaborati

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic works to understand what's actually happening inside trained models - and applies our best techniques to keep frontier AI safe as it rapidly improves. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: - Our Research blog - covering advances including Monosemantic Features and Circuits - An Intro to Interpretability from our research lead, Chris Olah - The Urgency of Interpretability from CEO Dario Amodei - Engineering Challenges Scaling Interpretability - directly relevant to this role - 60 Minutes segment - see a demo of tooling our team built - New Yorker article - what it's like to work on one of AI's hardest open problems This role is an early hire on a new infrastructure effort within Interpretability: you'll help define its charter, not just execute it. Interpretability research requires deep access to frontier models while retaining a high degree of research flexibility. Your job is to build the paved path that makes that access secure by default, private by design, and low-friction for every researcher. The work spans four areas: - Security : design the secure-by-default environments and access patterns that enable deep model access for an organization whose research requires it - done well, the same design improves both our security posture and research productivity. - Privacy : build data-access patterns that ensure policy adherence as our research moves from theory into practical application - Data & Compute Management : manage research data at petabyte scale and make efficient use of large accelerator fleets - storage lifecycle, capacity planning, and scheduling. - Developer experience : agentic engineering

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is standing up a founding team to own the server management firmware running across its server fleet. You would be one of the first engineers on it. That means production firmware and manageability features (board bring-up through production) on one side, and hardening that firmware against sophisticated adversaries on the other. Security is a first-class constraint in everything you ship: you'll write firmware to a high security bar and partner closely with our firmware security and hardware engineers on secure boot, signing, and attestation. Key responsibilities Production and manageability: - Design, build, and ship OpenBMC firmware and manageability features for x86 and Arm (including GPU) platforms, from bring-up through production, using Yocto/OpenEmbedded - Build the management stack on DMTF/OCP standards (MCTP, PLDM, SPDM, Redfish, RDE) and IPMI/KCS: sensors, telemetry, inventory, logging, RAS - Implement BMC-to-BIOS/host communications, eSPI/LPC, thermal/fan/power management (PMBus) - Work the hardware/firmware boundary: I2C/I3C, SPI, PCIe, SMBus, device trees, U-Boot, Linux Security and hardening: - Own the BMC security posture: secure and measured boot, root of trust, attestation (SPDM), authenticated update (PLDM FW Update), rollback protection, attack-surface reduction - Lead threat modeling and secure design reviews; run coordinated vulnerability disclosure with vendors and the upstream community - Build verification tooling: static analysis, fuzzing, firmware extraction, CI gating Minimum qualifications - Strong technical cross-functional leadership skills, direction setting - Hands-on OpenBMC/BMC firmware experience on x86 and/or Arm, from bring-up through production with hands-on D-Bus/sdbusplus - Strong C/C++ and Python, deep Linux user-space/kernel fundamentals, and Yocto/OpenEmbedded proficiency - A security mindset applied to firmware, not bolted on afterward - Upstream contributions to OpenBMC, U-Boot, DMTF, or OCP - Working knowledge of out-of-band and in-band management, the relevant DMTF specs, and the device interfaces they run over - Strong debugging and a track record of shipping reliable, well-tested code. - Clear communication across internal teams and external vendors - Ability to work effectively across hardware and software boundaries - Knowledge of NIST firmware security guidelines and hardware security frameworks, specifically SP 800-193 and 800-147/155 Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) - Hardware roots of trust and attestation: Caliptra, OCP S.A.F.E., TPM/HRoT, SPDM - Memory-safe systems code in Rust or Zig - Firmware vulnerability research, re

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities - Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide - Develop resilient, flexible systems that adapt in real time to real world events - Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators - Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads - Build and operate production-grade deployment pipelines for releasing new models to users - Provide high-performance inference infrastructure that enables researchers to develop next-generation models - Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications - Significant software engineering experience, particularly with distributed systems - Results-oriented, with a bias towards flexibility and impact - Willingness to pick up slack, even if it goes outside your job description - Desire to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Preferred qualifications - Experience with high-performance, large-scale distributed systems - Experience implementing and deploying machine learning systems at scale - Experience with load balancing, request routing, or traffic management systems - Familiarity with LLM inference optimization, batching, and caching strategies - Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) - Proficiency in Python or Rust Representative projects - Designing intelligent routing algorithms that optimize request distribution across many accelerators in different enviro

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way. This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about. Key responsibilities - Drive the technical direction for caching infrastructure used across Product and Research - Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem - Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers - Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases - Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments - Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths - Build observability and tooling that makes cache behavior easy to understand and debug - Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work - Make build-vs-buy decisions for caching technologies Minimum qualifications - Significant experience as a software engineer building and operating production distributed systems - Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes - Experience operating Redis, Memcached, or similar in-memory data stores in production - Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale - Track record of leading large, complex infrastructure projects as an engineer or tech lead - Ability to balance moving quickly with the reliability needs of production systems - Strong technical leadership and cross-functional collaboration skills Preferred qualifications - 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams - Experience building managed infrastructure platforms or internal services consumed by many engineering teams - Experience with change data capture (Debezium or similar) or streaming data infrastructure - Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale - Experience designing client libraries or SDKs fo

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Product Manager for Claude Tag, you will bring Claude Tag to where work collaboration happens. Claude Tag is a multiplayer and proactive agent that lives in your collaboration tools. It’s changed how we work at Anthropic: our internal version of Claude Tag writes 65% of merged PRs for our products. Claude Tag is well adopted across roles and is used for data analyses, building prototypes, reviewing legal tickets, handling customer support questions, and 100s of other tasks. We launched Claude Tag on Slack, and we are expanding it to more surfaces. You will make Claude Tag successful on new surfaces, including working with early adopters, customizing the core interaction paradigm for the surface, designing delightful onboarding, and working with external partners. You should be equally comfortable building relationships with top customers to inform the product evolution, debugging a permissions bug or model behavior with engineers, and presenting product strategy to executives. Responsibilities: - Define Claude Tag's core interactions on the surface, tailoring the interaction model to fit the surface. - Own the strategy and roadmap for bringing Claude Tag to new collaboration surfaces beyond Slack - Own the external partnerships that make those surfaces possible, from first conversation through shipped integration - Own adoption from design partners to scaled rollout at the largest companies You might be a good fit if you: - Have a combined 8+ years in product management, or equivalent experience driving product direction - Have shipped platform integrations or ecosystem products, and owned the partner relationship - Have strong instincts for multiplayer and collaborative product design, where the experience is shared and public rather than private - Have a strong grasp of model capabilities and work fluently with engineering teams on technical products. An engineering background is not required - Are energized by ambiguity and bring structure to it rather than waiting for it - Have a creative, hacker spirit and love solving puzzles San Francisco and Seattle only The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude. The attack surface is unlike most AppSec work: multi-agent orchestration, sandboxed code execution, agents holding delegated credentials, untrusted tool output crossing trust boundaries — problems with little prior art and no off-the-shelf playbook. The way the team works is also different. We use Claude as our primary tool across every part of the job: it drives our static analysis, drafts and fixes vulnerabilities as pull requests, performs first-line bug bounty triage, and assists threat modeling for design reviews. The human work is the judgment layer — system-level reasoning, deciding what matters, and building the next thing the model can't do yet. This is a builder's role on a senior team. We hire engineers who ship production systems and clear a hands-on threat-modeling bar — people who can find the vulnerability but would rather build the system that finds them all. Every engineer owns a system end-to-end, and the team's work has shaped customer-facing product security — including Claude Code's security review tooling, its security guidance plugin, sandboxing, and auto mode. Key responsibilities: - Design, build, and operate Claude-powered security systems — LLM-driven code analysis, automated vulnerability remediation, AI-assisted threat modeling — and own one or more of them end-to-end, including the cross-functional relationships that come with it - Lead secure design reviews and threat modeling for novel AI systems, identifying risks that don't map to existing frameworks - Evolve a public bug bounty program where automation handles routine triage and root-cause work, and engineers handle escalations and corner cases - Partner with Product, Infrastructure, and Research teams as an embedded security owner — consulting on launches, shaping architecture, and influencing decisions where security is the constraint - Share an operational on-run rotation with the rest of the team — bounty escalations, incident response, and launch consults on systems serving Claude in production Minimum qualifications: - Hands-on application and infrastructure security experience, including cloud and containerized environments - Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript, with a track record of building durable systems rather than one-off scripts - Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems, even if breaking isn't your primary mode - Demonstrated ability to operate with high autonomy and ambiguity — comfortable being handed a problem and a lot of latitude rather than a spec - Clear technical communication with both engineers and leadership Preferred qualifications: - 7+ years in application security, security engineering, or security-focused software engineering - Already use LLMs as a core part of how you work, with opinions about where they help and where they don't&l

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company. Platform Portability: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments. Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Billing Platform: Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it and account for it correctly, the faster Anthropic can fund the mission. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities - Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption - Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us - Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on - Build and maintain custom controllers, operators, and CRDs - Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities - Collaborate with cloud providers on required features and escalations - Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications - Significant software engineering experience building and operating production distributed systems - Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) - Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters - Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes - A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on - Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications - Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar - Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) - Background scaling control planes or coordina

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: - Our research blog - covering advances including Monosemantic Features and Circuits - An Introduction to Interpretability from our research lead, Chris Olah - The Urgency of Interpretability from CEO Dario Amodei - Engineering Challenges Scaling Interpretability - directly relevant to this role - 60 Minutes segment - Around 8:07, see a demo of tooling our team built - New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: - Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips - Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" - Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: - Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector a

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team , you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary. Strong candidates may also have experience with: - High-performance, large-scale distributed systems - Implementing and deploying machine learning systems at scale - Load balancing, request routing, or traffic management systems - LLM inference optimization, batching, and caching strategies - Kubernetes and cloud infrastructure (AWS, GCP) - Python or Rust You may be a good fit if you: - Have significant software engineering experience, particularly with distributed systems - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Want to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Representative projects across the org: - Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators - Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads - Building production-grade deployment pipelines for releasi

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will own one or two of these areas and contribute to others, with your focus shaped by your strengths and the team's priorities. This is largely greenfield work, and you will help define the architecture. About the role: - Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight - Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them - Mentor engineers across the security team and broader engineering organization, contribute to hiring, and grow security engineering culture at Anthropic - Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team Developer security and supply chain - Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows - Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identity and secrets management - Architect systems that protect sensitive assets including model weights, customer data, and training datasets - Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments Infrastructure security - Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments - Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security - Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation Secure frameworks - Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves - Partner with product, research, infrastructure, and other security teams to ensure framewo

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up. This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet. Key responsibilities - Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) - Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer - Develop measured boot implementations and runtime integrity monitoring - Create reference architectures and security requirements for bare-metal deployments - Integrate security controls with infrastructure teams without impacting training performance - Prototype and validate security mechanisms before production deployment - Conduct firmware vulnerability assessments and penetration testing - Build firmware analysis pipelines for continuous security monitoring - Document security architectures and maintain threat models - Collaborate with software and hardware vendors to ensure security capabilities meet our requirements Minimum qualifications - Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone) - Strong understanding of cryptographic protocols and hardware security modules - Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation - Proficiency in low-level programming (C, Rust, Assembly) and systems programming - Knowledge of firmware vulnerability assessment and threat modeling - Track record of designing security architectures for complex, distributed systems - Experience with supply chain security - Ability to work effectively across hardware and software boundaries - Knowledge of NIST firmware security guidelines and hardware security frameworks Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) - Experience with confidential computing technologies and hardware-based TEEs - Knowledge of SLSA framework and software supply chain security standards - Experience securing large-scale HPC or cloud infrastructure - Contributions to open-source security projects (coreboot, CHIPSEC, etc.) - Background in formal verification or security proof techniques - Experienc

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities - Build automation to support datacenter fleets at scale. - Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). - Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. - Work closely with our Networking team to ensure end-to-end connectivity across all sites. - Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications - Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. - End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. - Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). - Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). - Ability to communicate clearly and build consensus with a wide range of stakeholders. - Comfort navigating ambiguity and making progress on complex, cross-functional problems. Preferred qualifications - 8+ years of experience in datacenter infrastructure management, or a closely related discipline. - Hands-on experience with GPU or AI a

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Safeguards Enforcement team detects and mitigates misuse of Claude, and much of that work depends on people: a growing human review workforce made up of full-time staff, contractors, vendors and BPO partners. As that workforce scales across a widening range of harm areas, the programs that bring people in, give them the right access, and roll them off cleanly have to keep pace. As Program Manager for Safeguards Workforce Operations, you’ll own those programs end to end. You’ll run onboarding, offboarding, device provisioning and access provisioning for every worker type we use, working hands-on with the requests themselves while you build the processes that make them repeatable. You’ll partner with Enforcement leads to turn shifting priorities into capacity plans, and carry those plans through with our vendor partners. Because this role supports every Safeguards Enforcement program, you’ll also connect the dots across Anthropic, working with IT, People Operations, Security, Contingent Workforce, Human Data Operations and other teams running scaled human review to streamline practices and keep standards consistent. This is a role for someone who likes fixing broken things at speed. The landscape moves quickly, priorities change often, and the work is an even mix of direct execution and program building. Key responsibilities - Own the workforce lifecycle for contractor, vendor and BPO reviewers: onboarding, offboarding, device provisioning and access provisioning - Triage and execute inbound requests for new or changing vendor, BPO and contractor capacity - Turn ad hoc or broken processes into scalable ones, with clear owners, service levels and a system of record - Partner with IT and Security on access governance: least-privilege provisioning, timely revocation and regular access reviews - Build and maintain capacity plans with Enforcement leads, translating review demand into workforce needs and adjusting as priorities shift - Work with Safeguards vendor management to hold partners accountable to capacity and onboarding commitments - Align practices with Human Data Operations and other teams running scaled human review, and help them streamline their own workflows - Help define the long-term workforce strategy for Safeguards Enforcement Minimum qualifications - Have personally run onboarding, offboarding, access and device provisioning for contractor, vendor or BPO workforces — doing the work, not only overseeing it - Have operated scaled human review programs with vendors or BPOs, such as trust & safety, content moderation or data annotation operations - Have taken a broken or ad hoc process, made it scalable, and brought other teams along in adopting it - Understand the fundamentals of capacity planning: how volume, handle time, quality targets, ramp and attrition turn into workforce needs - Exercise sound judgment on access and permissions, and know when to bring in IT or Security - Move quickly and stay effective when priorities change and information is incomplete - Build alignment through direct partnership with the teams you depend on Preferred qualifications - Owned a vendor or BPO relationship directly, including service levels and business reviews - Built formal capacity models for review or operations workforces - Supported workforces across more than one enforcement or harm area - Hands-on experience with device management and identity and access tooling - Worked through a period of hypergrowth where programs had to mature alongside the organization The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 - $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Design at Anthropic sits at the intersection of craft, research, and product intuition. Design systems is a growing team working on products that millions of people use daily, and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about the details that make something feel polished, trustworthy and human. We ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. The Design Systems team exists to define and elevate the language of our UI and core interactions. Every Claude product, from claude.ai to Claude Code, shares one system, including the guidance Claude itself follows when it generates UI. You would be joining an early-stage team, working with design engineers and product designers across the company. You may be a good fit if you: - Are as comfortable designing on canvas tools as you are building and prototyping within the product, and prefer to ship in days, not months. - Have worked on design systems that balance simplicity with creative flair to produce beautiful products out of the box. - Care about the smallest details as much as the big picture, from a pixel to how the whole app fits together. - Make the people around you better through sharp, kind feedback and low ego. - Get up to speed quickly and can make an impact on projects already in motion. Key responsibilities - Design and evolve the system, from foundations (colour, type, spacing, icons, tokens, theming) to components like menus, dialogs, sidebars and the chat composer. - Design the expressive layer as a system, not one-offs: motion, illustration and icons that are brand and system at once. - Make the system legible to Claude as well as people: the guidance, metadata and evals that show whether Claude uses it correctly. - Partner with product teams: help designers and engineers apply the system well, and feed recurring gaps back into the system. - Prototype in code and ship: land changes in the design-system package alongside engineers, using Claude Code in your own practice. Minimum qualifications - Strong visual and interaction craft. - Experience building or working on a design system. - Experience with design tokens, theming and accessibility standards. - Fluency in whichever tool gets an idea across fastest, from Figma to code. Preferred qualifications - Experience building products at the highest level of craft. - Has shipped voice or other beyond-the-screen work, with native mobile instincts. - Has designed an icon set, illustration style or motion system used across products. - Experience defining evals, lint rules or automated checks for UI quality. - 8+ years of product design experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for an experienced EU Policy Analyst to build relationships with external stakeholders and develop policy positions within the EU ecosystem in order to drive progress in AI policy and safety. Working as part of the International Policy team, you will help develop policy engagement with the EU institutions, think tanks, academia and other relevant stakeholders. You will collaborate with policy colleagues on a wide variety of projects, from analyzing policy proposals and mapping the policy landscape to drafting submissions for public comment, planning events, and building strategic campaigns that amplify Anthropic's policy presence. This role will be crucial in advancing and supporting Anthropic's mission within the EU, shaping AI governance to balance safety, innovation, and European competitiveness. Key responsibilities - Support policy engagement with the EU Commission, Parliament, relevant agencies and public sector partners on issues related to government policy and regulatory implications for frontier labs - Engage key policy stakeholders (e.g., via briefings, consultations, demos, roundtables), in coordination with the wider EMEA policy team - Analyze policy proposals and map the EU policy landscape to inform Anthropic's positions - Draft submissions for public comment and consultations - Plan events and build strategic campaigns that amplify Anthropic's policy presence - Cultivate relationships with key policy and political partners across the EU AI policy ecosystem - Partner with the EMEA GTM team to support commercial efforts as appropriate Minimum qualifications - In-depth knowledge of the EU's digital regulatory landscape, including deep knowledge of EU AI and data policy - Professional experience working on EU digital policy - Ability to translate complex technical and regulatory topics into accessible, relevant information that drives understanding of the most crucial debates around AI and its impact on society - A track record of effective and creative advocacy with EU governments and regulatory authorities - Experience in event planning and stakeholder management, with strong organizational skills - Strong written and verbal communication, with the ability to identify core priorities within the EU that effectively represent Anthropic's wider values and goals Preferred qualifications - At least 5 years of professional experience working on EU digital policy - Experience within the EU institutions or the Brussels policy ecosystem - Experience drafting and executing complex policy campaigns that move the needle on legislative action - A clear interest in how EU AI and data policy can translate into wider global standards on AI safety and security This role is based in Brussels and sits on the EMEA Policy Team. It requires travel within EMEA (once or twice per quarter) and occasionally to the United States. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is looking for an empathetic engineering manager to lead a team building internal tools that enable and increase productivity for our employees, especially tools for security, authorization and automation. You'll partner closely with internal users to understand needs and set direction for efficient solutions, often augmenting the tools with Claude for a greater experience and impact. On the Business Technology team, we are passionate about delighting and enabling our users through thoughtful and easy-to-use everyday solutions. At Anthropic, we're building towards an ambitious mission of ensuring AI systems are safe and beneficial to humanity. Our team plays a crucial role in this mission by enabling our teams to work efficiently and securely at scale. Responsibilities - Lead and grow a team of engineers building full-stack internal tools for business-critical use cases - Partner with different teams to deeply understand their workflows and identify opportunities for improved productivity through engineering - Set technical direction and prioritize roadmap initiatives that drive the most impact for internal users - Foster a culture of rapid iteration, user feedback, and continuous improvement within the team - Champion best practices in API design, security, and user experience across the team - Monitor system reliability, build for operational excellence, and own incident response processes - Hire, develop, and retain top engineering talent You may be a good fit if you - Have 7+ years of experience in software engineering, with 2+ years in an engineering management role - Have a track record of building and shipping production full-stack software with a focus on usability - Have experience leading teams building and maintaining scalable internal applications and platforms - Demonstrate strong technical judgment across modern web development (React, TypeScript, Node.js, Python, Go) and cloud technologies (AWS/GCP/Azure) - Are skilled at translating ambiguous user needs into clear technical direction and priorities - Communicate with empathy and strive to build strong relationships with stakeholders and direct reports alike Strong candidates may also - Have experience building engineering roadmaps and aligning them with broader business objectives - Bring a track record of developing engineers through coaching, mentoring, and structured feedback - Have experience balancing trade-offs across security, privacy, reliability, and user experience at scale - Have experience with Identity and Access Management tools and security best practices - Excel at cross-functional collaboration and building alignment across teams with differing priorities - Have experience anticipating changing business needs and translating them into adaptive technical strategies The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them. This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: - Own deployment outcomes for your assigned sites and data-hall waves: CUs and hall ready-for-service dates met, with exceptions closed out, or risk called early enough for leadership to act. - Engage from construction kickoff and confirm deployment readiness ahead of each wave - floor access, power, network, receiving paths, and partner staffing - working the gaps with the site operations partner and facilities counterparts before racks arrive. - Be on site at key points before and during delivery, deployment, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. - Work with partner's site leadership to ensure success through rack delivery and receiving, integration QA, power-on and network turn-up, and burn-in and validation, setting daily priorities and quality gates and confirming results against Anthropic-owned ticket and telemetry data. - Validate the handover gate for each CU and data hall: acceptance criteria met, burn-in complete, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the maintenance program. - Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements: procedures, checklists, acceptance standards, and metrics, so the next wave runs faster and cleaner than the last. - Extend the deployment program to new sites and platforms, adapting standards and acceptance criteria as the hardware changes. - Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, the team that owns the overall site schedule, and leadership. You may be a good fit if you: - Have 8+ years of experience in data center operations or hardware deployment as a manager, technical lead or related role, including accountability for delivery milestones. - Can demonstrate a proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves, from early floor access through ready for service. - Have managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, quality gates, operational reviews, and corrective action. - Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify deployment quality and audit vendor claims. - Have built or substantially improved operational processes. - Are comfortable working with schedule, ticket, and telemetry data to drive decisions. - Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% Travel expected. - Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: - Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including bring-up of liquid-cooled racks. - Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. - Experience deploying more than one accelerator platform, or introducing a new hardware platform into an existing deployment program. - Experience delivering deployment outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. - Familiarity with dense accelerator network cabling, optics, and high-speed interconnect at rack and pod scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Frontier AI runs on datacenters, and the world is in the middle of the largest infrastructure buildout in a generation. The binding constraint on progress is increasingly everything around the chips: land, power, permits, equipment, and the design and construction of the buildings themselves. Bringing a single site online involves hundreds of people, thousands of components, and decisions that move enormous amounts of capital. Much of that work still runs on spreadsheets and handoffs. At Anthropic, we're building software and Claude-powered tools to help Anthropic scale out its compute, and we think there's an enormous opportunity to rethink how that work gets done. It's early, it's already having a real impact, and the engineers who join now will shape how one of the most consequential buildouts in the world gets done. We're looking for strong, versatile software engineers who love building for people doing real work in the physical world. You'll embed with the teams that source sites, design buildings, procure equipment, and manage construction, learn their work deeply, and build the tools and systems they rely on every day. Datacenter experience is a big plus, but what matters most is that you can earn the trust of expert operators, model a messy domain cleanly, and move fast. Responsibilities - Build the core systems that track a datacenter's lifecycle (sites, designs, bills of materials, equipment, and construction progress) in one trusted, permissioned source of truth - Embed with datacenter, energy, and supply chain teams to understand how the work actually gets done, find the critical path, and build the tools they reach for first - Bring order to messy data by migrating and reconciling spreadsheets and legacy trackers, and integrate with the industry's tools, like construction management, scheduling, and engineering systems - Design for trust: fine-grained permissions, auditability, and data quality for information that steers major investment decisions - Ship early, iterate with users, and cut anything that doesn't help bring compute online sooner - Partner with research to understand new model capabilities and share where they fall short in engineering-heavy, physical-world domains You may be a good fit if you - Have 8+ years of experience building software, with strong full-stack skills and solid grounding in data modeling, APIs, and databases - Have built software that teams in a physical-world industry depend on, such as datacenters, construction, energy, manufacturing, supply chain, or logistics - Have a track record of zero-to-one work in startup or startup-like environments - Are deeply user-centric: you learn the domain from the people doing the work and validate with them before over-investing - Bring high agency and good judgment about what matters, and hold strong opinions loosely - Communicate clearly across engineering, operations, and research, and care about the societal impacts of your work Strong candidates may also have - Experience in datacenters (at a hyperscaler, colocation provider, operator, utility, or engineering firm), or in adjacent fields like construction, logistics, or legal - Experience with the domain's tooling, such as construction management (Procore, Autodesk Construction Cloud), scheduling (Primavera P6), PLM/BOM, ERP and procurement, CAD/BIM, DCIM, or power system studies - A background in electrical, mechanical, or civil engineering, energy systems, or supply chain alongside a software career - Experience building products with large language models Candidates need not have - 100% of the skills listed above - Formal certifications or education credentials - Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again. The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in EMEA. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done. Key responsibilities: - Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend. - Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list. - Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution. - Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk. - Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it. - Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you. - Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop. - Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning. - Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership. - Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours. - Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts. - Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory. - Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on. Minimum qualifications: - Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role. - Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours. - Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it. - Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk. - Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution. - A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one. - Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it. - Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question. - Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable. Preferred qualifications: - 5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business. - Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run. - Experience running at-risk or red account reviews and turning stalled work around. - Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them. - Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers. - Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not. - Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial. - Experience on a new team where the operating model was being written while you ran the book, and you shipped both. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £215,000 - £250,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the GTM Enablement Trainer, Claude Products, you'll teach Anthropic's global field organization how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two halves. The first is enabling our own people to be power users of Claude, so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer. The best person in this role sees around corners. You won't wait for a launch to be announced before you start building enablement for it. You'll be embedded enough with Product and Applied AI to know what's coming, and opinionated enough to say which surfaces need real enablement investment and which don't. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. You should also find more energy in enabling people to use what we build than in building it yourself. Key responsibilities: - Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead - Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work - Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing - Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field - Anticipate which new product surfaces will require significant enablement investment, and make the case for that investment before launch - Build and maintain the product certification path that credentials sellers on our core products - Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material - Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing Minimum qualifications: - Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management - Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows - Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers - Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula - Experience writing and presenting technical material for audiences with very different levels of technical depth Preferred qualifications - Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling - Experience owning launch readiness for a technical product across a global field organization - Prior experience as a solutions engineer or sales engineer carrying a technical win - Experience building technical certification programs - A track record of shipping enablement content that the field actually uses - Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it - Experience building programs from 0 to 1 in fast-paced, ambiguous environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers and (nascent) industry norms (which we also seek to influence). The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet. The compliance team assures regulators and customers that those expectations are met by earning security credentials and responding to direct inquiry about Anthropics security program from auditors, customers and partners. This opportunity is unique, as we work to secure today’s most novel and valuable asset types, we must build a new kind of compliance program, assuring the safety of artificial intelligence capabilities. Key responsibilities - Understand how Anthropic's security and privacy capabilities across major cloud platforms implement common frameworks (e.g., NIST 800-53, NIST 800-171, ISO 27001, ISO 27701, CSA CCM, and SOC 2). - Build scalable data center and hyperscaler processes and documentation systems that will support future expansion to additional geographies and compliance frameworks. - Assess and mitigate security and operational risks, implementing corrective actions, and managing vendor compliance. - Coordinate engagements with independent assessors to earn security and privacy certifications and attestations important to Anthropic customers and enterprise partnerships, and to meet regulatory obligations. - Write, update and enact policies capturing security, privacy, and AI safety requirements. - Maintain and enhance Anthropic's system of security controls through audit readiness, recordkeeping, and cross-functional communication. Minimum qualifications - Have 8+ years of progressive experience in audit and compliance roles, with direct ownership of certification/attestation or security compliance implementation projects - Have worked in cloud-native environments and understand security and privacy considerations for multi-cloud and hybrid architectures - Can translate complex compliance requirements into actionable workstreams for technical and non-technical stakeholders - Have integrated with common controls frameworks or GRC systems that scaled with organizational growth - Write clear and useful security and privacy documentation for both external and internal audiences. - Thrive in ambiguous, fast-paced environments where you'll need to build processes from scratch - Are comfortable organizing time-bounded task management of delegated work streams across a diverse organization - Are energized by being the subject matter expert who educates the organization on new compliance requirements and auditors on current security practices Preferred qualifications - Have worked in AI/ML companies and understand unique security considerations for model development and deployment - Have worked with cloud companies and understand cloud security controls and physical security requirements - Bring experience from high-growth technology companies managing rapid compliance expansion - Have some experience implementing automated enforcement of security controls (i.e., compliance as code) - Possess relevant certifications (CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Auditor/Implementer) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Business Technology Engineering team builds the systems the company runs on. We own the internal platforms every employee uses and our collaboration tooling, and we embed engineers directly with Legal, Security, Communications, Product Operations and other business functions to rebuild how their work gets done with Claude at the center. Our mandate is to make Anthropic the best-run company in the world at using its own models internally, and to be the example our customers point to. We are hiring an engineering leader to run this org. You will lead a growing engineering organization across two tracks: Platforms , which builds and operates the shared systems the company depends on, and Forward Deployed , which drops into a business function, proves Claude wins on a real workflow, hands off, and moves on. You will partner on defining the roadmap, build relationships with functional leaders, grow the team, and shape what forward deployed engineering looks like inside a frontier AI lab. You'll report to the Head of Business Technology and IT, within the Security organization, and you’ll make up the full Business Technology function along with a team of Business Systems Analysts and Product Managers. Together, BizTech partners closely with IT Engineering on corporate systems and endpoints; with Security Engineering on data handling and permissions for agentic workflows; with Labs and Product on dogfooding and the internal builds that become external patterns; with GTM, who point Enterprise customers at this team as the reference for how Anthropic runs internally; and with the leaders of Legal, Workplace, Communications, Product Operations and Product Support, who are your customers. Responsibilities - Lead and scale a global org of engineers; hire, level and develop the leads under you. - Partner, develop, and execute a year-plus roadmap for how Anthropic's business functions work with Claude, and the success metrics that go with it. - Run the Platforms track: reliability, velocity and scale of Claude Support and the platform layer that every employee depends on. - Run the Forward Deployed track: engagement portfolio, prioritization across functions, handoffs to durable owners, and adoption that actually moves. - Be the technical executive partner to the leaders of Legal, Workplace, Comms, Product Ops and Product Support; make the case for ambitious deployment and for the boundaries on it in the same conversation. - Partner with Labs and Product on dogfooding: feed load-bearing signal back ("here is the eval that shows the gap") and ship internal builds that become external product patterns. - Represent how Anthropic runs internally to Enterprise customers alongside GTM. - Set the engineering bar: production-adjacent builds, eval rigor, reusable patterns, responsible internal deployment with real data and real permissions. You may be a good fit if you - Have 12+ years in software engineering and 6+ years leading engineers, including at least 3 years managing managers and at least one org of 20+ across multiple domains that you structured yourself - Have run internal-tools, business-systems or platform engineering at a company that added functions faster than it added engineers, and can speak to reliability outcomes on the platform side and adoption outcomes on the embedded side - Lead through technical judgment: whether or not you've been hands-on lately, you can go from an agent architecture to its eval design to its failure modes with your engineers, and your reviews make their builds better - Can walk a General Counsel, a Head of Workplace or a room of senior engineers with strong opinions through a trade-off, make a recommendation, and bring them to a decision they'll commit to - Can hold a high bar on craft while saying no to low-leverage work, and explain the no to the person who asked. - Want real ownership of how a frontier AI lab runs itself on its own models, and care about doing that responsibly — real data, real permissions, real people on the other end Strong candidates may also have - Forward deployed, software engineering or applied AI leadership experience with external customers. - Product management experience or a track record partnering closely with PMs and analysts. - Experience with corporate systems (Salesforce, Workday, Google Workspace, Slack) at platform scale. - Have built the career rubric or leveling framework for a new kind of engineering role, or stood up a forward deployed function from zero Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP. We're seeking versatile, entrepreneurial engineers to join Labs. In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory. Responsibilities - Rapidly prototype full-stack applications that showcase emerging AI capabilities, shipping early and often to maximize learning - Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user experiences - Work directly with internal test users and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts - Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation - Generate documentation and insights to guide successful prototypes toward full product teams - Advocate for user experience and product considerations early in the research process - Provide feedback to research teams about model effectiveness and where capabilities can be improved - Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities—context from one project should inform the next You may be a good fit if you - Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments - Thrive in ambiguity and are energized (not anxious) by uncertainty—you're comfortable working on projects that might not exist in three months - Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff - Are deeply user-centric—you validate ideas with actual users before over-investing and talk about problems before solutions - Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments - Hold strong opinions loosely—you advocate forcefully for ideas but change your mind based on evidence - Are a generalist who can transition between different problem spaces as priorities shift - Work independently with good judgment about what matters, without needing constant direction - Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.) and are comfortable with APIs, databases, and cloud technologies - Communicate effectively and translate complex AI capabilities into intuitive experiences - Care about the societal impacts and ethics of your work Strong candidates may also have - Experience building products that involve AI/ML components or working with large language models - Experience collaborating directly with research teams in AI/ML environments - Background conducting user research, interviews, and usability testing - Experience across both B2B and B2C product development, or in multiple industries - Design sensibility or hands-on experience with UI/UX for AI-powered applications - Experience with real-time applications, WebSocket implementations, or complex frontend interactions What we're not looking for at this stage - Deep specialists who can't adapt if their domain becomes irrelevant - Engineers who've only succeeded in big-company structures with well-defined processes and long timelines - People who are precious about their work or frame all past projects as successes - Those who need clear roadmaps and get stressed by shifting priorities Candidates need not have - 100% of the skills listed above - Formal certifications or education credentials - Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for an Engineering Manager to lead and scale our Data Warehouse & Streaming Infra team. You'll own the data platform that Anthropic runs on: the foundation every team relies on to understand the business, make decisions, and keep our systems safe. Every org is your customer. As data volumes grow rapidly, and more of it arrives as real-time streams across multiple clouds, you'll help your team make that stack faster, more robust, and ready for what's next, and you'll shape the long-term vision for how data flows through one of the fastest-growing companies ever. This is a high-visibility, high-impact role that calls for both deep technical judgment and strong people skills. You'll partner with leaders across finance, data science, product, engineering, and research to uncover and meet their needs, and you'll grow a small, strong core into a large team. We're looking for someone who is comfortable with ambiguity, energized by both business and technical impact, and cares deeply about people. Responsibilities - Lead, grow, and mentor the Data Warehouse & Streaming Infra team, fostering a culture of ownership, collaboration, engineering excellence, and execution at speed - Own Anthropic's data warehousing, streaming, and processing capabilities end-to-end: "wow" user experience, ops, reliability/security/governance/cost, long-term strategic vision - Support the team to scale and evolve our data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems at pace with business growth - Collaborate to define and execute the roadmap for Anthropic's batch and streaming data infrastructure, balancing immediate business needs with durable, scalable design - Lead key platform decisions for the streaming backbone, such as managed versus self-operated Kafka, grounded in clear models of throughput, cost, and operational burden - Partner closely across Finance, Product, Research, and Engineering to ensure data systems directly support business-critical decisions and company growth - Drive hiring for the team — sourcing, evaluating, and closing senior data infrastructure engineers who thrive in high-growth, high-trust environments - Establish data quality standards, freshness and delivery SLAs, and operational processes that guide engineers and users through our high-change environment - Ensure sound infrastructure investment decisions with clear awareness of cost, capacity, reliability, and long-term maintainability tradeoffs - Align the broader Infrastructure org on a common direction for shared platforms, tooling, and best practices across Anthropic's data stack You may be a good fit if you - Have 3+ years of engineering management experience, with a track record of building and leading high-performing data infrastructure teams - Are a people-first leader who gives direct feedback, grows engineers' careers, and builds trust with technical and non-technical partners alike, while staying steady and principled as priorities shift, knowing when to move fast and when to do it right - Bring deep, hands-on expertise in both batch and streaming data infrastructure, from warehousing, pipelines, and orchestration to event streaming and change data capture, including the fundamentals of distributed log systems such as partitioning, delivery guarantees, and backpressure - Have owned systems with significant business or financial impact, and shipped at speed while improving reliability, scalability, security, and cost - Excel at hiring — you've built teams from small to large, and have sharp instincts for identifying exceptional talent Strong candidates may also have experience with - Warehouse and batch technologies such as BigQuery, Snowflake, Iceberg, Spark, dbt, or Airflow - Streaming and change data capture technologies such as Kafka, Pub/Sub, Flink, or Debezium, ideally including running them at high scale - Multi-cloud (GCP, AWS, Azure) or multi-region data platforms, including data-residency requirements - Data infrastructure at AI or ML-intensive companies: you've served customer teams that build pipelines for financial/billing data, model training, evaluation, or safety workflows - Building and operating observability or monitoring for data systems at scale - Working in high-growth environments where data infrastructure had to evolve rapidly to keep pace with the business The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Frontier research runs on more than research alone. Behind every model launch, review, and cross-team program is a web of decisions, priorities, and follow-through that keeps hundreds of researchers moving in the same direction. Research Operations owns that work: we bring clarity to ambiguity, provide stability during change, and continually deepen our domain knowledge so that researchers can spend their time on the problems only they can solve. It is one of the highest-leverage functions at Anthropic. We are hiring an experienced operator to embed with the leadership of our reinforcement learning (RL) organization, the team responsible for training Claude to be more capable, more reliable, and more aligned. You will shape what leadership spends its time on, make sure priority decisions reach the right decision-makers and get made quickly, and clear the path so leaders can focus on the work that matters most. You will report to the Manager of Research Operations and work daily with RL org leaders and their teams. Key responsibilities - Own leadership's time. Shape the week around the leaders' specific, most timely priorities, set agendas so meetings are spent on decisions that move the org forward, and cut what isn't critical so leaders stay focused on the areas that are highest-leverage for them. - Triage what reaches leadership. Resolve what you can, route what belongs elsewhere, and thoughtfully escalate the rest. - Enable wise decision-making and follow through. Give leaders what they need to decide quickly, communicate those decisions to collaborators, and track commitments through to completion. - See problems coming. Surface resourcing gaps, technical bottlenecks, and stalled action-items before they become blockers. - Scale leadership voice. Meetings are ephemeral; docs are forever. Draft materials for org-wide announcements, programming, and planning sessions. Protect leadership’s time for creating durable comms that set direction in turbulent times. - Make the org run better. Find the friction that keeps recurring and find the people who can fix the process behind it. - Be a thought partner. Offer honest, candid counsel to leaders, including crisp and kind disagreement. Minimum qualifications - Care deeply about Anthropic's mission and let it underpin all judgment calls you make across the org. - Technical fluency to engage substantively with researchers: you can follow a discussion about an RL training run, read a set of eval results and form reasonable hypotheses about what they mean, and hold your own in a technical conversation. You don't need to have trained a model yourself, but you should understand the model training process and have the depth to work closely with leading researchers. - Clear writing: you turn dense, jargon-heavy material into summaries and plans that technical collaborators across the RL org and beyond can act on - An eye for great dashboards: you can look at data visualizations and scope improvements that make lessons at-a-glance clearer and grounded. - Strong follow-through and attention to detail; nothing falls through the cracks on your watch. - Ability to push back on senior stakeholders to offer strategic guidance as needed, disagree without causing discord, and influence without direct authority. - Comfort with ambiguity and a fast-changing environment; you stay steady when the pace is relentless and the stakes are as high as they can possibly be. - Experience in an operations, chief of staff, program management, or comparable role supporting senior leaders in a fast-moving technical organization - High integrity. This role sits close to decisions that execute on Anthropic’s mission, and you care about getting them right. Preferred qualifications - Experience supporting a senior leader directly in a chief of staff or related function - Time in a research institution, lab, or other research-heavy organization - Track record of anticipating what colleagues and leaders will need and acting on it before being asked - Comfort in an environment where the right answer changes hour to hour - Experience moving routine operational work to AI agents, or the ability to script and build small tools - Familiarity with AI safety or other existential risks. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $210,000 - $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic's Commercial Legal team as a Technical AI implementation specialist, where you'll be responsible for leveraging Claude and other technologies to scale and increase efficiency of legal operations. You'll drive AI adoption across team workflows, optimize internal tooling, and lead cross-functional initiatives to enhance productivity. This role offers the unique opportunity to shape the future of legal operations through technology while working with Claude and other business critical systems. Key responsibilities - Implement AI-powered solutions to streamline contract review and redlining processes - Manage integrations between existing legal systems and AI tools - Develop automated self-service solutions for high-volume, low-touch contracting processes, including FAQ chatbots and guided workflows - Create AI-based tools for handling commercial contract diligence requests - Optimize contract management platforms with AI capabilities - Create and manage comprehensive program plans, including timelines, budgets, and resource allocation, to guide project execution - Build and maintain metrics dashboards to track efficiency improvements - Establish practical governance processes for AI use in legal operations - Coordinate with Engineering and Product teams on solution development - Identify and mitigate potential risks and issues that could affect program success, ensuring proactive problem-solving Minimum qualifications - Experience evaluating and implementing legal technology platforms such as contract management systems, workflow management systems, or document management tools - Show genuine curiosity about AI/ML applications and hands-on experience with LLM tools (especially Claude!) - Possess excellent problem-solving skills and can translate legal business needs into scalable technical solutions - Excel at cross-functional collaboration and can communicate effectively with both technical and legal stakeholders - Self-directed and can manage multiple technical projects simultaneously Preferred qualifications - At least 5 years of relevant experience in legal operations, legal technology, or technical roles supporting legal teams - Technical aptitude with system integration knowledge - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excellent verbal and written communication, analytical, collaboration, and interpersonal skills - Proven project management skills, including the ability to prioritize tasks, meet deadlines, manage multiple projects simultaneously, and deliver quality results - Collaborative team player mindset with genuine interest in technology development and AI, thriving in fast-paced environments Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $170,000 - $220,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. We own an integrated set of tools enabling Anthropic to ask open-ended questions, surface unexpected patterns, and maintain meaningful human oversight over massive datasets. Our tools are widely adopted internally — powering ongoing enforcement , threat intelligence investigations , model audits , and more — and we're looking for an experienced engineering manager to help us both scale up existing applications and go zero-to-one on new ones. About the Role As an Engineering Manager for the team, you'll lead research engineers who design and build systems that let AI analyze large, unstructured datasets — think tens or hundreds of thousands of conversations or documents — and produce structured, trustworthy insights. The team works across the full stack, from core analysis frameworks through user-facing apps and interfaces. This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment. Responsibilities: - Lead the design and implementation of AI-based monitoring systems for AI training and deployment - Extend and improve core frameworks for processing large volumes of unstructured text - Partner with researchers and safety teams across Anthropic to understand their analytical needs, and prioritize the team's work to build solutions - Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings - Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest - Coach and support your reports to understand and pursue their professional growth - Run the team's recruiting efforts, ensuring we can grow as quickly as we need - Design processes that help the team operate effectively You May Be a Good Fit If You: - Are an experienced manager (at least 2 years) and actively enjoy people management - Have 5+ years of software engineering experience, with meaningful exposure to ML systems - Are excited about the problem of scaling human oversight of AI systems - Are familiar with LLM application development (context engineering, evaluation, orchestration) - Enjoy building tools that other people use — you care about UX, reliability, and documentation - Can context-switch between deep infrastructure work and user-facing product thinking - Thrive in collaborative, cross-functional environments Strong Candidates May Also Have: - Research experience in AI safety, alignment, or responsible deployment - Strong people management experience: coaching, performance evaluation, mentorship, career development - Experience recruiting for your team: predicting staffing needs, designing interview loops, evaluating candidates, and closing them - Practical experience with both data science and engineering, including developing and using large-scale data processing frameworks - Experience with productionizing internal tools or building developer-facing platforms - Background in building monitoring or observability systems - Comfort with ambiguity — our team is small and growing, and you'll help define what we become The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Anthropic's Public Sector Sales Lead for France, you will be the face of Anthropic to the French State. This is a founding, zero-to-one role: there is no public sector team in France today, and you will build our strategy, our routes to market and our first strategic relationships from the ground up. Reporting to our EMEA South leadership, you will lead the adoption of safe, frontier AI across central government, starting with the largest ministries. You will work hand in hand with our Public Policy lead in Paris, because in few companies is policy as central to the mission as it is at Anthropic, and with Partnerships, Legal, Security and Product to put in place the commercial and compliance frameworks the State needs in order to work with us at scale. This is a senior individual contributor role. We expect you to have run a public sector business and led teams, and to be energised by stepping back into a hands-on seat where you build it yourself and where the size of your team says nothing about the size of your scope. In the first year, success is measured less by a large number and more by putting Anthropic on the map with the French State: a clear strategy, the right foundations and our first strategic agreements. Responsibilities - Define and own Anthropic's public sector go-to-market strategy for France: where we play first, how we win, and what we need to build to get there - Be the senior face of Anthropic to the French State, building trusted relationships with ministerial cabinets, senior officials and digital and technology leaders across the largest ministries, including defence, finance and justice - Own the full sales cycle on our first strategic public sector opportunities, from first engagement through procurement route, close, deployment and expansion - Work with Partnerships, Legal and Finance to put in place the routes to market the State needs, including resale and partner channels, framework agreements and central purchasing bodies such as UGAP - Partner day to day with our Public Policy lead in France so that commercial and policy engagement reinforce each other, and stay aligned with French and European AI strategy and regulation - Lead the conversation with customers on data sovereignty, security and compliance (for example SecNumCloud and the State's cloud doctrine), and work with Security, Legal and Product on how we meet those requirements - Prove value with customers alongside a shared Applied AI architect, cloud providers and systems integrators, doing much of the groundwork yourself in the early stages - Learn from and contribute to our UK and US public sector teams, bringing what works to France and sharing what you learn - Create the playbooks, references and operating rhythm that will let us scale a public sector team in France over time You may be a good fit if you have - 15+ years in enterprise technology sales, including significant time running a public sector business unit or leading sales teams that sell to French central government - The appetite to move from a leadership role into a hands-on senior individual contributor role with no team at the outset - Evidence that you thrive building from zero: a new market, a new business line or an early-stage company, where systems, processes and support were not yet in place - A track record of landing large, complex and genuinely transformative agreements with major ministries, as the person leading the deal - A deep, senior network across central government, and the credibility to engage at director and cabinet level as well as with technical teams - Practical command of French public procurement, including tenders, framework agreements, central purchasing bodies and partner or resale routes - Real expertise in data sovereignty, security and compliance requirements in the French State, and experience leading those conversations with customers - Experience of, or a clear aptitude for, working closely with public policy or government affairs colleagues - Ownership and resilience: you treat what is missing as something to build, and you bring colleagues with you to build it - The technical curiosity to learn our products in depth and hold credible conversations with both engineering leaders and senior officials - Fluent French and English, with excellent written and spoken communication in both - Willingness to go through French security clearance (habilitation) should specific accounts require it - A genuine commitment to safe and beneficial AI, and the ability to articulate why it matters for public institutions À propos du poste En tant que Responsable des ventes secteur public d'Anthropic pour la France, vous incarnerez Anthropic auprès de l'État français. Il s'agit d'un poste fondateur, à construire de zéro : il n'existe aujourd'hui aucune équipe secteur public en France, et vous bâtirez notre stratégie, nos voies d'accès au marché et nos premières relations stratégiques en partant d'une page blanche. Ce poste est rattaché à la direction EMEA Sud. Vous piloterez l'adoption d'une IA de pointe et sûre au sein de l'administration centrale, en commençant par les plus grands ministères. Vous travaillerez main dans la main avec notre responsable des affaires publiques à Paris — dans peu d'entreprises les politiques publiques sont aussi centrales à la mission que chez Anthropic — ainsi qu'avec les équipes Partenariats, Juridique, Sécurité et Produit, afin de mettre en place les cadres commerciaux et de conformité dont l'État a besoin pour travailler avec nous à grande échelle. Il s'agit d'un poste senior de contribution individuelle. Nous attendons de vous que vous ayez dirigé une activité secteur public et encadré des équipes, et que la perspective de revenir à un poste pleinement opérationnel vous enthousiasme : un poste où vous construisez vous-même, et où la taille de votre équipe ne dit rien de l'étendue de votre périmètre. La première année, la réussite se mesurera moins à un grand chiffre qu'à votre capacité à installer Anthropic auprès de l'État français : une stratégie claire, les bonnes fondations et nos premiers accords stratégiques. Responsabilités - Définir et porter la stratégie de mise sur le marché d'Anthropic pour le secteur public en France : nos premiers terrains d'action, nos leviers de succès et ce qu'il nous faut construire pour y parvenir - Incarner Anthropic au plus haut niveau auprès de l'État français, en nouant des relations de confiance avec les cabinets ministériels, les cadres dirigeants de l'administration et les responsables du numérique et de la technologie des plus grands ministères, dont la défense, les finances et la justice - Piloter l'intégralité du cycle de vente sur nos premières opportunités stratégiques dans le secteur public, du premier contact au choix de la voie de passation, jusqu'à la signature, au déploiement et à l'extension - Travailler avec les équipes Partenariats, Juridique et Finance pour mettre en place les voies d'accès au marché dont l'État a besoin : canaux de revente et de partenariat, accords-cadres et centrales d'achat telles que l'UGAP - Collaborer au quotidien avec notre responsable des affaires publiques en France, pour que les démarches commerciales et politiques se renforcent mutuellement, en cohérence avec la stratégie et la réglementation française et européenne en matière d'IA - Mener les échanges clients sur la souveraineté des données, la sécurité et la conformité (par exemple SecNumCloud et la doctrine « cloud au centre »), et travailler avec les équipes Sécurité, Juridique et Produit sur la façon dont nous répondons à ces exigences - Démontrer la valeur auprès des clients en vous appuyant sur une expertise d'architecture Applied AI mutualisée, sur les fournisseurs cloud et sur les intégrateurs, en réalisant vous-même une grande part du travail de terrain dans les premiers temps - Apprendre de nos équipes secteur public au Royaume-Uni et aux États-Unis et contribuer à leur travail, en important en France ce qui fonctionne et en partageant vos enseignements - Créer les playbooks, les références clients et le rythme opérationnel qui nous permettront de faire grandir une équipe secteur public en France Ce poste peut vous correspondre si vous réunissez - Plus de 15 ans dans la vente de technologies aux grandes organisations, dont une période significative à la tête d'une activité secteur public ou à l'encadrement d'équipes commerciales à destination de l'administration centrale française - L'envie de passer d'un poste d'encadrement à un poste senior pleinement opérationnel, en contribution individuelle et sans équipe au départ - Un parcours qui montre que vous vous épanouissez en construisant à partir de zéro : un nouveau marché, une nouvelle ligne d'activité ou une entreprise à ses débuts, là où les systèmes, les processus et les soutiens n'existaient pas encore - Des accords majeurs, complexes et réellement transformateurs conclus avec de grands ministères à votre actif, en étant la personne à la tête de la négociation - Un réseau dense et de haut niveau au sein de l'administration centrale, et la crédibilité nécessaire pour échanger au niveau des directions et des cabinets comme avec les équipes techniques - Une maîtrise concrète de la commande publique française : appels d'offres, accords-cadres, centrales d'achat et voies de partenariat ou de revente - Une véritable expertise des exigences de souveraineté des données, de sécurité et de conformité au sein de l'État français, et l'expérience de ces échanges avec les clients - L'expérience — ou une aptitude manifeste — du travail en étroite collaboration avec les équipes affaires publiques ou relations institutionnelles - Le sens de la responsabilité et la ténacité : ce qui manque est pour vous quelque chose à construire, et vous embarquez vos collègues dans cette construction - La curiosité technique nécessaire pour apprendre nos produits en profondeur et tenir des échanges crédibles aussi bien avec les responsables d'ingénierie qu'avec les responsables publics de haut niveau - Un français et un anglais courants, avec une excellente expression écrite et orale dans les deux langues - La disponibilité pour engager une procédure d'habilitation de sécurité si certains comptes l'exigent - Un engagement sincère en faveur d'une IA sûre et bénéfique, et la capacité d'expliquer pourquoi cela compte pour les institutions publiques The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €310.000 - €380.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal team is looking for an experienced litigator to join our Litigation and Regulatory team. You'll manage a broad docket of litigation files and pre-litigation disputes with a high degree of autonomy, advise the business on litigation risk, and help build the systems and processes that let a growing litigation function operate well at scale. The matters you'll handle span intellectual property (particularly copyright), class actions, commercial disputes, and could include securities and shareholder disputes, in both first-party and third-party matters, in the U.S. and abroad. You'll partner closely with colleagues across Legal and teams throughout the company to resolve matters thoughtfully and with minimal disruption to the business. You may also support regulatory investigations and inquiries as needed. Key responsibilities - Manage a broad range of litigation matters that could include intellectual property (particularly copyright) matters, class actions, regulatory and commercial disputes, and securities cases - Direct outside counsel across all stages of litigation, from pre-suit response through discovery, dispositive briefing, trial or resolution and appeal, with a focus on strategic decision-making and filing excellent legal briefs - Manage small disputes and escalations to limit business friction and minimize risk - Advise company leadership and cross-functional partners on litigation risk, and develop appropriate strategic litigation plans, including matter-resolution proposals - Design and implement processes, policies, and tools that help the litigation and regulatory team handle matters efficiently and at scale, such as matter intake, outside counsel budgeting, contingency reporting, and pre-litigation escalation run books - Work cross-functionally to gather information efficiently and evaluate risk - Support responses to regulatory investigations and inquiries as needed - Stay up to date on relevant laws, litigation trends, and AI-related case law, and share developments with key stakeholders - Mentor and develop team members through hands-on work on active matters Minimum qualifications - Hold a JD and are an active member of at least one U.S. state bar (California preferred) - Have litigated some combination of copyright, class action, securities, and regulatory matters - Have broad experience handling complex civil litigation, with deep knowledge of litigation practice and procedure, discovery, and federal and/or CA state court rules - Have managed litigation matters with significant independence, including setting case strategy, managing discovery, writing and improving legal briefs, and directing outside counsel - Write and communicate clearly, with the ability to explain litigation risk and strategy, particularly for non-legal audiences at all levels of seniority - Exhibit poise and judgment under pressure while balancing legal risk with business priorities Preferred qualifications - At least 12 years of litigation experience with a combination of experience at a global-focused law firm and in-house - Experience representing technology companies, particularly companies working in emerging technologies - Experience building systems, processes, or tools for an in-house legal team, such as matter management, outside counsel budgeting, or litigation reporting - Experience managing regulatory responses or investigations, including both first-party and third-party responses - Creativity and openness to novel solutions when advancing business priorities while addressing legal risk - Ability to think and work quickly, have a flexible risk tolerance, and a good sense of humor - Low ego and a real willingness to roll up your sleeves to solve problems whether mundane or complex - A thoughtful and empathetic colleague who works well with legal colleagues, outside counsel, and business partners - A genuine interest in the development of AI that is both innovative and trustworthy, including the opportunities it creates and the risks and limitations that must be addressed Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Manager, IT SOX to join the Internal Audit team at Anthropic. In this role, you will be a hands-on technical contributor and key executor of our IT SOX compliance program, with deep focus on our IT General Controls, IT Application Controls, and system risk assessments. This role reports to the Head of IT SOX and is well-suited for someone who is comfortable with ambiguity, thrives in a high-pace environment, and enjoys solving problems that don't yet have industry-standard answers. This is a high-impact opportunity to collaborate with first and second lines of defense to help establish a control environment suitable for an AI-first company! You will act as a trusted advisor to Engineering, GRC, Security and Finance teams on the technology controls adapted to a fast growing and rapidly changing organization. You'll bring technical depth, a bias toward automation, and the ability to partner effectively with both technical teams and external auditors as the organization experiences scaling to public-company standards. Key responsibilities - Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models - Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls - Assess new system implementations and changes - Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities - Assist in scoping and planning for annual SOX IT assessments - Execute IT SOX testing across IT General Controls and IT Application Controls, including access management, change management, and computer operations - Perform system and process risk assessments to identify control gaps and recommend remediation - Own control documentation and ensure audit-ready evidence is current and complete - Evaluate IT automated controls and support the shift from manual to automated control reliance - Scale the IT SOX program as the company grows — rationalizing scope, standardizing testing approaches, and building repeatable processes that keep pace with new systems and entities - Guide and direct the day-to-day work of internal team members and co-sourced partners: setting priorities, reviewing workpapers, and ensuring quality and consistency across the testing program - Build strong working relationships with process and control owners across the organization - Translate technical control requirements for non-technical stakeholders and vice versa - Support SEC cybersecurity disclosure requirements and related risk monitoring efforts - Coordinate with external auditors on IT SOX matters, including evidence requests, walkthroughs, and testing schedules - Track and assist with remediation of audit findings; communicate status to the Head of IT SOX and relevant stakeholders Minimum qualifications - Hands-on IT audit or IT SOX compliance experience, ideally in a fast-paced technology environment - Deep working knowledge of ITGCs, ITACs, and IT risk assessment methodologies - Experience auditing highly automated DevOps environments (CI/CD pipelines, infrastructure-as-code, automated deployments) and adapting traditional change-management and access controls to them - Experience designing, testing, and documenting controls across access management, change management, and computer operations - Demonstrated comfort with ambiguity and the ability to operate effectively in a high-pace, rapidly changing environment - Ability to effectively guide and direct the work of internal team members and/or co-sourced partners - Ability to work independently on complex, ambiguous workstreams while communicating proactively with senior stakeholders - Strong project management and organizational skills with close attention to detail - Clear, effective communicator — able to work across technical and non-technical audiences Preferred qualifications - 8+ years of hands-on IT audit and SOX compliance experience, including time in a Big 4 or comparable environment - Hands-on experience with cloud environments (GCP, AWS, and/or Azure) - Experience scaling a compliance program to public-company standards - Track record of scaling an audit or SOX program through periods of rapid growth - Familiarity with enterprise systems such as Workday, Salesforce, or GitHub - Experience evaluating SDLC controls in modern software development environments - CISA, CIA, CISSP, CPA, or equivalent certification - Genuine enthusiasm for working in an AI-first environment — applying AI to audit work itself and rethinking assumptions about how controls operate when AI is embedded in the processes being audited The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Privacy Counsel to join our Legal team. You'll counsel on complex privacy issues and build the processes and programs that address privacy and data protection in a global context. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's privacy and data protection strategy and compliance program. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, partnering cross-functionally with Legal, Integrity & Compliance, Safeguards, Security, Policy, Research and Product. Key responsibilities - Counsel product, research and engineering teams across the model and product lifecycles, applying laws written before frontier AI with clarity and fresh thinking - Translate complex technical architecture into clear, actionable risk advice - Deliver integrated guidance on safety, security and data protection - Lead privacy on Anthropic's most strategic deals and partnerships, opening creative paths for novel technologies - Negotiate privacy and data protection terms in enterprise, platform and partnership commercial agreements, including DPAs, BAAs, data sharing agreements and cross-border transfer terms - Lead privacy diligence on mergers and acquisitions, and support corporate governance - Collaborate closely with counsel and privacy colleagues on joint analysis, bringing competing views together into a single, well-reasoned position Minimum qualifications - JD from an accredited law school and active membership in at least one U.S. state bar - Hands-on experience advising a technology business (in-house or at a leading law firm) on privacy and data protection - Experience drafting and negotiating data protection agreements, such as DPAs, BAAs and data sharing agreements - Working knowledge of key global privacy laws, including those of the Americas, EEA and APAC - Ability to read and engage with technical documentation, such as system designs and architecture diagrams - Excellent legal writing, including clear, concise advice Preferred qualifications - At least 8 years of privacy and data protection legal experience - Deep familiarity with software and model development and architecture - Proven ability to build privacy processes, playbooks and templates that scale with a fast-growing business - Direct engagement with privacy regulators, including providing briefings and responding to inquiries - Privacy and data protection work on mergers, acquisitions, and similar transactions - Background advising safety, security or trust and safety teams, including on privacy incidents and notification decisions Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $335,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced and strategic transactional attorney to join the IP team within our growing legal department. In this role, you will be responsible for the IP side of Anthropic's transactions, partnering with the M&A and commercial counsel who lead each deal. You will conduct IP diligence and negotiate IP terms for our acquisitions and investments, help advise on IP terms in our most complex commercial and research agreements, and drive the playbooks and processes that make our processes scalable. You will partner closely with the Head of IP (direct manager), our M&A and Commercial Legal teams, and Corporate Development on questions and issues that are very often new. Responsibilities - Lead the IP workstream on acquisitions and strategic investments, from diligence through letters of intent, definitive agreements, closing, and integration, alongside our M&A counsel and outside counsel - Partner with commercial counsel on the IP aspects of complex enterprise, partnership, research collaboration, and vendor agreements, advising on and negotiating IP terms - Serve as the primary point of contact on IP terms for commercial legal and other colleagues, and help train them so they can resolve more IP questions on their own - Drive the playbooks, templates, and processes that let a lean team handle IP terms across a high volume of deals - Contribute to broader IP strategy, particularly where transactions intersect with open source, trade secrets, patents, or new business models Minimum qualifications - Hold a JD and are an active member of at least one U.S. state bar - Have substantial experience leading IP due diligence and negotiating IP terms in technology M&A - Have first-chair experience negotiating IP provisions in complex commercial technology agreements, such as licenses, joint development agreements, and services agreements - Have the ability to communicate IP risks and tradeoffs clearly to business leaders and non-specialist lawyers, and to exercise sound judgment about when to hold a position - Have strong working knowledge of open source licensing, employee and contractor IP assignment obligations, and trade secret protection Preferred qualifications - 10+ years of transactional IP experience at a nationally recognized law firm, a technology company, or both - Experience building negotiation playbooks, templates, or diligence processes that other lawyers relied on - Experience with AI, machine learning, data licensing, or other emerging technology - Curiosity about AI and a commitment to its responsible development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Corporate Finance & Strategy team serves as a strategic partner to Anthropic's leadership, driving data-informed decisions that shape our company's future. We are seeking a professional to support Anthropic's M&A and strategic transaction activity. In this role, you will lead the financial due diligence of acquisition targets and own the Finance & Strategy view of each deal: forecasting the target's business, testing the assumptions behind the deal, and translating its impact into Anthropic's forecast and plan. You'll partner with a broad group of cross-functional stakeholders throughout the deal process, including Corporate Development, Accounting, R&D, People, and more. The role suits someone who has seen transactions from more than one vantage point, whether as an investor, a banker, or an operator. You'll give leadership a clear view of what each deal means for Anthropic's financials, and build the models, frameworks, and playbooks that keep this work consistent from one transaction to the next, leveraging Claude as a core part of your toolkit. Key responsibilities - Lead Finance & Strategy's financial due diligence on M&A and other strategic transactions: assess the target's historical performance and forecast, pressure-test the assumptions behind the deal, and surface the risks that matter for the decision - Build the deal model and pro forma forecast for each transaction, and evaluate deal economics and structuring options - Partner with Corporate Development on the deal case, Accounting on diligence findings and post-close integration, and the sponsoring business team on operating assumptions, carrying what you learn into the model - Translate each deal's impact into Anthropic's forecast and plan, and present your analysis and recommendations to Finance leadership - Build the templates, playbooks, and processes that make deal work repeatable, and use Claude to raise the rigor and pace of that work over time Minimum qualifications - 7+ years of experience in M&A-related roles across investment banking, private equity, growth equity, venture capital, corporate development, or strategic finance - Hands-on experience building acquisition models and pro forma forecasts from scratch, with mastery of how a transaction flows through the three financial statements - Strong collaborator who builds trust quickly across large, cross-functional deal teams - Clear, proactive communication, including experience presenting to Finance leadership - Thrives in fast-paced, dynamic environments and navigates ambiguity with confidence - Track record of building new processes, templates, and playbooks - Passion for Anthropic's mission of building safe, beneficial AI Preferred qualifications - MBA, CFA, or CPA - Experience on both the investing / advisory and operating sides of transactions - M&A experience at a public company, with an understanding of downstream reporting impacts - Experience using Claude or similar AI tools to raise both the quality and the efficiency of your work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises in Korea understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers in Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders, including global teams across time zones, to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences. You will need to be able to span the gamut from technical deep dives for engineering and development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases, including Korean language use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - 5+ years of experience in people management for the technical sales roles. - Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering and IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems - Fluency in Korean and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. You will be the first enablement leader on the ground in APAC. You will change that. As the first enablement leader based in APAC, you will own how the field across the region gets ready: onboarding, ongoing skill development, manager coaching support and launch readiness, for every GTM function, not just sales. You are the multiplier. You turn a rapidly scaling region into a field that is ready for the customer conversations in front of it, in the languages those conversations happen in. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to design for APAC as part of that engine, adapted and translated where it matters, delivered across APAC, feeding what you learn back into the international and global programme. Design, influence and translate, in both directions. How we work: adults learn by doing, we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell. This takes creativity and a deep understanding of how adults learn, applied at unprecedented speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable. Infinite practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content. Key responsibilities - Stand up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a regional feedback loop into the global programme - Adapt the international portfolio for APAC, where enablement for several markets must be written and translated ahead of delivery rather than spoken and hoped for - Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows - Own launch readiness for the region. When a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else - Run practice-first sessions in the room: deal walkthroughs, role-plays, customer-conversation rehearsal. Practice and application over presentation Minimum qualifications - Have 15+ years in GTM enablement, sales productivity or field roles, with several years leading enablement - Have built and led GTM enablement in APAC, with direct experience in more than one of the region's markets - Have influenced and shipped beyond your own region, from a global seat or a regional one: a programme adopted elsewhere, or a senior stakeholder outside your reporting line whose decision you changed - Personally design practice-first enablement and measure it by what the field does differently afterwards, not content shipped or attendance - Understand how adults learn and apply it at unprecedented speed. Much of the job is helping experienced sellers unlearn pre-AI habits, not just teaching new ones - Are creative with the craft. You use AI to give every seller personalised practice, real-deal scenarios and fast feedback, not to produce more content - Have owned a function with end-to-end accountability rather than orchestrated one - Have enabled a field across languages and cultures. You know what breaks when content built for English-first markets ships as-is - Operate as the region's first enablement leader: prioritising ruthlessly, borrowing leverage from global programmes, knowing when to adapt versus adopt - Work fluently with sales leaders as a peer: pipeline reviews, deal inspection and forecast conversations, not just training rooms Strong candidates may also - Have held both a global and an APAC enablement role - Have run enablement delivered across APAC markets - Have built a regional enablement function from zero - Have carried a quota or led sellers earlier in their career - Have enablement experience in AI, developer platforms or technical products sold to both executives and builders - Have built manager or coaching programmes, not just individual-contributor enablement Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Join Anthropic's India-based Customer Success team as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across India helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you, will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our product development and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As a founding CSM in India, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: - Build trusting, strategic relationships with key Indian customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments - Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of Indian customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as one of the founding members of the India CS team, developing where needed, India-specific processes, playbooks, and best practices that account for regional business cultures You may be a good fit if you have: - 12+ years of experience in customer-facing roles (Customer Success, Consulting, Success Engineer or similar) - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns - Experience explaining and demonstrating technical products to various audiences - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Strong project management skills and ability to manage multiple customer relationships - Passion for AI and interest in responsible development of advanced systems - Experience working in and building a growing region, while navigating across time zones with US-based headquarters - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns - Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: - 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Comfortable with Python - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems - Ability to work effectively across cultures and time zones as part of a global team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI most—nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally. This role requires strong full-stack engineering skills combined with deep empathy for underserved communities and mission-driven organizations. As an IC engineer on this team, you'll solve unique technical challenges at the intersection of AI accessibility, social impact, and scalable product development, and will help make frontier AI accessible to organizations working on humanity's most pressing challenges. Core Responsibilities: - Design and implement infrastructure that enables accessible, self-serve onboarding and verification systems for global markets - Understand the needs of underserved communities and translate them into scalable technical and product solutions - Build flexible pricing, billing, and provisioning systems that balance accessibility with sustainability for resource-constrained organizations - Develop MCP integrations that connect Claude with mission-critical tools used by nonprofits, educators, healthcare workers, and researchers - Develop multilingual and accessibility capabilities across platforms - Build systems to measure and demonstrate social impact at scale - Partner with product, partnerships, and field teams to rapidly prototype and validate solutions with real communities - Ensure platform reliability and performance for mission-critical deployments in humanitarian and social impact contexts You might be a good fit if you: - Have 6+ years of practical experience as a full-stack software engineer - Have experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations - Have technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations - Have a builder mentality with ability to ship products quickly while maintaining quality for diverse user needs - Care deeply about using technology for social good and want your engineering work to have meaningful impact - Have excellent collaboration skills and can work effectively with product, partnerships, and field teams Strong candidates may also: - Experience with international markets, multilingual products, or accessibility features - Background in nonprofit technology, social impact startups, or mission-driven organizations - Experience with AI/ML products and LLM applications - Familiarity with building products for resource-constrained environments or emerging markets - Understanding of compliance requirements in regulated sectors - Startup experience, particularly in scaling products from zero to one Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As part of Anthropic’s Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Engineer will own the validation, standardization, and deployment of physical security technology across Anthropic’s rapidly expanding global office portfolio. This role bridges the gap between technology selection and production-ready operation — ensuring that every security platform deployed is rigorously tested, properly integrated with enterprise infrastructure, fully documented, and built for scale. You’ll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You’ll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic’s infrastructure before going live. Your work will directly determine whether Anthropic’s security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint. Responsibilities: - Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations - Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations - Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform - Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production - Support colleagues’ security applications through InfoSec review processes, ensuring new tools meet Anthropic’s information security and compliance requirements - Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams - Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion - Initiate onboarding of deployed hardware and systems into Anthropic’s health monitoring platform to ensure operational visibility from day one - Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites - Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale - Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment - Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently You may be a good fit if you: - Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization - Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential - Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently - Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments - Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools - Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms - Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity - Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices - Are comfortable with 25% travel for site deployments, commissioning, and validation Strong candidates may have: - Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments - Experience with Anthropic’s specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai , Ambient.ai , SureView, Envoy - Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP - Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems - Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation - Experience with health monitoring and observability platforms - Knowledge of SOC 2 compliance, GDPR, and physical security compliance frameworks - Experience with change management, configuration control, and version-controlled infrastructure documentation Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Compute & Infrastructure Counsel, Real Estate at Anthropic, you'll drive legal execution for Anthropic's largest physical infrastructure transactions: direct datacenter leases, construction agreements, and the financing structures that enable infrastructure investments at massive scale. This role focuses on facilities where Anthropic has direct control through ownership or long-term lease, complementing the colo & networks, and cloud compute legal teammates (facilities where Anthropic is tenant, and our hyperscaler relationships, respectively). You'll work in close partnership with specialized outside counsel on financing and real estate matters, serving as the in-house coordinator who ensures external work product aligns with Anthropic's commercial objectives and integrates with our overall compute strategy. Responsibilities - Negotiate long-term datacenter leases with major developers, and represent some of Anthropic's largest and lengthiest capital commitments - Coordinate construction-adjacent agreements including design-build contracts, equipment procurement, and commissioning schedules - Manage legal workstreams for complex financing structures (e.g., sale-leasebacks, tax components, or project finance vehicles) - Work closely with specialized outside counsel (real estate and financing specialists), ensuring their work product aligns with Anthropic's commercial objectives - Collaborate with compute team's transaction managers who handle operational execution and project management, providing legal and risk management expertise - Coordinate with finance and corporate development on strategic deal structuring - Understand how datacenter legal structures interact with the compute capacity they will house e.g., power requirements, cooling specifications, security standards, and expansion rights all flow from decisions made elsewhere in the Compute organization - Escalate novel structures or terms that create downstream risk for Anthropic's operational flexibility to managers; ensure facility designs accommodate AI-specific requirements including high-density power, liquid cooling infrastructure, and rapid scaling capacity Minimum qualifications - JD and active membership in at least one U.S. state bar - Fluency in commercial real estate and construction contracting; datacenter lease structures, construction risk allocation, and financing arrangements (and how they will interact) - Experience with EPC, AIA, and design-build arrangements at scale - Comfort with project finance structures and the interplay between lease, financing, and development agreements - Ability to coordinate effectively with specialized outside counsel while maintaining strategic direction - Strong judgment about when deal terms create downstream risk for operational flexibility - Effective collaboration skills for working with business teams who handle transaction management and site selection - Communication skills that translate complex real estate and financing concepts into clear risk assessments for business stakeholders - Genuine interest in infrastructure development and appreciation for why datacenter capacity is mission-critical for frontier AI Preferred qualifications - At least 8 years of relevant legal experience with meaningful exposure to infrastructure real estate transactions, project finance, or construction contracts - In-house experience at datacenter developers supporting leasing, project development, and financing transactions - Background at infrastructure private equity firms with exposure to datacenter or similar infrastructure investments - Experience at large technology companies with datacenter construction programs supporting development transactions from the buy side - Law firm experience at practices with infrastructure finance or project development specialization, particularly those who have worked on datacenter, power, or similar infrastructure financings - Prior involvement in transactions requiring sophisticated understanding of construction timelines, commissioning requirements, and operational handoff - Familiarity with tax structures, sale-leaseback arrangements, or other financing vehicles used in large-scale infrastructure development Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or Seattle office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $335,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: - Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications - Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices - Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers - Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - Native German speaker with excellent written and verbal communication skills in German and English - 7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences - A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases - Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies - Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives - Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market - A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: - Competitive base salary and commission structure - Equity participation in Anthropic's growth - Comprehensive benefits package - Opportunity to shape the AI industry in DACH and EMEA - Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 - €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large banking organizations across Switzerland. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the Swiss market. Responsibilities: - Win new business and drive revenue for Anthropic within the banking sector across Switzerland. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications - Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across Swiss business culture and practices - Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the Swiss enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers - Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - Native German speaker with excellent written and verbal communication skills in German and English - 5+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies - Specialised sales industries experience: Banking - A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases - Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies - Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives - Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the Swiss market - A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: - Competitive base salary and commission structure - Equity participation in Anthropic's growth - Comprehensive benefits package - Opportunity to shape the AI industry in Switzerland and EMEA - Professional development and career growth opportunities Location: Zurich (hybrid working available) Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's partners are often the first place an enterprise hears about Claude. The sellers and practitioners inside our cloud, system integrator, ISV and reseller partners are positioning Claude in thousands of conversations we will never be in, and how well they tell that story shapes how customers understand what Claude can do for them. Getting that many people ready, and keeping them ready as our products move, can't happen one partner at a time. We're looking for a Scaled Partner Enablement Programs Lead to build and run the programs that carry our go-to-market motions across the ecosystem. Some of these programs you'll build, including a partner train-the-trainer model and a repeatable way to take sales plays to market with partners. Others you'll inherit and make better, including our global partner webinar series and the enablement that prepares Anthropic's own field to sell alongside partners. All of them serve the same outcome, field readiness, meaning sellers on both sides of a deal understand Claude, can position it with confidence, and know how to win together. This role combines program leadership with program building. Your job is to make these programs repeatable and to build the operating rhythm that keeps them consistent across regions. You'll connect Product Marketing, Sales, Partner Programs, our partner-type enablement leads, and the Partner Training & Curriculum and Certification teams. Key responsibilities - Build Anthropic's partner train-the-trainer model, packaging our most effective training so partners can deliver it to their own teams and extend our reach beyond what our own team can deliver directly - Build a repeatable way to take focused GTM motions, such as sales plays and launches, to market with partners at scale, working with our partner-type enablement leads so each play reflects how that partner motion actually sells - Manage our global scaled partner webinar series and evolve it into the primary channel for launch, product and program messaging to the ecosystem, so partner sellers hear one clear, current story about Claude - Strengthen how we enable Anthropic's own field on partners, so our sellers understand the value partners bring, know how to co-sell, and show up alongside us to help these programs scale. This spans field training that lands each new motion, partner content in GTM onboarding, and a central, current home for partner resources - Run the portfolio as one system, with a shared operating model, content intake and calendar, production standards, and global delivery across regions, time zones and languages - Lead a team of contractors aligned to specific programs, and keep work coordinated across the many teams that contribute to them - Track field readiness and define metrics that measure program effectiveness beyond attendance You may be a good fit if you have - Built and scaled 1:many enablement programs for large partner sales and technical audiences at a technology company, across partner types such as SIs, cloud providers, ISVs or resellers - Enabled a large internal sales organization on new GTM motions, including how to co-sell with external partners - Taken sales plays or GTM motions to market through partners and measured their pipeline impact - Built or run a train-the-trainer model that let partners deliver training consistently without you in the room - Led programs through a team of contractors or vendors, delivering across multiple regions and languages - Comfort operating where products and messaging change constantly and the underlying operating systems are still being established - Experience using AI across your day-to-day workflows to extend your own scale and reach The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Claude reaches more people, including individuals, businesses, developers building on our APIs, and the platforms and resellers building on top of those, knowing who is on the other side of a request and what they are allowed to do becomes foundational to running our products responsibly. Creating a centralized identity, verification, and access system that every Claude surface draws on is important to accomplishing our mission. We are hiring a Product Manager to own the safe access. The primitives are the building blocks the rest of Anthropic uses to manage access to models and capabilities: access programs, accounts, organization linking, verifications, user APIs for platforms, and the internal tooling teams use. You will own the end-to-end product experience and strategy for internal and external access,, across every surface. This is a role for a strong executor with the ability to be agile in shipping in a 0-1 product space. Safe access is a new product that sits on the critical path of every model launch and every access program. Requirements arrive from many organizations at once, and most weeks you will be the person defining the problem rather than receiving it. Key responsibilities - Own the product strategy and roadmap for the account and access primitives, with the goal that any team at Anthropic can provision access or run an access program with minimal support. This is highly ambiguous and requires a lot of cross team coordination and deep understanding of the systems of today. - Own the end-to-end experience of getting and managing access for internal stakeholders (research, model launches, safeguards, go-to-market) and for external customers and partners, and keep it consistent across every surface. This requires thinking through many user types, with vastly different experiences. - Support the API designs and the UX of the access APIs that platforms, resellers, and internal services integrate with. Work through the designs with engineering and make calls on the primitives yourself. - Partner with the trusted access and verification product managers so that new programs compose from shared primitives rather than one-off builds. - Coordinate across the product, safeguards, legal, and go-to-market teams, and drive alignment when their requirements conflict. Minimum qualifications - Are a strong executor with a track record of shipping through ambiguity and cross-organization dependencies. - Write clearly enough that an engineer, an executive, and an external partner can each see the tradeoff you are making. - Have owned a developer platform, identity, authorization, or access-management product end to end, and were the person accountable for its outcomes (for most people this means five or more years as a PM, but we care about the ownership, not the years). - Care about Anthropic's mission, and specifically about scaling access to Claude safely. Preferred qualifications - 8+ years of product management experience - Experience with multi-tenant platforms consumed by first-party apps, direct API customers, and third parties building on top - Built account, identity, or subscription systems that span more than one product - Taken a product from zero to one, where the users, the product, and the requirements all had to be worked out at once The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Storage plays an essential role at Anthropic across research, development, product, and running the business. Our exabyte-scale, multi-cloud storage infrastructure underpins training, CI, sandboxing, inference, warehousing, and long-term data retention. Our storage needs are growing rapidly with Claude. To keep up, we're looking for engineers who have designed, secured, operated, scaled, governed, and optimized blob storage platforms at hyper-scale. You'll join a welcoming, collaborative, high-trust, high-velocity team that is devoted to our users and Anthropic's mission. You'll bring deep experience, essential technical guidance, user-centric product sense, and hands-on significant contributions to help us evolve Anthropic's storage capabilities while absorbing increasing volume and complexity. You'll own high-stakes architectural decisions and deliverables to make stored data securely and speedily accessible across varying infrastructures and regions. You'll collaborate closely with other orgs to drive world-class security, usability, reliability, and capacity/cost efficiency: both for the data we store, and the ways we make it accessible to power a wide range of workflows. You'll partner with research, training, infrastructure, business, and data teams to understand our storage needs and opportunities, today and in the future. You'll drive strategic investments that uplevel Anthropic's ability to ship safe, useful AI at speed. Key Responsibilities - Shape the technical strategy and architecture for Anthropic's storage layers - Build strong relationships with our users and partner teams, and deep understanding of their access patterns and unique security, usability, and business requirements: everything from large-scale ML and training workloads, to financial data processing with strong controls - Partner closely with CSPs, networking, and datacenter teams on infrastructure primitives - Translate user needs into scalable, achievable system designs and drive alignment - Make principled tradeoffs across durability, availability, consistency, performance, security, and cost, and document the reasoning so other engineers and teams can build on it - Break large problems into deliverable milestones, and lead cross-functional teams to ship new capabilities safely at unprecedented speed - Work across backend stacks, abstraction layers, and clients to provide users with simple, consistent interfaces no matter where data lives - Plan and lead large migrations of critical workloads with user minimal disruption - Participate in and improve operations, including SLOs, observability, capacity planning, incident response, and on-call - Stay hands-on in code and production, including in the most critical and complex areas Minimum Qualifications - Experience designing, building, and operating a large-scale distributed storage system in production, such as an object store, distributed file system, or block storage service. - Deep understanding of storage system fundamentals, including: Replication and erasure coding, consistency models, metadata management, durability, failure handling, high availability, access controls, identity models, security approaches, abstraction layers, network requirements, multi-region considerations - Experience serving as an owner, tech lead, or architect for a large, complex infrastructure system that orgs and customers depend on - Strong software engineering fundamentals and hands-on coding ability in at least one systems language, such as C++, Rust, Go, or Java - Experience operating and steering critical infrastructure at scale, including security, on-call, incident response, capacity planning, customer support, and cost efficiency - Strong written and verbal communication skills, with experience driving alignment on technical direction and user-facing across multiple orgs and stakeholders The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Platform (API) is how developers and enterprises build with Claude, directly and through our cloud partners. It runs on a consumption model, and the economics move quickly. New models and capabilities launch often, the cost to serve keeps changing, and customer usage can scale fast. How we price and package the platform shapes both our revenue and how efficiently we turn compute into value for customers. We're looking for a senior Finance & Strategy leader to own the financial strategy for the Claude Platform and to design the business models that come next. You'll sit on the Product Finance team and work closely with product, engineering, inference, and go-to-market leaders. You'll shape how we price and package the API, how we structure commitments and service tiers, and how we monetize new products and capabilities as they launch. You'll also work with infrastructure and inference teams so pricing reflects what it costs to serve and how capacity shapes what we sell. This is a finance role that sits very close to product. You'll be part of product decisions as they're made, bringing the financial model, the tradeoffs, and a clear recommendation. You know consumption-based and infrastructure businesses well, and you're comfortable owning complex pricing decisions alongside senior leaders. Key responsibilities - Own financial strategy for the Claude Platform (API), including pricing, packaging, discounting, and commercial terms across self-serve, enterprise, and cloud partner channels - Design and launch new business models for the platform and new products, such as capacity commitments, service tiers, and usage- or outcome-based pricing, from first framing through launch and post-launch review - Set pricing for new product features on the platform, working with product, engineering, and go-to-market teams to balance adoption, capacity, and margin - Partner with infrastructure and inference teams to understand how cost to serve is changing, and turn efficiency gains and capacity constraints into pricing and product decisions - Work closely with product leaders on roadmap priorities, launch sequencing, and business cases for new bets, bringing the financial view into product decisions - Bring recommendations on pricing, investments, and tradeoffs to executive leadership, with the analysis to support them - Define the metrics that show whether pricing and new business models are working, and build the dashboards and reviews to track them - Work with FP&A, accounting, deal desk, and revenue operations so pricing changes are forecast, billed, and reported correctly - Mentor members of the Product Finance team and help shape how the team analyzes and communicates pricing decisions Minimum qualifications - Experience in strategic finance, product finance, or a closely related field, including ownership of pricing or business model decisions - Hands-on experience with consumption-based or usage-based business models, including pricing, packaging, and forecasting for products where revenue scales with usage - Experience with infrastructure, cloud, or developer platform businesses, and a working understanding of how compute costs and capacity drive unit economics - A track record of designing and launching new pricing or business models, from analysis through go-to-market - Experience partnering closely with product teams and turning financial analysis into product and roadmap decisions - Advanced financial modeling skills in spreadsheets, and comfort pulling and analyzing your own data in SQL - Experience building the business case for major decisions and presenting recommendations to executive leadership - Clear written and verbal communication, including explaining financial tradeoffs to product, engineering, and research audiences - Sound judgment when data is incomplete, and comfort making a call and revisiting it as you learn more - Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications - 10+ years of experience across strategic finance, product finance, private equity, growth equity, venture capital, consulting, or investment banking - Experience pricing APIs, developer tools, or cloud infrastructure services such as compute, storage, or data platforms - Experience with enterprise commercial structures such as committed-spend agreements, volume discounts, reserved capacity, or tiered service levels - Experience selling through cloud marketplaces or partner channels, and managing the economics across first-party and third-party distribution - Familiarity with how large language models are served, including token-based pricing, inference cost drivers, and capacity planning - Experience monetizing a new product category without clear market benchmarks - Experience building a team, or leading and mentoring senior analysts - Background in AI, ML, or related technologies The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 - $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Customer Success Manager on Anthropic's Public Sector team, you will be the post-sales trusted advisor helping national security customers realize the value of Claude and turn their investment into mission impact. You'll combine your customer success expertise with technical fluency to drive adoption of Claude Code, the Claude API, and Claude for Government (C4G) on classified infrastructure delivered through a cleared cloud provider, while maintaining our high standards for safety, security, and discretion. Working closely with our Sales, Applied AI, Product, Engineering, and Policy teams, you'll guide customers from deployment through enablement, model migration, renewal, and expansion. You'll develop genuine partnerships with customers' AI leadership, platform and compute teams, security and accreditation officials, and mission operators—and with the cleared cloud providers and system integrators that deliver alongside us. Your understanding of their mission, how they accredit and govern capabilities on classified fabrics, and how they evidence value to oversight will help them deliver decision advantage. Drawing on both your national security expertise and technical knowledge, you'll serve as a strategic advisor throughout their journey with us—helping them navigate constraints that don't exist in commercial or federal civilian deployments: classified-fabric accreditation, fixed compute capacity, compartmentation, limited telemetry, and need-to-know discipline. Much of this work happens onsite, in the customer's spaces, on their systems. Your role focuses on driving consumption and adoption of Claude across mission workloads, standing up enablement and change management suited to a cleared, mission-driven workforce, identifying and hardening the workloads that matter most to the mission, and demonstrating value in unclassified terms that can leave the building and support renewal and expansion. The insights you gather will directly inform our research priorities, product roadmap, and national security strategy—making you a key voice in shaping how Anthropic builds and delivers AI systems for the most demanding missions. Key responsibilities: - Partner with the account executive and Applied AI architect to deeply understand the customer's mission requirements and translate them into an account and success plan, ensuring alignment between mission objectives, the customer's investment, and technical implementation - Serve as the primary post-sales advisor to the customer throughout their Claude adoption journey, from deployment through enablement, model migration, renewal, and expansion. You will need to build trusted relationships across the customer's senior stakeholders—AI leadership, platform and compute teams, security and accreditation officials, contracting, and mission operators—and coordinate internally across multiple teams and with cleared cloud providers to drive customer success - Support customers building with Claude Code, the Claude API, and Claude for Government on classified infrastructure—managed configuration, capacity and throughput planning, and workload onboarding—with a working understanding of accreditation requirements (FedRAMP High, IL5/IL6, classified-fabric accreditation) - Create and deliver compelling enablement and executive content tailored to different audiences. You will need to spread the gamut from hands-on Claude Code enablement for engineering teams (Train the Trainer, managed configuration as the "paved road," Center of Excellence development) up to mission-value conversations with senior agency leadership, in unclassified language that can leave the building - Help the customer develop evaluation frameworks and measure adoption and value without direct telemetry—provider capacity reports, customer-run dashboards, workload registries, and agreed leading indicators—and guide model migration and release readiness: eval gates built from their workloads, staged cutovers off end-of-support models, and realistic expectations about what lands on their fabric and when - Drive consumption and adoption: separate under-pacing from burst saturation of a fixed compute pool, smooth and onboard workloads before asking for capacity, discover new mission workloads across compartmented organizations, and document value realized in mission-outcome terms (decisions accelerated, coverage, timeliness, findings produced) - Own Executive Business Reviews that function as discovery and alignment—leaving executives with sponsor commitments, mutual next steps, and a mission-outcome narrative that supports the renewal decision—and serve as the primary conduit between the customer, cleared cloud providers, and Anthropic - Identify common adoption and integration patterns and hero workflows that demonstrate mission transformation, and contribute insights back to our Product, Engineering, Research, and Policy teams—while maintaining strict separation of classified and unclassified channels and escalating correctly (e.g., 'Claude cut a high-volume analytic triage queue from days to hours') - Work onsite frequently at customer facilities for enablement, workshops, and relationship building, on the customer’s systems and within their security and need-to-know rules - Maintain strong knowledge of the latest developments in LLM capabilities, agentic and Claude Code implementation patterns, and national security AI policy You may be a good fit if you have: - Due to U.S. Government contract requirements, this position requires U.S. citizenship and an active TS/SCI security clearance with a current full-scope polygraph (a TS/SCI with CI polygraph may be considered where crossover is supportable) - Must have prior experience working with US national security (defense and/or intelligence) agencies —ideally at the level of AI leadership, platform, and compute teams rather than a single program office—and a working knowledge of how national security agencies accredit, budget, govern compute, and measure mission (including the difference between FedRAMP High, IL5/IL6, and classified-fabric accreditation, and the role of cleared cloud providers and system integrators) - 5+ years of experience in customer-facing roles such as Customer Success Manager, Technical Account Manager, Solutions Architect, or Consultant, with experience navigating complex stakeholder environments; able to work onsite at customer facilities in the National Capital Region 3-4 days per week - Experience driving success with consumption-based products (tokens, throughput, capacity) as well as seat-based products, including measuring adoption and value when you cannot see usage directly - Technical fluency with AI/ML concepts, API integration patterns, and agentic tooling such as Claude Code; familiarity with common LLM frameworks, tools, and evaluation approaches, and hands-on experience building something with an LLM API or coding agent, is a strong plus - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, from engineering and platform teams to security and accreditation officials to senior national security leadership - Judgment and discretion: never over-promises on dates, capabilities, or documentation; practices need-to-know as a reflex; keeps composure under political and competitive pressure; strategic mindset to identify mission transformation opportunities and translate them into actionable expansion plans - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities—advocating for customer needs across internal (Applied AI, Policy, Research, Security) and external (cleared cloud provider, system integrator, program office) stakeholders - Passion for thinking creatively about how to use AI in a way that is safe and beneficial for the national security mission, and ultimately furthers the goal of advancing safe AI systems - A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality—you're a true team player The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $350,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Architect on the Partnerships team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a National Security Partnerships Lead to grow and manage our relationships with the U.S. Intelligence Community and with allied intelligence and security services. You will report to the Head of National Security Policy and advise company leadership on intelligence and allied-partner matters. You will help partner security organizations build policies that let them adopt frontier AI quickly and for high-impact missions, while deploying it safely and avoiding incidents. You will also engage U.S. and foreign government officials on the policy frameworks that guide the international distribution and deployment of Anthropic's models. You will own a portfolio of government partnerships end to end: setting the agenda with senior counterparts, structuring the agreements and channels that govern each relationship, and bringing partner requirements and concerns back into Anthropic's policy, product, research, and safeguards decisions. You will work closely with our public sector sales, legal, security, and threat intelligence teams. Key responsibilities - Lead Anthropic's strategic engagement with U.S. Intelligence Community elements and allied intelligence and security services. - Help partner security organizations develop the policies and governance that enable rapid, high-impact adoption of frontier AI and safe deployments that avoid incidents. - Identify high-leverage national security deployments with partners, and support our public sector sales team in delivering them. - Brief senior government security officials in the U.S. and allied capitals on frontier AI capabilities, risks, and Anthropic's approach to safety. - Engage U.S. and foreign government officials on the national security implications of the international distribution and deployment of Anthropic's models, and advise company leadership on partner equities in those decisions. - Partner with federal affairs, international policy, communications, and marketing on national security matters, including engagement with the Executive Branch and Congress. - Travel regularly within the U.S. and to allied countries. Minimum qualifications - Substantial experience in national security, including work in or with the Intelligence Community. - Direct experience managing relationships with foreign partner governments or services. - An active TS/SCI clearance, or one held within the last two years, and the ability to obtain and maintain it. - Experience negotiating formal agreements or partnerships between governments, or between government and industry. - A working understanding of how intelligence organizations operate, including classification, liaison relationships, and how they adopt new technology, and the ability to get things done within those constraints. - The ability to brief senior policymakers and officials clearly, and to explain technical subjects without overstating them. - Experience working effectively with cross-functional teams, including technical, sales, policy, trust and safety, legal, security, product, research, and communications. - Demonstrated interest and experience in a complex technical subject, ideally AI, though defense technology, cybersecurity, or similar fields also count. - The ability to build structure where little exists and to manage competing priorities without waiting for perfect clarity. Preferred qualifications - 10+ years of experience in national security, including substantial work in or with the Intelligence Community. - Experience in a liaison, foreign partnership, or foreign disclosure role. - Experience in related private-sector roles, such as at technology, cybersecurity, or defense companies. - Regional expertise or language skills relevant to allied partners. - Hands-on familiarity with large language models and how they can be misused. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $295,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: - Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications - Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices - Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers - Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - Native German speaker with excellent written and verbal communication skills in German and English - 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies - Specialised sales industries experience: Public Sector - A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases - Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies - Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives - Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market - A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: - Competitive base salary and commission structure - Equity participation in Anthropic's growth - Comprehensive benefits package - Opportunity to shape the AI industry in DACH and EMEA - Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Accommodations Partner at Anthropic, you will own the end-to-end reasonable accommodation process, ensuring employees and candidates receive fair, compliant, and thoughtful support. You will serve as the subject matter expert on complex, high-stakes accommodation requests and applicable disability law across the jurisdictions where Anthropic operates, leading the interactive process with employees, managers, and HR, and partnering closely with Recruiting (for candidates), Benefits, Employment Legal, and external partners to identify effective solutions. This role requires balancing hands-on casework with process-building, as you will manage individual accommodation requests directly while also helping shape the frameworks, documentation, and cross-functional coordination needed to scale this function globally. You'll partner closely with People Partners, Benefits, Recruiting, Employment Legal, and Occupational Health resources across regions to navigate sensitive medical and disability-related matters with care, discretion, and sound judgment. As we continue to scale rapidly, you'll help build the foundations of an accommodations function that can grow with the organization. Key responsibilities - Interactive Process Management - U.S.: Serve as the primary point of contact for reasonable accommodation requests from U.S.-based employees and candidates, leading the interactive process from initial request through resolution. Partner directly with employees, managers, People Partners, and recruiters to understand functional limitations, evaluate potential accommodations, and reach determinations that are both legally sound and operationally workable. - Global Accommodation Request Management: Own accommodation requests from employees and candidates outside of the United States, serving as the initial point of contact and primary owner, in partnership with regional People Partners and Employment Legal. - Complex Case Management: Own complex, high-stakes, or legally ambiguous accommodation requests personally, including those involving conflicting medical documentation, competing business needs, or heightened legal risk, while providing guidance to People Partners and managers on more straightforward cases. - Cross-Functional Partnership: Partner closely with the internal Benefits team on accommodation requests intersecting with leave, disability, or benefits eligibility. Interface with external partners, including accommodation platform vendors, to support timely and accurate case review. - Policy & Program Development: Along with the broader ER/People team, build scalable, repeatable processes and documentation for accommodation requests across regions. Develop frameworks that support consistent, defensible decision-making while remaining responsive to the nuance of individual cases. - Education & Enablement: Own education strategy for accommodations best practices, delivering training and guidance to People Partners, managers, and interviewers, and on how to support the process appropriately while maintaining confidentiality. - Documentation & Recordkeeping: Ensure accommodation requests, supporting materials, and determinations are documented and handled appropriately, maintaining accurate records, files, and confidentiality throughout the process. - Data & Insights: Track accommodation metrics and trends to identify patterns, inform policy decisions, and proactively flag systemic issues or risk areas. Minimum qualifications - Have deep working knowledge of the ADA and applicable state disability accommodation laws, and experience applying that knowledge to real accommodation processes and decisions, including a full understanding and working knowledge of the interactive process. - Have demonstrated experience independently managing complex, high-stakes, or legally sensitive accommodation cases - Are skilled at managing highly sensitive medical and disability-related information with discretion, empathy, and sound judgment - Excel at communicating clearly and building trust with employees, managers, and HR at all levels - Are comfortable with ambiguity and can create structure where none exists - Care deeply about fairness, equity, and creating an accessible, supportive workplace - Are comfortable working in a fast-paced environment Preferred qualifications - Have 5+ years of progressive experience managing reasonable accommodation requests, ideally in a corporate or HR setting - Familiarity with Disclo and Sparrow, or similar accommodation case management platforms - Experience managing international accommodation requests or familiarity with multi-country accommodation frameworks - Background working at technology companies or startups - Experience helping build or scale an accommodations function - Knowledge of or interest in AI safety and the unique people challenges in frontier AI development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 - $180,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As the Head of GTM Strategy, Operations, and Analytics at Anthropic, you will lead our global GTM Strategy & Operations teams, as well as our GTM Analytics function, driving strategic decision-making and operational excellence across our rapidly scaling business. You'll manage growing teams responsible for GTM strategy, operations, and analytics, ensuring our sales, marketing, and customer success organizations have the insights, processes, and operational support needed to achieve ambitious growth targets while maintaining our commitment to safe AI deployment. In this role, you'll be a key partner to GTM leadership, owning critical operating cadences, forecasting processes, and strategic planning initiatives. You'll drive data-driven decision making across the organization while building scalable systems and processes that support our mission to make AI safe and beneficial. Responsibilities - Lead and scale teams across GTM Strategy & Operations and GTM Analytics, providing strategic direction and fostering a culture of operational excellence and analytical rigor - Own and optimize key GTM operating cadences, including forecasting processes, monthly and quarterly business reviews, and board-level reporting - Drive quarterly and annual planning processes for territory design, GTM headcount planning, quota setting, and target allocation - Establish central reporting frameworks and executive dashboards that provide actionable insights to GTM leaders and enable data-driven decision making - Partner closely with Sales, Marketing, and Customer Success leadership to identify operational challenges and implement scalable solutions - Develop and maintain GTM performance metrics, KPIs, and reporting standards that align with company objectives and drive accountability - Lead cross-functional initiatives to optimize GTM efficiency, including process automation, system integrations, and workflow improvements - Provide strategic insights and recommendations to executive leadership on market opportunities, competitive positioning, and go-to-market effectiveness - Collaborate with Finance and Data Science teams to ensure alignment on revenue forecasting, pricing strategies, and market analysis - Partner closely with product organization to drive new product introductions, bring the voice of the customer and the field into roadmap and launch decisions, and shape pricing, packaging and sales readiness so each launch lands with the field prepared to sell it. - Build and maintain relationships with key stakeholders across the organization, serving as a trusted advisor on GTM strategy and operations You may be a good fit if you: - Have 10+ years of experience in revenue operations, sales operations, or GTM analytics, with at least 5 years in senior leadership roles - Have proven experience scaling GTM operations at high-growth technology companies, preferably in the enterprise software or AI/ML space - Possess deep expertise in forecasting methodologies, territory management, quota planning, and GTM performance measurement - Are proficient in CRM & other GTM systems (Salesforce, Gong) - Have strong analytical skills with experience in SQL, data visualization tools (Tableau, Looker) - Excel at stakeholder management and cross-functional collaboration, with demonstrated ability to influence at all levels of an organization - Are a strategic thinker with the ability to translate business objectives into actionable operational plans - Have experience building and leading high-performing teams in fast-paced, ambiguous environments - Possess excellent communication skills and can present complex data insights to executive audiences - Thrive in a mission-driven environment and are passionate about the responsible development and deployment of AI technology - Have operated at scale and through hypergrowth in an enterprise B2B business; understand the consumption world, where revenue follows usage rather than signature; and have lived both the zero-to-one build of a function and the one-to-massive scaling of it. Strong candidates may have: - Experience in API-first, consumption-based, or complex Enterprise business models - Background working with enterprise customers and understanding of complex sales cycles - Experience managing both individual contributors and managers - Knowledge of compliance and regulatory requirements relevant to AI/ML companies - MBA or advanced degree in a quantitative field - Previous experience scaling operations through periods of rapid international expansion The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $540,000 - $585,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive at Anthropic, you'll partner with the most innovative AI-native companies in their hypergrowth journey, working directly with founders and leadership teams to shape the future of AI adoption. You'll own our most strategic customer relationships, leading complex commercial discussions while driving deep engagement between these pioneering companies and Anthropic's executive team. Responsibilities: - Own and deepen relationships with founder/CEO-level executives at the fastest-growing AI companies, serving as their primary strategic partner for AI infrastructure decisions - Lead complex, high-stakes commercial negotiations spanning multiple stakeholders, including founders, operators, and venture capital firms - Drive strategic alignment between customer roadmaps and Anthropic's product vision, advocating for customer needs at the highest levels of our organization - Partner closely with technical counterparts to ensure seamless execution and customer success - Identify emerging market trends and opportunities based on a deep understanding of how leading AI companies are building and scaling - Develop and execute account strategies that support customers through various growth stages, from early startup to category leader - Navigate complex organizational dynamics while maintaining strong relationships across both customer and internal stakeholders You may be a good fit if you have: - 14+ years of experience in strategic sales or account management, with proven success managing high-complexity, strategic customer relationships - Track record of leading and closing sophisticated commercial deals with multiple stakeholders - Experience working directly with founders and C-level executives at high-growth technology companies - Strong business acumen and ability to understand technical concepts sufficiently to engage in strategic discussions about AI implementations - Proven ability to influence product direction and strategy based on customer needs - Excellence in stakeholder management across multiple levels, from technical teams to C-suite - Outstanding communication and presentation skills, with an ability to articulate complex value propositions to various audiences Strong candidates may have: - Experience working with venture capital firms or understanding of the venture ecosystem - Background in consumption-based/usage-based pricing models - Experience supporting customers through hypergrowth phases - Understanding of the AI/ML landscape and key trends - Track record of helping define commercial frameworks for emerging technology markets The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 - $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Claude is used across government, from US federal civilian agencies to national security, state and local, and allied international governments, and nearly every model and product Anthropic ships has public sector work on the end of it. Each of those segments runs under its own regulatory and deployment constraints, so delivering Claude to them means standing up compliant infrastructure with cloud partners, landing new models in restricted environments, bringing our application suite to parity with commercial, and clearing frameworks like FedRAMP, repeated for every segment. We're hiring a Technical Program Manager to own that program. Today that coordination is spread across the public sector product and engineering leads and the many teams they pull in: research, infrastructure, security, compliance, and product engineering. You'll become the single owner of that program, the person who knows where every workstream stands, what it is waiting on, and who needs to decide. Over time, government customers get new models and products on a predictable cadence, authorizations like FedRAMP run as a steady program rather than a one-off push, and each new segment takes less bespoke effort than the last. Responsibilities - Own the program for delivering new Claude models into public sector environments: sequencing, dependencies, and tradeoffs across research, inference and capacity, cloud partners, safeguards, and compliance teams - Drive FedRAMP and similar authorization programs for Anthropic's public sector offerings, working with privacy, security, compliance, and platform engineering - Plan and sequence work across public sector segments, from model and API availability to application parity and segment-specific product work - Represent public sector requirements in model launch planning alongside the launch TPMs - Establish the operating rhythm: a single view of workstreams, owners, dependencies, risks, and status, with planning, escalation paths, and launch coordination across orgs - Convert recurring efforts into documented, repeatable processes so that each new segment or model requires less bespoke coordination You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs - Have shipped software or infrastructure into regulated or restricted environments (government clouds, air-gapped deployments, FedRAMP or similar authorization frameworks) and can engage meaningfully with the infrastructure, ML, and security engineers doing the work - Have experience coordinating across multiple engineering teams and organizations simultaneously, including research, security, and compliance partners - Are highly organized and can manage multiple parallel workstreams effectively across distributed teams - Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations - Have excellent written and verbal communication skills, with the ability to influence without authority - Have worked on public sector, defense, or government cloud programs, or hold or are eligible for a US security clearance (preferred but not required) - Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to public institutions safely and reliably - Are a US person. We have agreements with the US Government that mandate this for these roles. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Supplier Security & Assurance (SSA) team sits within Security GRC and is responsible for assessing the security of our suppliers: evaluating whether vendors meet our security requirements, capturing the deviations, and giving the business a clear approval decision it can act on. We assess the vendor population a frontier AI lab actually depends on: SaaS and software, human data operations, compute and data center providers, hardware suppliers, and services firms. The program is designed agent-first so that people spend their time on judgment, remediation, and the vendors that matter most. As a member of the Supplier Security & Assurance team you will run supplier security assessments end to end: reviewing evidence, verifying agent-drafted evaluations, determining inherent and residual risk, and driving findings to closure with vendors and business owners. You will also carry the work that extends assurance past the approval, from contractual security terms and secure configuration baselines to continuous monitoring and reassessment, and you will help shape the tooling and requirements the program runs on. Key responsibilities - Run supplier security assessments: review agent-prefilled outputs, evaluate vendor controls and evidence, determine residual risk, route to domain reviewers where deeper assessment is warranted - Operate supplier issue management and risk treatment: document each finding with a severity, an owner, and a due date, drive remediation with the vendor and the business owner, record risk acceptances, and roll open issues up to the risk register - Run continuous monitoring after approval: reopen an assessment on defined triggers (data classification change, new SOC 2 report, new subprocessor, vendor incident), investigate SaaS configuration, data, and use case drift signals, and queue a reassessment where the vendor's scope has moved - Improve the program as you run it: identify gaps in coverage, questionnaires, requirements, and tooling that surface during assessments, propose the fix, and carry roadmap items that mature supplier security overall - Tune and maintain our Claude-powered assessment platform alongside the team: prompt development, questionnaire and assessment type design, calibration against assessor decisions, and output QA - Contribute to KPI and KRI reporting on coverage, cycle time, residual risk, open issues, and reassessments due Minimum qualifications - Experience running supplier security assessments end to end at a technology company: scoping the engagement, determining inherent risk, reviewing controls and evidence, documenting residual risk, and driving findings to closure - Working knowledge of risk fundamentals (inherent and residual risk, control effectiveness, compensating controls, risk acceptance) and the judgment to apply them when the evidence is incomplete or the answer isn't in a framework - Ability to assess a vendor across security domains, and to recognize which findings you can close yourself and which need a security domain specialist - Track record of driving risk treatment to closure through influence across teams with competing priorities - Experience building or tuning an LLM-backed workflow, agent, or automation in a risk, compliance, or operations context, including tuning prompts and reviewing model output for accuracy - Experience building or operating issue management workflows: logging issues with a clear owner and due date, tracking remediation, and escalating when treatment stalls - Working technical knowledge of SaaS security configuration (SSO and SCIM, admin scoping, sharing defaults, audit log export) and of standard vendor security contract terms (DPA, incident notification, subprocessors, audit and testing rights) - Ability to read a SOC 2 report or penetration test and turn it into findings: identify control exceptions and carve-outs, map complementary user entity controls, and judge what the evidence does and does not prove Preferred qualifications - Experience assessing cloud infrastructure, data center, or data-pipeline vendors - Experience supporting SOX, SOC 2, or ISO 27001 third party or vendor management controls - Experience assessing additional, more specialized vendor cohorts from a security risk perspective: human data operations or data labeling vendors, hardware suppliers, compute providers and neoclouds, and others - Experience with post-approval supplier continuous monitoring: configuration, data, and use case drift detection, shadow IT & SaaS detection, vendor incident management, or evidence-based vendor audits/site visits The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Engineering Manager, Labs About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP. We're seeking an Engineering Manager to lead and grow our team of software engineers working on early-stage AI capabilities. You'll create an environment where engineers can thrive in the inherently uncertain world of zero-to-one development while maintaining clear direction and psychological safety for the team. Success in this role requires exceptional people leadership, the ability to facilitate rapid learning cycles, and skill in helping teams navigate the natural ups and downs of early-stage exploration. You'll partner closely with designers, product managers, and research teams to transform emerging AI capabilities into potential products—and you'll need to be as comfortable shutting down projects that aren't working as you are championing the ones that are. Responsibilities - Lead and coach a high-performing team of software engineers through the complexities of zero-to-one development, creating an environment that rewards experimentation and learning over attachment to specific outcomes - Hire and develop a team of versatile, entrepreneurial engineers who thrive in ambiguity and can flex across problem spaces - Partner effectively with design, product, and research leaders to align on direction and execution - Create a balanced environment that encourages both creative exploration and rigorous evaluation of what's working - Help teams develop structured approaches to testing hypotheses, making kill decisions, and extracting learnings from both successes and failures - Facilitate effective collaboration between Labs engineers and research teams across Anthropic - Provide clear, actionable feedback and support engineer growth and development in an environment where projects shift frequently - Drive adoption of Labs' prototypes and learnings to inform company-wide product strategy - Represent the Labs perspective and roadmap in discussions with research, product, and leadership stakeholders - Maintain team stability and morale through the inherent uncertainty of early-stage work You may be a good fit if you - Have 5+ years of engineering management experience, with significant time leading teams in ambiguous, early-stage, or zero-to-one environments - Have a strong technical background as an IC prior to moving into management, ideally including startup or founding engineer experience - Excel at creating psychological safety and helping teams navigate uncertainty without burning out - Are skilled at facilitating decision-making rather than imposing solutions—you help your team develop good judgment - Can model the behaviors you want to see: comfort killing projects, strong opinions loosely held, bias toward action - Have experience building and retaining teams of generalists who can adapt as priorities shift - Demonstrate exceptional interpersonal intelligence and can guide teams through rapid pivots while maintaining trust - Have strong strategic thinking to identify high-potential research breakthroughs and viable paths to productization - Communicate effectively and can tell the story of Labs' work and impact to leadership and the broader company - Have a comprehensive technical understanding across full-stack engineering and modern product development, with familiarity in AI/ML concepts - Care deeply about responsibly pushing the boundaries of AI capabilities in service of Anthropic's mission Strong candidates may also have - Experience managing teams that work directly with research organizations or in R&D-adjacent environments - Track record of helping engineers grow in non-traditional career paths (where success isn't always tied to shipping features) - Experience with AI/ML products or working knowledge of large language models - Background in building teams from scratch or scaling early-stage organizations - Experience managing through organizational change or frequent strategic pivots What we're not looking for - Managers who've only succeeded with well-defined roadmaps and stable, long-term projects - Leaders who struggle to give critical feedback or make hard calls on underperforming projects or team members - Those who need extensive process and structure to be effective - Managers who are protective of their team's work rather than focused on learning and impact Candidates need not have - 100% of the skills listed above - Formal certifications or education credentials - Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Marketing Events Manager, International at Anthropic, you will own the execution of events across our international markets that drive pipeline, deepen customer relationships, and build Anthropic's brand and share of mind in markets where we're growing fast. You'll deliver a portfolio ranging from global flagship programs adapted for local markets to brand activations, executive dinners, roundtables, customer summits, and third-party events. This role sits on the Marketing Events Team, reports to the Head of International Events, and partners closely with International Sales, regional Field Marketing, Communications, Policy, Product Marketing, and Creative. You'll bring hands-on operational excellence and a strong eye for brand storytelling, turning plans into experiences that resonate with diverse audiences, from developers to enterprise executives to policymakers. As part of a small team building Anthropic's international events program, you'll help create the systems, processes, and playbooks that let it scale across regions. Responsibilities: - Develop and execute international events that deliver on brand objectives, regional sales priorities, and pipeline targets, while contributing to strategy that supports overall company goals - Plan and manage a diverse, multi-country portfolio spanning hosted flagship events, brand activations, industry conferences, and cultural moments - Adapt global event programs for international markets, working with the Marketing Events team so programs stay aligned with company-wide strategy while meeting local market needs - Work with Creative on event identities, spatial design, and experiential elements that bring Anthropic's brand to life, ensuring our presence is compelling and consistent across all touchpoints - Oversee event budgets, vendor relationships, and contract negotiations, ensuring strong ROI across the portfolio - Collaborate cross-functionally with Product Marketing, Policy, and Communications to align event messaging and maximize the impact of Anthropic's presence at industry moments - Build and maintain operational frameworks that keep quality and brand consistency high across regions: speaker and staff briefings, Know Before You Go documentation, and post-event reporting - Provide on-site leadership and logistics management, serving as the primary point of contact for all event operations during live experiences - Identify opportunities to innovate on event formats and experiences that differentiate Anthropic in the AI landscape You may be a good fit if you: - Have 8+ years of B2B event marketing and management experience, including brand-owned, technical, or innovation-focused events across EMEA and/or APAC, at a high-growth technology company - Have a proven track record of executing multi-country event programs that deliver brand impact, and measurable pipeline and revenue results - Have a strong portfolio of events, including brand events, that turn a company's values and positioning into memorable, on-brand experiences - Have experience activating at premium third-party events, including hospitality at high-end venues, sporting events, and cultural experiences - Are highly organized, with exceptional project management skills and the ability to run multiple complex events at once, often in different markets - Are a collaborative partner who builds strong relationships across International Sales, Marketing, and executive stakeholders - Have strong budget and vendor management experience, including local suppliers and multiple currencies - Have the cultural awareness and judgement to adapt events for different markets - Can operate in a fast-paced environment and maintain calm and effective leadership in high-pressure situations - Have strong data analysis skills to measure and report on event success metrics - Are comfortable with regular travel across EMEA and APAC (approximately 30%) Strong candidates may also: - Have experience with event technology platforms and meeting scheduling tools (e.g., Splash, Cvent, or similar) - Have worked closely with enterprise sales teams and understand the enterprise buying cycle - Have worked with creative teams and agencies on event identities, spatial design, and experiential elements - Have managed or mentored other team members - Have a genuine interest in AI technology and care about ensuring that transformative AI systems are developed safely The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £125,000 - £125,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.