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 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. Our goal is for Claude to close the loop on scientific discovery, and a significant part of this is helping Claude to drive scientific hardware and software. You'll help deploy the Model Hardware Standard (MHS) to labs doing the world’s most important research. You’ll scale what you learn in the field by contributing back to the standard, building scalable assets, and driving associated internal product and research direction. Responsibilities - Work with labs to automate their experiments end-to-end with Claude - from advising, to prototyping, to writing production code. - Drive product, engineering and research direction based on field experience - e.g. building evals to measure limitations of our models in the physical world (capabilities and safety), developing new features on MHS, etc. - Scale your impact to the long tail of labs through reusable cookbooks, documentation, and other assets. - Be an EMEA ambassador for Claude in the lab - you’ll both inspire and build trust with scientific audiences, from small settings to large conferences. - This role will require significant travel You Might Be a Good Fit If You Have - Hands-on experience connecting software to lab robots and instruments (liquid handlers, plate readers, scheduling software, LIMS), ideally in an automated lab. - Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance. - A scientist's instinct for how experiments work: you can spot what's worth automating, and where AI might fail or be unsafe in the physical world. - Experience working directly with external customers or partners in a technical role. - Clear written and verbal communication: you’ll write docs other labs can use without you and give talks that inspire and earn researchers' trust. - A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. 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 the leader of our Enterprise Asset & Wealth Management sales organization, you will build and lead a team that brings transformational AI to the world's leading asset managers, wealth managers, and private markets firms. These are organizations rethinking how they generate investment insight, serve clients and advisors, scale personalization, and meet fiduciary and regulatory obligations. They are looking for a partner they trust to take frontier AI from promising pilots into production at the core of their business. You will own a broad portfolio of major AWM institutions at very different stages of AI adoption, from firms already running Claude in production to those just beginning their journey. Your coverage will span global and regional asset managers, alternatives managers, and wealth businesses. You will lead Account Executives, design the coverage and territory model, and build the repeatable, AWM-specific plays that turn early wins into durable, scaled adoption across research, portfolio and client operations, advisor productivity, and compliance and supervision. The selling is technical and multi-stakeholder: platform decisions, model governance, security and procurement rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. You will shape strategy and operating rhythm while staying personally engaged with executives on the pursuits that matter most. This is a rare opportunity to build an organization, not just run a number: to shape how the asset and wealth management industry adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities - Define AWM go-to-market strategy and coverage design, including segmentation across asset managers, alternatives managers, and wealth platforms, territories, account prioritization, and vertical value propositions, and evolve the coverage model as the business scales - Recruit, coach, and retain Enterprise Account Executives with deep asset and wealth management and platform-selling expertise; develop leadership talent and create career paths that keep top performers growing - Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable across AWM, such as investment research and idea generation, portfolio and client reporting, RFP and due diligence automation, advisor productivity and client personalization, and compliance and supervision workflows, partnering with Marketing, Enablement, and partner teams to scale them - Engage personally with C-level and business-line executives (CEOs, CIOs, COOs, Chief Data and AI Officers, Heads of Distribution, and Heads of Wealth) on priority pursuits, building business cases and value narratives and navigating complex procurement, security, model-risk, and legal processes through to production deployment and expansion - Own the organization's revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate AWM needs, including fiduciary, books-and-records, and client-data requirements, into product and roadmap input - Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, cloud partners, and the data and technology providers that AWM firms rely on, to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications - Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms - A track record of winning and growing enterprise customers, including building C-suite relationships, in asset and wealth management (asset managers, alternatives managers, private banks, wealth platforms, or the technology and data providers that serve them) - Experience designing go-to-market coverage for an enterprise sales team, including segmentation, territories, and account prioritization - Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments - Credibility with technical buyers and builders, and with investment and distribution leaders: CIOs, CTOs, CDOs, Heads of AI/ML, Heads of Research, and Heads of Wealth or Distribution, plus experience pairing effectively with solutions architects and applied AI teams - Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities - A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications - Experience leading other sales leaders (second-line management), or demonstrated readiness to step into that scope - Experience building or meaningfully scaling a verticalized or multi-segment sales organization - Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers, wealth managers, or private markets firms - Familiarity with AWM use cases and buyers, such as investment research and portfolio analytics, client reporting and RFP automation, advisor and relationship-manager productivity, and fund operations and servicing - Deep familiarity with regulated-industry selling in AWM, including fiduciary and suitability obligations, SEC and FINRA expectations on supervision and books and records, model-risk management, client-data privacy, security review, and the governance expectations of financial institutions - Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators, as well as the data, analytics, and portfolio-technology vendors embedded in AWM firms - Familiarity with consumption- or usage-based commercial models and value-based pricing conversations - Experience leading organizations through rapid growth, re-segmentation, or significant change 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: $450,000 - $700,000 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 believes AI capabilities are improving rapidly, and that AI safety policy needs to keep pace. Our Policy Development team translates technical insights into workable new policy ideas for governing frontier AI. As a member of the Policy Development team, you will drive our work on technical and cross-lab safety practices, deepen our work on frontier AI legislation, and develop new technical governance ideas that you pressure-test with researchers and carry into policy proposals. You will work closely with policy colleagues and with research, alignment, safety, and legal teams, and you’ll move easily between technical detail and how policy actually gets made. Key responsibilities - Help develop technical safety best practices and standards for frontier development, working closely with policy, research, and safeguards teams - Support cross-lab discussions and initiatives and serve as the Anthropic representative in key standards initiatives and groups - Review and give substantive input on federal, state, and global frontier AI safety bills, including on risk reporting, independent evaluation, and incident reporting, helping shape AI safety legislation development - Work with our external affairs policy teams to strengthen our frontier AI legislative framework - Contribute research and analysis across the policy team’s pacing workstreams, including developing novel policy proposals that address challenges related to the acceleration of AI R&D - Engage with the external AI safety and governance community to track new thinking and feed it into our own - Write clear memos and briefings that help leadership align on decisions Minimum qualifications - Are fluent in frontier AI safety and technical AI governance: the main players, proposals, and debates - Can read legislative text and comment usefully on it - Have expertise in any of the following domains: loss-of-control, alignment, compute governance, independent evaluation, model weight security, risk reporting - Write clearly for researchers, leadership, and policymakers - Can pick up new technical topics quickly and translate them to the broader policy landscape - Are comfortable with ambiguity and can own a project end to end Preferred qualifications - Are excited about standards work, and also want to contribute across the wider technical governance agenda - Have direct experience in an AI governance or safety research organization or frontier lab - Have experience working closely with standards bodies or industry consortia - Have experience developing and shaping technical legislation - Have published novel policy thinking on AI governance 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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities - Design, build, and operate security controls for RL training systems and the infrastructure they run on - Work across the stack (orchestration, environments, training, inference) wherever the work is needed - Review designs and code across the RL stack, find security problems, and fix them - Build shared libraries and tooling that other RL engineers and researchers build on - Build the observability needed to understand what these systems are doing - Work with researchers and performance engineers to make sure security changes preserve training correctness and performance - Write clear design documents for what you build Minimum qualifications - Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go - Experience designing, building, and operating large-scale distributed systems or security systems in production - Strong understanding of security fundamentals - Working knowledge of Linux, containers, and cloud infrastructure - Experience debugging complex problems across many hosts and services - Ability to reason about tradeoffs between security, performance, and reliability - Strong written communication, including design documents Preferred qualifications - Experience running ML training or inference infrastructure at scale - Experience with infrastructure security, such as isolation, access control, networking, or identity - Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale - Experience building observability for large fleets - Experience supporting research teams or other fast-moving internal users - Familiarity with reinforcement learning or large language model training workloads 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 Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions. Responsibilities - Own demo readiness for new and priority Claude capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths - Build prototypes, agents, and reference flows that make complex capabilities concrete and tie them to clear customer outcomes - Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages that scale across customer-facing teams - Partner with GTM colleagues on high-impact customer moments, unblock critical technical gaps, and spot the patterns worth turning into shared assets - Build internal agentic systems that automate demo preparation, validation, and asset maintenance, so demos stay current as products change - Translate patterns from customer-facing work into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering - Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption - Decide when a customer need calls for a bespoke build and when it should become a shared capability You may be a good fit if you have - Proficiency in Python or TypeScript, with experience shipping working software end to end - Hands-on experience building applications or agents on top of LLM APIs, including prompting, tool use, and retrieval - Experience designing integrations with third-party APIs, data sources, and services - The ability to take an ambiguous capability or customer need to a working prototype quickly, and then make it reliable - Clear communication of technical concepts to both technical and non-technical audiences, including sales and solutions teams - Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams - Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role - A track record of building reusable internal tools, templates, or self-service assets that other teams adopted - Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins - Experience building evaluation or validation harnesses for AI systems, including reliability checks and graceful fallbacks - Experience building always-on or scheduled agentic systems that automate internal workflows - Experience building synthetic or sanitized datasets that make demos realistic without exposing sensitive information - Front-end or product design skills that help demos feel polished and intuitive - Experience supporting product launches or running launch-readiness programs - A history of turning field feedback into concrete product input that influenced a roadmap - A passion for making powerful technology safe and beneficial, and a commitment to representing model capabilities accurately and honestly 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 role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities - Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage - Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners - Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams - Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next - Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes - Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications - PhD in chemistry, computational chemistry, or a related field - Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth - Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models - Comfort navigating ambiguity and defining problems in a rapidly evolving research environment - Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications - Experience with reinforcement learning, large language models, or building evaluations and benchmarks - Track record of supporting drug discovery programs alongside medicinal and synthetic chemists - Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data - Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry - Hands-on synthetic or medicinal chemistry experience at the bench - Publications, patents, or open-source software demonstrating scientific impact 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: $300,000 - $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 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 are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities - Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development - Independently lead small research projects while collaborating with team members on larger initiatives - Design, run, and analyze scientific experiments to advance our understanding of large language models - Optimize and scale our training infrastructure to improve efficiency and reliability - Develop and improve dev tooling to enhance team productivity - Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications - Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field - Strong software engineering skills with a proven track record of building complex systems - Expertise in Python and experience with deep learning frameworks (PyTorch preferred) - Familiarity with large-scale machine learning, particularly in the context of language models - Ability to balance research goals with practical engineering constraints - Strong problem-solving skills and a results-oriented mindset - Excellent communication skills and ability to work in a collaborative environment - Care about the societal impacts of your work Preferred Experience - Work on high-performance, large-scale ML systems - Familiarity with GPUs, Kubernetes, and OS internals - Experience with language modeling using transformer architectures - Knowledge of reinforcement learning techniques - Background in large-scale ETL processes You'll thrive in this role if you - Have significant software engineering experience - Are results-oriented with a bias towards flexibility and impact - Willingly take on tasks outside your job description to support the team - Enjoy pair programming and collaborative work - Are eager to learn more about machine learning research - Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects - Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research - View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights - Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects - Optimizing the throughput of novel attention mechanisms - Comparing compute efficiency of different Transformer variants - Preparing large-scale datasets for efficient model consumption - Scaling distributed training jobs to thousands of GPUs - Designing fault tolerance strategies for our training infrastructure - Creating interactive visualizations of model internals, such as attention patterns 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: $500,000 - $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 RL 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 Fable 5.1 and Claude Opus 5.5. 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 implementing 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 We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: - Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization. - Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards. - Conduct experiments and shape our roadmap. - Deliver your work into research and production training runs. - Collaborate with other researchers and engineers across and outside Anthropic. You may be a good fit if you: - Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs. - Are fluent with industry EDA tools and processes. - Have taped out chips and have experience going from spec to silicon. - Know how to balance research exploration with engineering implementation. - Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: - Experience with reinforcement learning, evaluations or environments. - Built tooling or automation around chip design flows. - Worked on ML accelerators or high-performance compute hardware. - Familiarity with high-level synthesis or architecture simulators. 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: $500,000 - $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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect - A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers - Access to Claude models and GPU compute - Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you - Are motivated by making sure AI is safe and beneficial for society as a whole - Are excited to transition into working on empirical AI research full-time - Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) - Thrive in fast-paced, collaborative environments - Can implement ideas quickly and communicate clearly Strong candidates may also - Have experience authoring research papers in machine learning, NLP, or AI safety - Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: - Sara Price : leads the Alignment Training team; background in data science - Ethan Perez : leads the Alignment Science team; background in machine learning - Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) - Samuel Marks : leads the Scalable Oversight team; background in mathematics - Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics - Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) - Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience - Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain - Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment - Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. - Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. - Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. - Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. - Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. - AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming - Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning - Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics - Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. - Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. - Commitment: Full-time role for the duration of the residency. - Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits - Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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 - £375,000 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 the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities - Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development - Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines - Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude - Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows - Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements - Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work - Create technical content for startup audiences including documentation, tutorials, and sample code - Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells - Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have - Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need - 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research - Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly - Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events - A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, 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: $280,000 - $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 Resellers are a major route for organizations to buy Claude. Our reseller program runs across two motions: hyperscaler resale, where partners resell Claude through the cloud marketplaces (AWS Bedrock today, Google Cloud Vertex AI and Microsoft Foundry to follow), and direct resale, where partners resell on Anthropic paper through our own quote-to-order and billing systems. Each motion brings its own agreements, systems and cloud counterparts, and the program is expanding across regions at the same time. As our Resale Operations Lead, you will run resale operations: how resellers get authorized, transact, get reported on, get paid and get supported, across both motions and every live cloud. The resale business team sets the strategy and the commercial framework. You will build and run the processes, playbooks and team that put that framework into practice, and keep them reliable as volume grows. This is an operator and builder role, not a partner manager role. You will be hands-on in the detail of a private offer or a partner quote while you build the team, the vendor coverage and the Claude-powered automation that keep resale operations from growing in line with partner count. Reporting to Head of Partner Operations and Systems · San Francisco or New York based What you'll do - Lead the resale operations team: set priorities, coach the reseller operations managers, and keep every region on the same playbooks rather than a set of local processes. - Build the resale runbook and launch kit across AWS, Google Cloud and Microsoft, so that authorizing, onboarding and supporting a reseller works the same way wherever it can, and each new cloud comes online from the kit. - Run hyperscaler resale operations: marketplace authorizations and private-offer processing with the cloud alliance teams, and operational escalations with AWS, Google Cloud and Microsoft, raised through the cloud alliance teams. - Stand up direct resale operations: partner quotes in Salesforce CPQ, order forms, booking and provisioning, and commit tracking and true-ups, working with Deal Desk, Commercial Operations, Finance and Tax. - Operate the program rules as controls that can actually run: deal registration to the published policy, eligibility checks, margin and rebate data, and the unauthorized resale process. Flag early what cannot be operated yet. - Own the reseller transaction data, so that every reseller transaction traces to an end customer under the attribution rules Partner Strategy and Operations governs, partners are paid accurately and partner-sourced revenue can be measured. - Scale through vendors and Claude: propose which resale work moves to outsourced teams or to Claude, run the vendor team's resale scope to a stated quality bar, and build automations with human checkpoints where a wrong decision carries risk. - Run resale on a scorecard: application decision time, registration cycle time, attribution coverage, payout accuracy and launch readiness. Use it to tell the team and leadership what to fix next. What might make you a good fit - Channel, reseller, distribution or partner operations experience at a technology company, including managing a small team. - Hands-on depth in both motions: cloud marketplace resale (authorizations, private offers, deal registration) and direct or contract-based resale (quote-to-order, partner billing). - A track record of building a resale or channel operations process from an early stage and running it as volume grew. - Fluency in order-to-cash, including Salesforce CPQ or a comparable tool and the Finance, Deal Desk, Legal and Tax coordination that comes with it. - Experience managing outsourced or vendor teams: scope, service levels, quality sampling and performance feedback. - Sound judgment while the program is still moving. You can make the call with incomplete information, hold a control under pressure from sales or a partner, and keep the relationship intact. - A builder's mindset and clear writing. You use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it. Strong candidates may also have - Experience on the partner or marketplace side of a hyperscaler, or in operations at a major distributor. - Experience running partner rebate, margin or incentive operations, or launching a resale program in EMEA or APAC. - Familiarity with the Claude API, Claude Code or MCP. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Customer Marketing, Startups Lead to own our strategy for how Anthropic shows up in market with the startups building on Claude, from early-stage founders to our largest AI-native customers. You'll figure out how we can help startups grow, and find creative ways to amplify their stories to inspire more companies to do the same. This is a role for someone who has led marketing at a startup and knows what founders need. You'll work closely with our Startups account teams to decide where co-marketing will create real value for both the startup and Anthropic. For the startups we prioritize together, you'll work directly with founders and their teams as a marketing partner on channels and the joint messages we take to market. Many of these companies don't have big marketing teams yet, so you'll also advise them on storytelling and growth. This role is deeply cross-functional. You'll work with Startups Sales leadership, Startup Partnerships, Segment Marketing, Field Marketing, Partner Marketing, Product Marketing, Brand, Comms, and Legal. You'll set direction with senior leaders here and at our customers, and lead a team of startups customer marketers while staying hands-on in the work yourself. Key responsibilities - Own startups co-marketing, including deciding which startups and moments are worth investing in - Be a marketing partner to founders and CEOs on channels and joint messaging, and advise companies without built-out marketing teams on storytelling and growth - Partner with Startups Sales leadership and embed in the deal flow so you can see deals coming and plan how co-marketing can support them - Work with account teams on the market development funds (MDF) in startup contracts, and own how those funds are deployed - Build programs that bring co-marketing to hundreds of startups, beyond our top accounts - Set the bar for startup storytelling and find creative ways to amplify those stories, from case studies and founder films to content on how startups use Claude - Find opportunities to bring startups into Anthropic's launches and campaigns - Work with Startup Partnerships and Segment Marketing on the Claude Startups program and our relationships with VCs and accelerators - Build a feedback loop that shares what founders care about with Anthropic's leadership and GTM teams - Lead and develop a team of startups customer marketers Minimum qualifications - Have been a trusted advisor to founders and CEOs, and enjoy working closely with them - Know when co-marketing will create real value for both companies, and when it won't - Are a strong storyteller and writer who can tell what makes a founder's story worth telling - Have a deep read on what startups want, and can quickly see what will help a small marketing team most - Have led senior cross-functional work across Sales, Marketing, Product, and Comms - Can influence teams you don't own, and are comfortable presenting to executives - Have strong taste and judgment, and can say no, including to senior leaders - Are a player-coach, comfortable setting direction for a team and doing the hands-on work yourself - Are comfortable with technical products and can talk credibly with technical founders - Can keep up with a fast pace - Already use Claude in your own work - Care about Anthropic's mission Preferred qualifications - Have 12+ years in B2B marketing, including senior marketing leadership at a startup, like CMO, VP of Marketing, or Head of Marketing - Been a founder or an early marketing hire at a startup - Worked in AI, developer tools, or another technical category - Worked at a company that sells to startups - Built relationships with VCs and accelerators - A network of founders and startup marketing leaders - Run co-marketing programs with real budget behind them Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York offices at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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 - $400,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 funds delivery partners to help customers adopt Claude, through assessments, workshops, proofs of concept, and full delivery engagements. Our partner request process is the front door for all of it: an account executive (AE) requests partner support, and the request is checked against program rules and matched to a partner. Commercial is the program's highest-volume segment, and the one where a quick introduction and the right match matter most. Automation now drafts the first match and the introduction, and a vendor delivery team handles day-to-day follow-up and tracker updates. What's left is the work that needs a person sellers trust. You'll be the one Activations contact for US Commercial sellers once a request is in, from submission to a partner on a signed statement of work (SOW). Partner Sales Managers (PSMs) attach the partner and own the opportunity, and at their volume they move on to the next deal. You'll own the follow-through: matching and re-matching, getting AE and customer introductions to happen, handling exception requests, and working the special cases that don't fit the standard path. Decision rights are clear: the program lead sets program rules, targets, and exception policy; you apply them on Commercial requests, decide what the rules already cover, and bring the rest with a recommendation. We're looking for a partner seller or channel operator whom sellers and partners trust, who is comfortable owning a high-volume book, and who keeps following up until each request is closed. Success in this role comes down to three things: how quickly Commercial requests move from AE introduction to customer introduction and on to a signed SOW, whether sellers know exactly who to go to and get a straight answer, and whether exceptions are handled the same way every time. Key responsibilities - Serve as the single point of contact for the AE, the PSM, and the partner on every US Commercial request, from submission to confirmed SOW, so sellers deal with one person instead of several - Answer "Where is my request?" with the current status, the blocker, and the next step with a date, and keep each request's record accurate enough that the answer is already written down - Join the PSM pipeline and activation calls every week so requests don't slip between PSMs, and leave each call with an owner and a date on every open Commercial request discussed - Own the request and its follow-through within clear boundaries: the PSM owns the opportunity, partner attach, and getting the SOW signed; the partner manager owns the partner relationship; and you hand over cleanly to Partner Success once the SOW is confirmed - Confirm the first match that automation drafts from the partner bench, change it when it's wrong for the customer, and own the matching decision on Commercial requests; check that a partner has capacity before introductions go out, and spread work so no partner holds more open introductions than it can take - Re-match quickly when a partner declines, stalls, or is turned down by the AE, record the reason, and make sure the request has an owner in between - Review where Commercial matches are declined or lost, and turn repeat causes into changes to the matching rules - Follow up on automatically drafted introductions that an AE hasn't approved, and resolve what the escalation rules send to you; step in when a partner's booking of the customer introduction stalls, and work with the AE or their manager to unblock it - Run the regular review of aged Commercial requests, making sure each one has a recorded decision (introduction made, customer not ready, re-match, or close out) and a follow-up date - Track every Commercial request from partner named to confirmed SOW, publish the baseline for that stage, and remove the blockers that sit with Anthropic - Be the first stop for Commercial exception requests, including special order-form terms: resolve what the rules already cover, bring the rest to the program lead with the history, the blocker, and a recommended action, and log every exception consistently so approvals follow the agreed routing and can be audited later - Work through cases the standard path doesn't fit, such as small and medium business (SMB), insurance, and other segment-specific use cases, and write down how each type is handled so the next one is faster - Run tests of new funding programs, which start in Commercial, with sellers and partners, and report back what worked, what confused people, and what should change before a wider launch - Teach Commercial AEs and their managers how to request a partner, how one-click introductions work, and what the response rules are, so requests arrive complete the first time; make sure PSMs and partner managers know the stage targets, who to contact once a request is in, and how escalations work - Work with the activation systems and operations lead to turn repeat exceptions and repeat questions into rule changes or automation, so fewer requests need a person each quarter - Use Claude to prepare for pipeline calls, draft follow-ups, and summarize the state of your book, and propose the next manual step worth automating - Work US hours with a regular overlap window with the London-based program lead, and hand off cleanly so Commercial sellers have coverage across time zones Minimum qualifications - Experience in partner sales, channel, or partner operations in B2B technology - Experience working with services partners or systems integrators: matching them to customer work, judging fit and capacity, and holding them to commitments - Experience working alongside AEs and sales managers on live deals, and able to get a response from a busy AE while keeping the relationship strong - Sound judgment on exceptions: knows the difference between a case the rules already cover and one that needs a decision, and makes a clear recommendation on the second kind - Persistent, courteous follow-through with internal and external stakeholders, and doesn't let items slip past their deadline - Clear, concise writing: short messages people act on, and escalations that give the facts, the ask, and a recommendation - Comfortable with ambiguity and rules that change often: asks good questions, writes the answer down, and applies it consistently - Works comfortably with records and reports in Salesforce - Uses Claude or similar AI tools in day-to-day work Preferred qualifications - Experience as a Partner Sales Manager or in a closely related role - Experience using Claude specifically in day-to-day work - Experience with partner funding, market development funds (MDF), or co-sell programs - Experience with order forms and SOW workflows - Experience selling into SMB or insurance 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 - $215,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Pacing is Anthropic's work to make sure that, as AI capabilities advance, enough time and effort goes into making them safe. It covers the safety commitments we make and carry out ourselves, the public policy we develop and support, and the research and communication that help people understand how quickly AI is progressing and what that could mean. We're hiring a Technical Program Manager to run Pacing. It spans many projects led by people across Safety, Research, Policy, Legal, Communications, and Engineering, most of whom have other responsibilities too. You'll make sure each project has an owner, a clear outcome, and a date, and that leaders have high visibility and can make tradeoff decisions. You'll work closely with the team responsible for our Responsible Scaling Policy and support every project lead in delivering on their commitments. The questions and strategies relevant to this program will change rapidly as the frontier evolves. You'll need enough technical depth to drive discussions about model training, evaluations, and compute, and the judgment to identify which decisions belong with cross-functional partners and which you can make yourself. We're looking for a generalist who can ship quickly and iteratively and drive accountability towards high-level, ambiguous objectives. Key responsibilities - Own the Pacing program end to end, keeping one accurate view of projects, owners, milestones, dependencies, and gaps that drives action from leadership and project leads - Turn strategy from executive sponsors into scoped projects with measurable outcomes and timelines for execution, and drive concrete proposals to decisions - Run the operating rhythm, including working sessions with project leads, regular written updates, and effective executive reviews, and follow decisions and action items through to completion - Work with the Responsible Scaling Policy team and researchers to define the evidence and sign-off a model needs at key points in training and deployment, and make those reviews a dependable part of how we work - Track the public and internal commitments Anthropic makes on pacing, and sequence the work, publications, and events behind them with Policy and Communications - Partner with Legal throughout the lifespan of each project, and operate with high integrity on confidential and sensitive work - Define how progress is measured, report against it candidly, and recommend which projects and practices to continue, change, or stop - Use Claude to build automations to allow teams to have broader and deeper impact Minimum qualifications - Experience leading multiple complex technical programs that span organizations and involve engineering or research teams, from ambiguous goals through delivery - Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent projects - Technical fluency sufficient to identify risks and challenge tradeoffs in how frontier AI models are trained, evaluated, and deployed - Working knowledge of AI safety and the main debates about how frontier AI should be developed and governed - A track record of delivering through senior leaders and teams who don't report to you, including when it meant changing how they work - Experience preparing decisions for executives, including framing options, making a recommendation, and recording the outcome - Sound judgment and discretion with confidential and sensitive information Preferred qualifications - Experience at a frontier AI developer, a government AI institute, an independent evaluator, or an AI safety or governance research organization - Hands-on experience with frontier AI safety work, such as safety frameworks, safety cases, risk reports, model evaluations, or reviews of model training or deployment - Familiarity with how AI progress is measured, including compute, capability trends, and the use of AI to speed up AI research - Experience delivering programs that combine technical work with public policy, or that bring together experts from different organizations - Experience managing published commitments or high-visibility public releases - Experience building a program from zero and reshaping it as the strategy evolved 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: $290,000 - $365,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Singapore-based Public Policy expert to lead Anthropic’s policy engagement in Singapore and across the region. In this role, you will advance practical AI governance and support Anthropic’s commercial expansion by building strategic relationships with Southeast Asian government authorities, developing substantive policy positions and papers, and engaging in regular outreach to drive progress in AI policy and AI safety. You will draw upon established relationships with key policymakers and their staff to shape how the region approaches AI regulation and safety during a critical period of governance development. As part of this role, you will collaborate with a dynamic, geographically distributed policy team on a variety of projects, including analyzing policy proposals, drafting submissions to requests for public comment, planning and executing policy campaigns in Southeast Asia, and providing policy advice to technical colleagues. This is a foundational hire — you will be building Anthropic’s policy presence in Singapore and the region from the ground up. In this role, you will: - Conduct comprehensive mapping of key Southeast Asian AI policy stakeholders and build strategic relationships with government and regional multilateral officials, think tank researchers, and civil society leaders - Brief a diverse set of policy and research actors looking to better understand AI safety and AI policy opportunities in the Southeast Asia context - Convene diverse stakeholders and speak at policy events such as research announcements, discussion panels, or workshops on AI safety topics - Analyze emerging legislation and develop Anthropic’s engagement strategy, including preparing substantive policy submissions and response documents - Support senior colleagues in external engagements by preparing meeting briefs and taking action on follow-up requests - Develop new programming and generate opportunities for Anthropic to regularly engage with regional policymakers, think tanks, and non-profit organizations - Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities tailored to national regulatory environments - Develop and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy - Partner with non-profit organizations and academic researchers to publish discussion papers and policy memos on how to enable responsible AI research and development - Develop and execute a convening strategy, including workshops or panels that position Anthropic as a thought leader in AI safety and governance in Southeast Asia You may be a good fit if you: - Have 10+ years of professional experience in government, technology, legal, and/or other policy-relevant environments - Have a track record of effective, information-rich advocacy with the government of Singapore and other regional governments and multilateral organizations - Have experience analyzing legislation and engaging in regulatory processes - Are energized by agency — you will be the first policy hire in the region and will be building the operation from scratch - Enjoy drafting and executing complex policy campaigns that move the needle - Thrive when engaging with policymakers, civil society, and think tanks to translate complex technical topics into accessible and relevant information - Excel at translating high-level vision into executable operational plans - Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics - Are deeply curious about frontier technological research and are eager to work closely with technical colleagues to translate new discoveries into policy outcomes Preferred Qualifications: - AI/Technology industry experience heavily preferred - Experience working with international companies or organizations - Academic or think tank background in AI policy or related fields - Experience in both government and private sector roles 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 gives independent external evaluators access to our models, our people, and our safety practices so that they can assess risks, processes, and policies. We're hiring a Technical Program Manager to establish and deepen our partnerships with these external reviewers and embedded evaluators to support a thriving frontier evaluation ecosystem. You'll be the main point of contact for our existing partners, deepening our support so that they can work effectively and produce high-quality, rigorous, independent publications. You'll separately broaden the portfolio of organizations we are working with, managing the funnel from first conversation through contracting, onboarding, and day-to-day access, culminating in published reports. You'll evolve our current time-intensive manual processes into a system that can support many evaluators at once, working with teams across Safety, Research, Security, Legal, People Services, IT, Policy, and Communications. Within six months, you should be able to take a new evaluator from contract negotiation to first published report with minimal involvement from senior leaders. You'll need the technical depth to work out with researchers and engineers what access, tooling, and evidence an evaluation requires, and the judgment to resolve most questions quickly and escalate the few that need it, while balancing evaluators' need for access with Anthropic's requirements to protect its customers, its security, and its confidential information. We're looking for a generalist who can ship quickly and iteratively, and who earns trust on both sides. Key responsibilities - Own the external evaluator program end to end, including our relationships with evaluator organizations and the pipeline of future partners - Take each evaluator from first conversation through scoping, contracting, onboarding, access, and review to a published report - Define the stages and tiers of working with evaluators, and develop information access policies that meet evaluators' needs while protecting security and confidential information - Drive evaluators' access and information requests to fast, well-documented decisions in partnership with Research, Security, Legal, and IT - Drive the technical design of evaluator access with Security, IT, and infrastructure teams, including permissions, environments, and monitoring, and close gaps between policy and technical controls without slowing evaluators down - Run the review process for evaluator reports against agreed timelines and redaction criteria, while protecting evaluators' ability to publish their own conclusions - Scope evaluations with researchers and engineers, turning evaluators' questions about training, monitoring, and alignment into concrete requirements for model access, data, tooling, and compute, and planning capacity for each new evaluator - Turn evaluators' technical findings into research and engineering work with owners and dates, and drive accountability for how Anthropic responds - Keep the company informed with regular updates on how the program is going, and clear guidance on how to work with evaluators - Collect feedback from evaluators and internal teams, run retrospectives, and iterate on policies and practices - Use Claude and work with engineering teams to build the tooling the program runs on, such as access provisioning, request tracking, and report review - Support a thriving ecosystem of evaluators by sharing what we learn about running independent evaluation well Minimum qualifications - Experience leading complex technical programs with engineering or research teams, from ambiguous goals through delivery - Experience managing relationships with external organizations, including scoping work, navigating contracting, setting expectations, and resolving disagreements - Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent workstreams - Technical fluency in how frontier AI models are trained, evaluated, and monitored, sufficient to define technical requirements, identify technical risks, and challenge tradeoffs with researchers and engineers - Sound judgment and discretion with confidential and sensitive information 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: $290,000 - $365,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Partner Network is how partners build, sell, and deliver on Claude. Partner Support keeps them moving: getting set up, getting certified, registering their work, and understanding where they stand in the program. It runs in layers. Self-serve and an AI support agent handle what they can, an outsourced vendor team works the in-scope (L1) topics, and our specialists take the escalated (L2) cases that need judgment. As our Partner Support Operations Lead, you will run partner support end to end: the team, the operating model, and the systems behind every layer. Partner Programs sets program policy. You will build and run the service levels, knowledge, quality bar, and escalation paths that put that policy into practice, and keep them reliable as volume grows. This is a hands-on operator and builder role. You will be close enough to the queue to know why a case was hard or a rule broke, while you build the team, the vendor coverage, and the Claude-powered automation that keep support from growing in line with partner count. Key responsibilities - Manage the partner support team: set priorities and clear expectations, coach the Partner Support Specialists, address performance early, and expand the team if volume or coverage calls for it - Own the support operating model: the L1 and L2 boundary, severity definitions, service levels, and escalation paths; review misrouted and wrongly escalated tickets, and fix the rule as well as the ticket - Run the L2 queue to its service levels: coverage across shifts, one owner for every case, clean handoffs to the teams that hold the answer, and careful handling of sensitive and high-impact partner issues - Manage the support service line with our business process outsourcing (BPO) team: work with their leads day to day and hold a stated quality bar through training and sign-off for each new cohort, the QA rubric and calibration, the weekly operating review, and corrective action when quality or coverage slips - Own the knowledge layer: one source of truth for the help center, macros, and AI agent content, updated when a program change ships, so every layer gives partners the same answer from day one of a launch - Own the support platform: routing, conversation attributes, views, workflows, access, and service-level reporting; keep the taxonomy short, consistent, and reportable - Scale through self-serve, vendors, and Claude: use topic and outcome data to decide what moves to each, and build automations for tagging, routing, QA screening, and reporting; test them on real tickets and add human checkpoints where a wrong answer carries risk - Turn what partners ask into fixes: bring the recurring causes behind ticket volume to Partner Programs, Partner Business Systems, and other owners, and follow each one through until the tickets stop - Run support on a scorecard covering responsiveness, resolution, escalation accuracy, and quality, and use it to plan capacity and to tell the team, the vendor, and leadership what to fix next Minimum qualifications - Support operations experience at a technology company, including managing a small team - Experience running an outsourced or BPO support team: onboarding waves, service levels, QA rubrics, calibration, and performance feedback - A track record of building a tiered support model from an early stage and running it as volume grew - Hands-on depth in Intercom or a comparable platform (Zendesk, Salesforce Service Cloud): routing rules, attributes, workflows, reporting, and permissions - Experience running knowledge and content for an AI support agent, including how to review answer quality and close content gaps - Strong analytical instincts: able to read ticket data, find the cause behind a spike or a backlog, and turn it into a fix and a capacity plan - Sound judgment while the program is still moving: able to make the call with incomplete information, hold a policy line with a frustrated partner or an internal stakeholder, and keep the relationship intact - A builder's mindset and clear writing: you use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it Preferred qualifications - Support operations experience in a B2B, partner, or channel environment - Experience supporting a partner, reseller, systems integrator, or independent software vendor (ISV) program - Experience building support coverage across regions, time zones, or languages - Familiarity with Salesforce, and with the Claude API, Claude Code, or MCP 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions. Key responsibilities - Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes - Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize - Manage and develop a small team of Product Data Scientists - Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction - Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value - Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses - Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations - Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions - Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners - Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow Minimum qualifications - Have extensive experience in data science, including leading analytics for a growth or product area at significant scale - Have 5+ years managing data science teams, including setting team direction and developing senior data scientists - Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision - Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information - Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work - Communicate clearly in writing and in presentations, including to executive audiences - Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress - Care about the company’s mission of building helpful, honest, and harmless AI Preferred qualifications - Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling - Experience with targeting, personalization, or uplift models in production - Background at consumption-based, multi-product companies serving both consumers and enterprises - Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow 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: $460,000 - $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 products are growing fast in reach and complexity. Every new model, product, and channel brings problems no one predicted. We want to catch each issue as early as possible, get customers unblocked fast, and fix the root cause. The best experience is one where a customer never has to ask for help. We are building a Support Technology engineering team to solve what stands between a customer and Claude, whether they want to use it but can't or are unhappy with their experience. That covers individual users, businesses, and customers who reach Claude through partners. Our goal is a better product experience for everyone who uses Claude. We make it easy for customers to get help and talk to us, through Claude itself and via human specialists with the tools to solve their problems. We also determine why they needed help and fix the cause in the product. Billing is a good example. When a charge is confusing, a payment fails, or a plan doesn't unlock, a customer should be able to reach us and get it resolved in one conversation. Then we want to learn why it happened and change the product, whether that's the subscription flow, the payment error, or the invoice, so the next customer never has to ask. As one of the team's early engineers, you will set the technical direction and build the core systems behind this work. We expect Claude to handle more of each case over time, from diagnosing an issue to resolving it to flagging the product fix behind it. Success means customers run into fewer problems, get them truly solved when they do, and are happy with the help they receive, whether it comes from Claude or a person. This is a hands-on role with high leverage. You will write a lot of code and lead across teams, since many fixes belong to other product teams. You will partner with our Product Manager, the Product Support team, and product engineering teams such as Billing Platform. Key responsibilities - Improve the product experience at the root: Build agents that spot where customers keep getting stuck and find the root cause, then ship the fix or drive it with the owning team until customers stop running into the problem - Make our support agents reliable first responders: Build the tools, APIs, and safe, audited workflows our Claude-powered support agents use for common fixes, with evals, guardrails, and clean handoffs to people, and measure whether customers' problems actually get solved - Build the platform foundations: Create a reliable support platform that scales with our growth, including the experience and tools for customers and specialists, and the data that shows what customers are running into and whether our changes help - Support enterprise and partner channels: Extend support to business customers, admins, and partner-sold customers, including cases that start outside our own products - Raise the bar and build with Claude: Set standards for reliability, observability, testing, and rollouts, mentor engineers, and use Claude heavily in your own work Minimum qualifications - Deep backend and distributed systems skills, including APIs, data models, event-driven systems, and third-party integrations - Experience building production software, including technical lead roles on multi-team projects - Experience building systems where correctness, access control, and auditability matter - A clear vision for how capable models like Claude can improve customer support, and motivation to build it - Judgment about when to ship a simple fix and when to invest in a platform - Track record of leading without formal authority and getting other teams to own and ship fixes Preferred qualifications - 8+ years building backend or platform systems in production, including 3+ years leading large-scale, complex projects or teams as an engineer or tech lead - Experience building and improving customer-facing products with measurable impact - Experience with billing, payments, or subscription systems - Experience shipping LLM-based or agentic systems in production - Experience building with helpdesk or contact center platforms such as Intercom, Zendesk, or Salesforce Service Cloud - Experience building internal tools or platforms for operations teams such as support, risk, finance, or trust and safety - Experience building data pipelines for support or operations analytics - Full-stack experience, including web UIs for internal tools or customer-facing flows - Experience with enterprise features such as SSO, admin controls, or provisioning, or with partner and cloud marketplace integrations - Experience setting multi-year technical direction for an area and growing other senior engineers 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Account Manager for Japan, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Japanese enterprise market. You will work at the intersection of cutting-edge technology and Japan's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies. As a Partner Account Manager, you will focus on growing reseller business in Japan and achieving quarterly revenue targets through new customers and upsells. The position involves direct collaboration with partners and internal teams to overcome obstacles and implement growth strategies. Responsibilities include designing partner recruitment, enablement, and go-to-market plans, using a test-and-learn approach in ambiguous situations. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth. This role is critical to establishing and expanding our presence in Japan through the partner ecosystem, enabling us to serve Japanese enterprises at scale. You will be instrumental in building our channel strategy from the ground up in one of the world's most sophisticated technology markets. Key responsibilities Strategic Partner Management - Develop and execute comprehensive business plans with System Integrators (NTT Data, Fujitsu, NEC, Hitachi, etc.) and key resellers to drive mutual growth and revenue targets - Build and maintain executive-level relationships within Japanese partner organizations, navigating complex organizational structures and decision-making processes - Own the full partner lifecycle from initial engagement through long-term strategic alignment, including regular business reviews and QBRs - Plan and deliver partner-facing activities, such as training sessions, email campaigns, webinars, and joint events - Negotiate and structure partnership agreements including technical integration terms, resale agreements, and revenue-sharing models Business Development & Revenue Generation - Build and maintain relationships with reseller and distributor partners to drive new customer acquisition and upsell revenue - Collaborate with SI partners and resellers to identify, qualify, and close enterprise opportunities in key verticals (manufacturing, financial services, retail, telecommunications, life sciences) - Drive joint sales activities including customer workshops, seminars, proof-of-concepts, and strategic account planning - Track pipeline development, forecast revenue, and report on partnership performance metrics with detailed accuracy - Manage channel conflict and ensure healthy ecosystem dynamics between direct sales, SI partners, and resellers Enablement & Solution Development - Lead comprehensive enablement programs including technical training, certification development, and sales methodology alignment - Work closely with partner practices to develop joint solutions and industry-specific offerings tailored to Japanese market requirements - Coordinate with global product and engineering teams to ensure Japanese partner requirements and customer feedback influence our roadmap - Develop and maintain Japanese-language sales tools, technical documentation, and partner portals - Facilitate knowledge transfer between Anthropic and Japanese partner technical teams Go-to-Market Leadership - Design and execute joint marketing campaigns - Develop customer success stories and case studies that resonate with Japanese enterprise buyers - Partner with internal teams to localize global GTM strategies for the Japanese market - Represent the company at partner events, customer engagements, and industry conferences (CEATEC, Japan IT Week, etc.) - Identify and remove bottlenecks proactively by working with internal teams including Marketing, Sales, and Legal - Foster alignment across departments to ensure successful partner execution and performance Minimum qualifications - Experience in channel management, strategic alliances, or business development within the Japanese technology market - Proven track record managing relationships with Japanese System Integrators and/or technology resellers or similar - Deep understanding of Japanese enterprise sales cycles, decision-making processes, and business etiquette - Native or business-level Japanese and English language skills - Strong understanding of the Japanese IT landscape including cloud adoption trends, digital transformation initiatives, and regulatory requirements - Demonstrated ability to navigate complex partner ecosystems and manage channel conflict Preferred qualifications - 7+ years of relevant experience - Experience with enterprise software, cloud services, or AI/ML technologies in the Japanese market - Exceptional relationship-building skills with ability to establish trust and credibility with executives - Strong analytical skills with experience in business planning, forecasting, and performance measurement 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 International Infrastructure Accounting professional to join our Infrastructure Accounting team. Based in Dublin and reporting to the Head of International Infrastructure Accounting, you will execute day-to-day accounting for the leased and owned infrastructure supporting Anthropic's expansion outside the United States, i.e. the data centers, network infrastructure, and compute capacity underpinning our international growth. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing international infrastructure portfolio is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's international infrastructure portfolio, with an initial focus on leases, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842 for the US GAAP books, and carry those same arrangements through to the IFRS 16 or local GAAP books. You will partner closely with our central team to ensure global policies, processes, and controls are applied consistently as each new market comes online. Responsibilities: - Lead end-to-end accounting for Anthropic's international infrastructure portfolio — leased and owned, with an initial focus on leases — including monthly close, reconciliations, roll-forwards, and flux analysis - Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) and ASC 360 (capitalization, useful lives, impairment, and disposals) - Prepare the US GAAP to IFRS 16 and local GAAP adjustments for each international entity, and partner with our International Statutory Reporting team and external providers so the statutory accounts are accurate and filed on time - Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made - Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on - Apply global infrastructure accounting policies, processes, and controls consistently as each new market comes online - Help stand up the accounting foundations for each new market, i.e. entity and chart of accounts mapping, functional currency, intercompany flows, and lease system onboarding - Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around contract terms, asset receipt, deployment, and in-service dates - Collaborate with and mentor accounting professionals across the Infrastructure Accounting team - Serve as a key point of contact with external auditors and local statutory auditors on international infrastructure matters - Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum Requirements: - Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies - Are a qualified accountant (ACA, ACCA, CPA, or equivalent) with a bachelor's degree in Accounting, Finance, or equivalent practical experience - Possess strong technical accounting knowledge of ASC 842 and ASC 360, particularly as applied to infrastructure, data center, or compute-related arrangements - Have worked across both US GAAP and IFRS, and are comfortable owning the differences rather than handing them off - Have experience managing a significant lease or fixed asset portfolio in a high-growth environment - Demonstrate strong analytical abilities and comfort working with large, complex datasets - Have a track record of improving scalable financial processes in fast-moving environments - Have experience mentoring and developing accounting professionals - Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders - Communicate clearly and influence effectively across cross-functional partners and time zones - Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred Requirements: - Experience at hyperscalers, large compute consumers, data center operators, or telecommunications companies with exposure to infrastructure lease or asset structures (including colocation, dark fiber IRUs, GPU clusters, networking equipment, and data center buildouts) - Experience with lease accounting software and / or fixed asset subledger systems at scale - Experience with statutory reporting across multiple jurisdictions, including working with external providers and local audits - Experience supporting a US-headquartered multinational from a regional or European finance hub - SQL proficiency for querying and analyzing large infrastructure and accounting datasets - Background in Big 4 accounting or advisory services combined with industry experience - Experience with complex data center buildouts or hybrid cloud / on-premise environments - Knowledge of AI/ML infrastructure and associated cost structures - Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation - Proven ability to navigate ambiguity and drive results in rapidly changing 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: €140.000 - €170.000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Partnership lead, you’ll help drive our strategic growth with Google Cloud. You'll play a critical role in managing the relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem. You’ll be a part of a small team with an outsized scope - setting the strategy and rolling up your sleeves to execute it. You'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships. Responsibilities: - Develop and execute comprehensive GTM strategies for our GCP partnership, including co-selling motions, enablement programs, and joint business plans - Develop forecasting models, build pipeline, and set revenue targets for the partnership - Build and maintain cross-functional relationships across GCP - Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements - Create and implement scalable processes for partnership operations, including escalation management and reporting - Provide strategic market intelligence and competitive insights to inform product and business strategy - Design and execute sales plays and enablement programs - Participate in monthly business reviews with key stakeholders - Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: - 8+ years of experience, ideally including 2-4 years in a high-intensity, analytical role (investment banking, management consulting, or similar) and 4+ years in GTM at fast-growing technology companies - Deep understanding of enterprise cloud services and AI/ML market dynamics - Exceptional communication and relationship-building skills with both technical and business stakeholders - Proven ability to develop and execute successful co-selling strategies at scale - Excellence in strategy, business operations, and program management - Ability to thrive in a fast-paced environment, adapt to changing priorities, and balance strategic thinking with tactical execution - Experience working with technical products and translating complex capabilities into business value Strong candidates may also have: - Direct experience scaling GTM at a high-growth startup or leading enterprise sales or partnerships at a major technology company - Familiarity with large language models and their applications in generative AI - Previous experience working with cloud and large technology partnerships - Technical background in computer science, software engineering, data science, or related field - MBA or advanced degree in relevant discipline 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Product Manager in the Internal Products and Technologies organization, you'll own the experiences our sales teams use to configure, price, quote, approve, and close deals. You’ll partner with Engineering, Sales, Deal Operations, Finance, and Legal to shape how customers buy from Anthropic. You’ll balance a fast, simple seller experience with rigorous governance. Responsibilities - Deeply understand sellers, Deal Desk, Legal, and Order Management workflows and how tooling can improve their impact. - Own product strategy and roadmap for quoting, approvals, and deal execution, using AI wherever it makes the experience meaningfully better. - Partner with engineering to design and ship the systems behind quoting, pricing, and approvals, and own adoption as well as launch. - Make prioritization calls across competing stakeholder needs. You might be a good fit if you have - 8+ years in product management, including ownership of complex internal or enterprise products. - Experience building or scaling CPQ (configure, price, quote), pricing, or approval systems for complex enterprise deals. - Experience shipping AI-powered workflows that people relied on in production. - Experience with products where financial controls and auditability matter. - A record of resolving conflicting priorities across functions without direct authority. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. Part of that footprint is the radio spectrum around and inside each site: what transmits there, what listens there, and what the equipment itself gives off. You'll be the engineer who owns that domain end to end: on-site RF monitoring and detection, technical surveillance countermeasures (TSCM) and emanations security, from the threat basis through the systems that make the spectrum observable, to sign-off before a site opens. The engineering is in the monitoring and in the tooling that proves the controls hold: the sensors, receivers and their placement, the site baselines, and the detection logic that turns a rogue transmitter or an unexpected emitter into an alert an analyst trusts. External specialist partners do the hands-on sweep and measurement work; you write the scope, direct them on site and decide whether their report stands. The goal is security that runs itself: coverage, sensor health and evidence verified continuously, with tools and AI agents doing the routine triage. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including its physical security systems engineers and the engineers on its security monitoring platform, with Anthropic's data center operations, construction and legal teams, and directly with site operators and landlords. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities - On-site RF monitoring and detection: design and develop the monitoring at each site: sensor, receiver and antenna selection and placement, the spectrum monitoring architecture, site RF baselines and what keeps them current, and detections that reach the team's security monitoring platform as alerts analysts keep trusting - Tools, automation and AI agents: build the detection and classification tooling, the instruments and software for checks between sweeps, the findings and evidence records behind them, and the agents that triage alerts and watch sensor health. When a review keeps costing people time, you build the tool or agent that retires it - Technical surveillance countermeasures: own TSCM end to end: sweep cadence by space sensitivity, event-driven triggers such as fit-out, room turnover or an incident, scope and acceptance criteria per sweep, and findings handled with evidence and closure an assessor accepts - Emanations security: set the posture for sites: the assessment method, zoning and separation, and shielding, filtering and protected cabling where warranted, written into the team's design and build standards so a site can build to them and an assessor can verify them - Wireless and device policy by zone: detect which radios are actually present where (cellular, Wi-Fi, Bluetooth, IoT, trunked radio) and produce the evidence that the policy holds on the floor - Specialist partners: write the scope and the deliverable standard for sweep and assessment work, direct it on site, and decide in the acceptance review whether a report stands - New sites and leases: carry RF and emanations requirements into design reviews, lease terms and pre-opening reviews, and sign off RF and emanations, including the pre-opening sweep and assessment, before a site opens Minimum qualifications - Have built at least one RF monitoring or detection system end to end, from receiver and antenna choice through the software that turns captures into alerts - Understand RF at the engineering level: propagation, modulation, spectrum analysis and antenna behavior, with hands-on use of the instruments that measure them, such as spectrum analyzers and software-defined radios - Have planned and conducted TSCM sweeps yourself and can explain, from having done the work, what a sweep can and cannot find and how an adversary would get past it - Have done RF security, TSCM or emanations work hands-on for data centers, critical infrastructure or a large hardware fleet - Read and review code, design the data systems behind detection and monitoring tooling, and build automation (often with AI coding agents) using Git and code review - Understand compromising emanations and what zoning, shielding and filtering each buy and cost, and write requirements for them that a construction team or a landlord can build to and an assessor can test - Direct a specialist vendor without deferring to them: write the scope, check the work, reject a weak report Preferred qualifications - Experience assessing compromising emanations and shielding or filtering tradeoffs in a live facility, and applying a formal emanations or counter-surveillance standard, government or commercial (TEMPEST, ICD 705 style construction requirements, or a corporate equivalent) - Have built signal classification or spectrum analysis pipelines at scale, or tuned RF detections for a security operations workflow so operators kept trusting them - Familiarity with airspace or drone RF detection, and with where it stops and on-site monitoring starts - Experience at sites you did not fully control: colocation or multi-tenant facilities, where the RF environment and the walls are not yours alone - Have built AI agents or automation that replaced recurring manual security 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: $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. As one of our principal privacy engineers, you will be among Anthropic's most senior individual contributors on privacy. You will set technical strategy for how personal data is handled across products, research, and infrastructure, and execute the hardest parts of delivering it. You'll work at the intersection of privacy engineering, distributed systems, and AI safety, on problems without established answers. You will lead through influence, quality of thinking, and trust rather than formal authority. Key responsibilities - Define and drive technical strategy and architecture for major areas of privacy, spanning product surfaces, research and training data, internal tooling, and multiple clouds - Identify and lead the highest-complexity, company-critical privacy initiatives, guiding engineers across many teams. Be comfortable building the most difficult pieces yourself - Architect the primitives that make privacy the default and the safe path the fastest one: data discovery, classification, lineage, purpose-based access control, audit, retention, deletion, and export - Turn regulatory, contractual, and consent obligations (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into enforced, continuously verified technical controls in partnership with Legal, Policy, and Compliance team - Anticipate where AI capabilities, regulation, and customer expectations are heading, and position our systems ahead of them - Mentor and develop staff and senior staff engineers, raise the bar for privacy design across engineering, and help hire senior privacy talent - Represent Anthropic's privacy engineering to customers, regulators, standards bodies, and the research community Minimum qualifications - A track record of operating as a Principal engineer or equivalent: setting technical direction that multiple teams adopted, and delivering company-critical, multi-year initiatives - Deep experience applying privacy engineering principles in production systems with a large user base, including privacy by design, data minimization, and purpose limitation - Experience architecting data governance infrastructure (classification, lineage, access control, retention, or deletion) across distributed systems and cloud infrastructure at scale - Proficiency in Python, Go, or similar languages; you are effective writing design docs, making architectural calls, and coding in critical paths - Understanding of privacy regulations such as GDPR and CCPA, and the ability to work as a peer with legal and policy experts to turn requirements into technical designs - Written and verbal communication that builds alignment across engineering, research, legal, and product teams, up to senior leadership Preferred qualifications - Experience building privacy infrastructure or controls for machine learning or AI systems, including training data governance or AI agents - Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation) - Experience establishing or re-architecting a privacy engineering practice under enterprise-customer or regulatory scrutiny - Experience briefing executives, auditors, regulators, or enterprise customers on privacy risk, and defending your recommendations under challenge - A history of growing engineers into Staff-level and more senior roles - Contributions to open-source privacy tooling, privacy research, or industry standards 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: $485,000 - $625,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Transaction Principal for Australia at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Australian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems in the region — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Australia market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution. Responsibilities: - - Lead the RFP and commercial sourcing process for Australian data center deals, managing developer outreach, proposal evaluation, and competitive selection - Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships - Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure - Serve as project manager for cross‑functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution - Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status - Develop and maintain transaction timelines, tracking critical‑path items and proactively identifying risks that could impact deal closure - Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms - Manage complex digital infrastructure development activities to a construction‑ready state, through a developer or directly - Marry the right projects, capital stacks, and developers at the right stages - Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint in region - Partner with the Compute Markets Manager to prioritize sites and counterparties, and feed deal learnings back into Australia market strategy You may be a good fit if you: - Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement - Possess a proven track record of managing complex, multi‑stakeholder transactions from sourcing through execution - Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements - Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously - Have experience with RFP processes and competitive sourcing for large‑scale infrastructure or real estate transactions - Have experience working in or with Australian markets, with knowledge of the local real estate and development landscape - Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives - Can operate effectively in fast‑paced, ambiguous environments where processes are being built alongside execution - Demonstrate exceptional communication skills and can coordinate effectively across time zones with HQ‑based teams and external partners It's a bonus if you: - - Have experience with data center or hyperscale infrastructure transactions specifically - Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield‑on‑cost, cap rates, development fees) - Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity - Have worked with legal teams on complex lease negotiations or infrastructure agreements - Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the Australian context (NEM, grid connection) - Have relationships within the Australian data center developer and broker ecosystem - Have a background in corporate development, strategic partnerships, or infrastructure investment - Have experience in high‑growth technology companies managing infrastructure expansion 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Japan is one of our fastest-growing partner markets, and partner demand for training and certification is ahead of our capacity. You will be our in-market enablement owner for Japan. You will take the global programs built by our Curriculum, Certification, and Applied AI teams and make them work for Japanese system integrators, from global integrators with large Japan practices to regional and specialist firms, so their teams can confidently sell and deliver Claude. You work as the Japan extension of the SI Enablement Lead, in close partnership with the Japan Partner Account Managers (PAMs). The PAMs own the commercial relationship, the joint business plan, and executive alignment. You own readiness: what ready looks like for practitioners inside Japanese SIs, and the path that gets them there. What you will do - Serve as the enablement counterpart to Japan SI alliance, practice, and L&D leaders, working alongside the Japan PAMs. - Build and execute a readiness plan for 3-5 regional priority partners (based on leadership priorities), while guiding the rest through scaled offerings. - Define what ready means for an individual practitioner in a Japanese SI (demonstrated skill, not course completions), building on Partner Enablement’s global competency framework and adapting role definitions to how Japanese SIs staff and organize delivery teams. - Partner with the training team on the instructor-led portfolio, bringing the right training to market with localized delivery partners. What this role does not own - Partner relationships. Japan PAMs own the commercial relationship, joint business plan, pipeline targets, and executive alignment. - Building curriculum and certification. The Training & Curriculum and Certification teams build these once, centrally. You activate them in Japan and bring back what needs to change. - The external training delivery bench. Delivery partners run the sessions. You partner with them and the training team to bring the right programs to market. - 1:few or one-off enablement. The focus is on repeatable, 1:many programs. Qualifications - 5+ years in partner enablement, technical training, partner programs, or alliances in Japan, ideally with or inside Japanese SIs or a hyperscaler’s Japan partner team - Working knowledge of how Japanese SIs build, staff, fund, and certify a technology practice - Experience delivering or coordinating workshops, instructor-led training, or certification programs - Experience building enablement as a repeatable program, with some tiering of coverage (hands-on for priority partners, programmatic for the rest) - Ability to define and track outcome measures beyond attendance and completions - Credibility with partner practice, alliance, and L&D leaders - Self-directed, comfortable prioritizing independently and working with a manager in a different time zone - Excellent program management skills, a systems mindset, and comfort operating in ambiguity - Strong presence in front of an audience - Native Japanese and fluent business English Preferred - Experience with Claude or other LLM platforms - Experience with a hyperscaler certification program in Japan - A background localizing technical content - Existing relationships at Japanese SIs - Experience working with training vendors or an authorized training partner model 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Agent Security's mission is to safely increase how much of the world's work agents can do, starting inside Anthropic. Claude now writes and ships code, runs experiments and acts on people's behalf, for hours at a time. How much more it can take on depends on how safely it can operate. If, in the worst case, an agent misbehaves, Anthropic and the public may bear the consequences. Our mandate is to mitigate this risk, and Anthropic’s mission depends on it. The Partnerships team pairs security engineers with the teams at Anthropic that build Claude, build agents and rely on agents. Those teams are our partners. When a team wants its agents to do more, we threat model the plan with them and build the controls together. Most of this has no playbook, so we have often created new controls from first principles. The ones that work become part of our toolbox, spread to other teams, and in some cases ship in our products. We're hiring an Engineering Manager to lead this team of security engineers. This is first and foremost a people leadership role. Few have secured agents at scale, especially at a frontier lab, so we don't expect you to have done it. We do expect you to have led security engineering teams, and we care most about how you lead people and reason about security. This role operates at the frontier. Each model generation, and each new harness, brings new challenges. The number of teams building on agents keeps growing, and partner teams won't always agree with your calls. In return, you will have the chance to directly contribute to making transformative AI go well, which is the heart of our mission. Key responsibilities - Hire, mentor and grow senior and staff security engineers, and raise the bar as the team scales - Set the team's investment strategy, deciding which teams get embedded engineers, and for how long, as demand outgrows the team - Support the team through high-stakes safety and security calls made under uncertainty and on tight timelines - Balance long-term investment in shared controls against partner teams’ immediate asks - Deliver large security migrations across all of Anthropic - Work through difficult tradeoffs with partner teams in ways that build trust and understanding Representative Projects In the past, the team has: - Invented a new kind of classifier-based control for agents partnering with an internal team to develop and roll it out - Co-built a sandbox with a product team, choosing what to enforce first so that adoption stuck - Defined the security standards for running agents across the company and partnered with many different teams on how to hit these standards Minimum qualifications - Excellent people management skills. You've hired, developed and managed senior and staff engineers, grown engineers into staff or lead roles, and kept a team delivering through changing priorities. - Deep security management experience. You've managed security engineering teams and answered to executives for risk and tradeoffs. - Strong written and oral communication skills. You've explained hard tradeoffs to executives and to engineers in plain words. - Resilience, emotional awareness, low ego and high empathy - Experience leading large migrations and highly cross-functional work - A willingness to dive into the details to tie-break complex trade-offs without any clear answer, and the ability to stand by these decisions Preferred qualifications - Experience embedding security engineers with product, infrastructure or research teams, or running a security partnerships team - Agent security or AI/ML security experience - Familiarity with AI safety concepts and research - Leading in hypergrowth 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. https://job-boards.greenhouse.io/anthropic/jobs/4669581008 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 Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: - Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments - Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities - Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. - Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows - Collaborate to translate experimental requirements into production-ready infrastructure - Develop large scale data pipelines to handle advanced language model training requirements - Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: - Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems - Are a strong communicator and enjoy working collaboratively - Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads - Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale - Have proven track record of building large-scale data pipelines and distributed storage systems - Excel at diagnosing and resolving complex infrastructure challenges in production environments - Can work effectively across the full ML stack from data pipelines to performance optimization - Have experience collaborating with other researchers to scale experimental ideas - Thrive in fast-paced environments and can rapidly iterate from experimentation to production Strong candidates may also have: - Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) - Background in building infrastructure for AI research labs or large-scale ML organizations - Knowledge of GPU/TPU architectures and language model inference optimization - Experience with cloud platforms (AWS, GCP) at enterprise scale - Familiarity with VM and container orchestration. - Experience with workflow orchestration tools and experiment management systems - History working with large scale reinforcement learning - Comfort with large scale data pipelines (Beam, Spark, Dask, …) 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: $350,000 - $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. À propos du poste En tant que responsable du déploiement technique au sein de l'équipe Claude Agentic Solutions, vous aurez pour mission de fournir des solutions d'agents d'IA personnalisées aux entreprises clientes dans des secteurs hautement réglementés. Vous serez responsable d'engagements à forte valeur ajoutée dans le cadre de collaborations directes avec les clients en vue de créer et déployer des agents dans leurs processus métier les plus critiques. Vous ferez partie de l'équipe fondatrice : à ce titre, vous nous aiderez à élaborer des manuels techniques et à définir les processus et les modèles répétables nécessaires pour faire évoluer cette dynamique émergente. Vous assurerez le support de notre mission sur le terrain, assurerez une prestation de classe mondiale et ferez régulièrement part de vos observations à nos équipes en charge des produits et de la recherche. Vous serez responsable des engagements de bout en bout, du cahier des charges au lancement de la production. Vous travaillerez en collaboration avec les ingénieurs déployés sur le terrain qui conçoivent la solution technique, tout en prenant en charge la portée des produits, la gestion des parties prenantes, la mesure de la valeur et la complexité organisationnelle liée au déploiement d'agents IA dans des environnements d'entreprise. Vous devez posséder des compétences techniques suffisantes pour mener des discussions sur l'architecture avec les parties prenantes du secteur de l'ingénierie et suffisamment d'aisance pour présenter des exposés aux dirigeants dans le cadre de leurs missions. Responsabilités - Gérer le planning technique de livraison pour chaque engagement. Structurer les cahiers des charges en précisant clairement le champ d'application, les étapes, les dépendances, les critères de réussite et les hypothèses de valeur. Traduire les objectifs commerciaux du client en feuille de route séquencée que les FDE exécutent. - Superviser la découverte technique : cartographier les flux de travail clients, identifier les contraintes, définir le périmètre MVP et façonner l'architecture de la solution pour les déploiements d'agents personnalisés. - Diriger l'exécution et la livraison des travaux d'ingénierie au quotidien au sein des équipes d'Anthropic et des clients. Assurer l'avancée des projets de manière fluide et séquencée. Effectuer des compromis en temps réel sur la portée et la priorité afin de préserver le chemin critique. - Garantir la portée des produits pour les missions sur le terrain : d éfinir le MVP, rédiger la documentation des exigences, prioriser le backlog d’ingénierie et gérer le périmètre par rapport aux critères de succès à mesure que les exigences évoluent. Prenez en charge la relation client tout au long de la livraison. Organiser des briefings exécutifs, gérer les communications avec les parties prenantes concernant les responsables techniques et l'approvisionnement et représenter Anthropic auprès des hauts responsables commerciaux et techniques en termes de crédibilité technique. Maîtriser la mesure de la valeur et du ROI : définir les hypothèses d'impact, établir les bases de référence et les indicateurs clés de performance, effectuer des mesures avant et après le déploiement et communiquer les résultats aux commanditaires exécutifs. Codifier des modèles de solutions réutilisables, des cadres d'évaluation et des manuels techniques. Consigner les bonnes pratiques des différentes interactions et transmettre les signaux du terrain aux équipes Produit et Recherche afin d'améliorer notre plateforme et nos modèles. Naviguer dans la complexité des entreprises et des réglementations : audits de sécurité, approbations juridiques, processus d'approvisionnement, exigences de conformité et dynamique organisationnelle. Gérer la portée et le changement : gérer l'évolutivité des exigences, définir les attentes, négocier les modifications de contrats, identifier les risques en amont et les signaler avec un contexte clair, le cas échéant. Gérer les opérations de livraison : cérémonies de sprint, revue des étapes et rapports d'avancement. Se rendre sur les sites des clients pour nouer des relations, débloquer les livraisons et accélérer l'adoption (objectif de 25 à 50 %). Profil recherché - Pus de 5 ans d'expérience en leadership technique auprès des clients. Cela peut concerner la gestion de l'engagement technique, la gestion de programmes techniques ou la gestion de produits techniques, les fondateurs/startups, les profils techniques connexes, les services professionnels, le conseil ou les logiciels d'entreprise. - Avoir mis en production des solutions agentiques basées sur l'IA, le ML ou le LLM. Vous comprenez les modèles applicables aux solutions, les approches d'intégration et les réalités du terrain. - Vous êtes capable de mener des discussions sur l'architecture avec les parties prenantes de l'ingénierie, d'évaluer les compromis techniques et de tester les décisions techniques sous pression. Vous n'écrirez pas de code de production, mais serez responsable de la direction technique des engagements aux côtés des ingénieurs déployés sur le terrain (FDE). Vous avez une expérience de la réalisation de projets techniques complexes et à fort enjeu pour des entreprises clientes, dont les résultats dépendent d'une coordination étroite et d'une prise de décision rapide, idéalement dans le cadre d'activités multiples au sein de secteurs réglementés. Vous avez une personnalité affirmée : vous êtes à l’aise, crédible et capable de représenter Anthropic auprès des hauts dirigeants dans des environnements à forts enjeux. Vous surmontez les contextes ambigus et apportez une structure là où il n'y en a pas. Vous avez une mentalité de bâtisseur : vous êtes ici pour créer une fonction, pas pour l'occuper. Atouts supplémentaires - Expérience dans le domaine des services financiers, des soins de santé, des sciences de la vie ou de l'industrie pharmaceutique. - Expérience dans une société d'ingénierie déployée sur le terrain ou dans des sociétés de services professionnels et de conseil. - Compréhension exceptionnelle des capacités et des limites des LLM. - Expérience avec les industries réglementées et les exigences de conformité. - Expérience de la gestion d'équipes de livraison avec des ingénieurs intégrés sur les sites des clients. - Familiarité avec les frameworks d'agents IA, les modèles d'utilisation d'outils et les architectures d'orchestration. About the Role As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities - Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. - Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. - Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Own product scoping for field engagements: d efine the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve. - Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. - Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. - Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. - Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. - Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. - Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting. - Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected). You May Be a Good Fit If You - Have 5+ years of customer-facing technical delivery leadership — this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software. - Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. - Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. - Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries. - Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. - Thrive in ambiguity and bring structure where none exists. - Have a builder's mindset — you're here to create a function, not join one. Strong Candidates May Also Have - Experience in financial services, healthcare/life sciences, or pharmaceutical verticals. - Background at a Forward Deployed Engineering company or professional services and consulting firms. - Exceptional understanding of LLM capabilities and limitations. - Experience with regulated industries and compliance requirements. - Experience managing delivery teams with embedded engineers at customer sites. - Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Revenue Strategy & Operations partner for Australia and New Zealand, one of our most established markets in Asia-Pacific, you'll work with our ANZ sales leadership to plan and run the business, from the market's largest enterprises and government agencies to its fastest-growing technology companies. You will be the trusted advisor to our sales leaders on how the business is planned and run: where we invest, how we cover the market, and how we read performance in a consumption business, while building the operational foundations to scale. Much of the work you will do yourself, hands-on. This role suits a structured thinker who is comfortable with ambiguity: you will often start from an open question, turn it into a clear recommendation, and get leaders who don't report to you aligned behind it. You'll work closely with Strategy & Operations peers in Singapore, Japan, Korea and India, with global Revenue Operations and Finance, and you'll use Claude every day to do the work of a much larger team. This is a senior individual contributor role. You'll report to the head of Revenue Strategy & Operations for Asia-Pacific, who is also based in Sydney, work day to day alongside our sales leaders and team, and spend regular time with customers and colleagues across Australia and New Zealand. Responsibilities Go-to-Market Strategy - Lead annual and quarterly go-to-market planning for Australia and New Zealand with sales leadership and Finance: set targets, territories and sales capacity, and own the trade-offs behind them. - Set how we segment the market and design territories across enterprise, public sector, digital natives and startups, and keep books balanced as the team grows. - Align leadership on coverage and investment (which industries and accounts get named sellers, what we cover through partners and self-serve), and revisit the call as the business grows. - Shape how we go to market with cloud marketplaces, systems integrators and resellers (co-selling, partner pipeline and joint planning), alongside our partnerships team. - Give sales leadership an independent read of the business (consumption, pipeline and performance by segment), with the risks, the opportunities and a recommended course of action, early enough to act on. Rhythm of the Business & Regional Leadership - Own the operating rhythm for Australia and New Zealand (weekly forecast and pipeline reviews, monthly and quarterly business reviews), and make it the place where decisions get made, not where reports get read. - Represent the market with Revenue Operations, Sales Enablement, Finance, Marketing and Partnerships; keep its plans aligned with Asia-Pacific and the company, and bring back what works elsewhere. - Advise ANZ and Asia-Pacific leadership through planning sessions, performance reviews and leadership updates. Own the narrative, not just the numbers. - Influence without authority: bring structure to ambiguous problems, build the case, and drive decisions across teams you don't manage. Operations & Global Programs - Own the market's commercial governance (account and territory decisions, rules of engagement, planning inputs, data standards), working through our global Revenue Operations team, who own the CRM and sales systems. - Land global programs, processes and tools in Australia and New Zealand, and be the market's voice back to headquarters when something needs to change. - Keep the commercial engine running smoothly across the long, multi-stakeholder sales cycles typical of enterprise and government buyers. You may be a good fit if you have Required qualifications - 8-12 years of experience in B2B SaaS, cloud or enterprise software, including several years leading sales strategy, revenue operations or commercial go-to-market work as the advisor to a sales leader, ideally in Australia or New Zealand - Structured thinking: a track record of taking ambiguous, open-ended problems and turning them into options, a recommendation and a decision - Analytical depth: you can get from raw data to a recommendation yourself, and you know which three numbers a leader needs to see - You have owned annual planning, territory design, quota setting and business reviews for enterprise sales teams - Hands-on with Salesforce and data (reports, dashboards and your own analysis); you use the systems yourself rather than administer them - Presence and judgement with senior sales leadership and C-level stakeholders, including the confidence to give an unwelcome recommendation, and a record of getting decisions made across teams you don't manage - Comfortable operating in ambiguity and at pace; you can build the process while running it - A record of advising regional leadership on go-to-market strategy and getting the organization behind it - Based in Sydney Strong candidates may also have - Experience in a consumption or usage-priced business (cloud infrastructure, data or AI platforms): planning and forecasting on usage, not bookings alone - Management consulting experience (strategy or operations work), ideally combined with time in an operating role - A track record of scaling sales organizations through 3x+ growth periods in B2B software - Go-to-market experience with the Australian public sector (federal and state), or with partners and cloud marketplaces in Australia and New Zealand - Experience in Chief of Staff or Business Operations roles supporting regional leadership - You already use AI tools hands-on in your own work 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 There are close to a billion knowledge workers in the world, and only a small fraction of them have worked with AI that makes them better at what they do. In the enterprise, reaching the rest depends on the IT, security, and business leaders who decide whether to adopt AI, and the admins who decide how it's deployed, governed, and scaled across their organizations. They ask hard questions before they say yes, and this role owns how we answer them. We're looking for a Product Marketing Manager to own positioning for Claude's core knowledge-work products (Chat, Cowork, and the broader non-coding suite) for enterprise decision makers and admins. You'll work across the areas that matter most to enterprise customers today: security and observability, workspace management and deployment controls, and pricing and packaging. You'll own the materials that help a decision maker or admin understand what's possible, roll Claude out with confidence, and make the case internally, including product launches, the website, pitch decks, battlecards, persona narratives, pricing and packaging story, and admin communications. Beyond making the case for adopting AI, you'll help the people accountable for deploying it do that safely, and show them exactly how to put it to work across their organizations. This is an individual-contributor role for someone who loves the hands-on work of product marketing, on products with enormous, established usage and a fast launch cadence. You'll write the positioning doc, build the battlecard, and ship the persona work yourself, and you'll use Claude to keep it all current, so the teams that depend on it can trust it. This role is for you if you've owned the full product marketing stack for a widely used enterprise product and know how to speak credibly to business, IT, and security audiences. You probably also turn your own PMM work into systems rather than one-off documents, and you want your writing to be the reason enterprise decision makers and admins say yes to rolling out and scaling Claude. Key responsibilities - Define the story that earns enterprise trust. Own the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products for admins, so every deck, campaign, and piece of content makes the same case for adopting and scaling Claude. - Own the story for how enterprises run Claude. Lead positioning and launches across security and observability, workspace management, and the controls for managing deployments, working with Product to turn new capabilities into clear reasons to adopt and expand. - Give sellers the conviction to close. Build and maintain the sales enablement assets (pitch decks, battle cards, objection handling) that help GTM answer security, deployment, and pricing questions with confidence. - Help decision makers and admins make the call. Own the proof points, comparisons, and narratives that help decision makers, admins, and their IT and security teams evaluate Claude and justify the investment and rollout internally. - Make our pricing and packaging easy to understand and buy. Partner with Product, Finance, and GTM on how we present plans, pricing, and packaging for Claude Enterprise, and build the cost and value story that helps customers make the case to scale. - Make sure the message reaches the right person, in their language. Develop ICP and persona frameworks that cover a varied base of enterprise decision makers and admins (executive buyers, IT, security, compliance, and workspace owners) in enough detail to shape messaging and campaigns for each one. - Make our website answer buyers' questions. Own the website and product page messaging for Claude Enterprise, including how we present admin controls, security, governance, and plans and pricing. It's often where a buyer or admin decides whether to take a closer look. - Turn scattered wins into a playbook others can run. Build libraries of top enterprise deployment and admin use cases by product and by function or industry, so the best examples of successful rollouts become patterns anyone can copy. - Prepare admins for what's next. Partner with Product and Comms on enterprise launches so admins know what's changing, what controls they have, and what to do next, through clear admin communications, help content, and ongoing education. - Keep every team telling the same story. Partner closely with GTM, Marketing, and Partners so they're always working from current, consistent materials. - "Claudify" our own foundations. Use Claude, including Skills and automations, to build systems that keep positioning, messaging, personas, and enablement current, so you're working the way we ask our customers to work. - Support analyst relations. Contribute materials for the enterprise knowledge-work portfolio where they overlap with your positioning and messaging work. Minimum qualifications - Have owned positioning and messaging for an established enterprise software product, with decision makers and IT, security, or admin teams as a core audience - Have worked on enterprise pricing and packaging, including how plans are presented, how changes are communicated, and how the value story holds up with buyers - Have built ICP and persona frameworks and translated research into messaging that works across websites, collateral, campaigns, and content - Have built sales enablement assets and worked directly with sales teams on objection handling and win/loss analysis - Understand how enterprises evaluate, buy, deploy, and govern software, including identity and access, security and compliance review, data governance, observability, workspace management, and usage and spend controls - Have strong writing and storytelling skills, with the ability to make technical topics clear and adapt tone and complexity across formats like pitch decks, web copy, battlecards, and admin communications - Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team - Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment - Are well-versed in using AI, especially Claude, to inform and automate product marketing work, and have built systems that update PMM foundations and share them with the teams who depend on them - Have experience marketing AI or productivity software to enterprise decision makers and IT, security, or admin audiences Preferred qualifications - 7+ years of product marketing experience with experience as a Senior PMM or PMM Lead at an enterprise productivity, collaboration, or knowledge-work software company with ownership of admin, security, platform, or pricing positioning - Experience marketing to customers in regulated industries (e.g., financial services, healthcare) - Experience building admin education or community programs - Experience with analyst relations processes and reports (e.g., Gartner, Forrester) - Experience with usage-based or consumption pricing 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 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Design lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, and animations. We're making Claude the best visual storyteller there is, lowering the floor so anyone can bring an idea to life, and raising the ceiling on what the most skilled creators can make. We work on Artifacts in Claude, and so far we've shipped new kinds of artifacts like Claude Design, Slides, and Motion, and we are exploring new bets. We're looking for Software Engineers to help build and shape Claude Design and the creative capabilities of Claude. This is a craft-heavy, product engineering role: you'll create the canvas, real-time editing, design-system inference, and AI-driven generation experiences that make AI-generated design feel like a tool people reach for first, not a demo. You'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next. You'll join a small, fast-moving team with high autonomy. If you're a strong design engineer who loves building visual products and likes to sweat the details, we'd love to hear from you. Key responsibilities - Build and ship user-facing features across our products, and help decide which creative spaces we explore next - Set technical direction for these products, including editor and canvas architecture, real-time collaboration, and rich import and export - Own the quality bar for how these products look and feel, treating latency, responsiveness, and reliability as first-class concerns and raising user experience and design considerations early - Partner with researchers to rapidly prototype experiences around vision and generation capabilities, and help improve the quality of what Claude generates - Spend time with users and dig into how people actually use what you ship, then turn what you learn into what we build next - Build the shared foundations that let us launch new creative tools quickly and make them work well together Minimum qualifications - Strong design sensibility and a high bar for craft, including attention to interaction details, motion, and polish - Strong full-stack engineering skills, including production frontend and backend work on user-facing web products - Ability to thrive in ambiguity and be energized by uncertainty - High agency, good judgment about what matters, and a bias toward shipping - A deeply user-centric approach: you validate ideas with actual users before over-investing and talk about problems before solutions - Strong opinions held loosely: you advocate forcefully for ideas but change your mind based on evidence - Care for Anthropic's mission and the societal impacts of your work Preferred qualifications - Extensive experience working with or building visual collaboration and creative tools - Experience with UI and UX for AI-powered applications, and fluency collaborating closely with designers - Deep frontend expertise in canvas rendering, complex editor UIs, design-system tooling, or graphics work, such as WebGL, shaders, 3D, or animation - Experience with real-time, collaborative applications, such as multiplayer editing and WebSockets - Background conducting user research, interviews, and usability testing - Experience building and shipping products from 0 to 1 - Experience building product platforms, primitives, or shared foundations that other products and teams build on top of - Performance optimization experience, such as profiling, improving rendering, and tracing end-to-end latency 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Partner Account Manager ANZ you will help manage and execute the partnerships that accelerate Claude adoption, unlock new capabilities and drive outcomes for our joint customers across Australia and New Zealand. You will own a defined set of named partners end to end — a mix of (a) in-country ANZ practices of our global system integrators (e.g. Accenture, Deloitte, Cognizant) and consulting houses (BCG, McKinsey), where you work hand in hand with the GSI alliance owners who hold the global relationships, and (b) regional system integrators, consultancies and AI-native boutiques that ANZ enterprises and the Public Sector actually consume delivery services from. The ANZ partner book is split between you and the Head of Partnerships ANZ & ASEAN; for every partner assigned to you, you own the plan, the enablement path, the co-sell motion with our ANZ sales team and the partner-sourced, partner-influenced and partner-delivered pipeline that results from it. This is a builder role: partner-sourced pipeline in ANZ is still a small fraction of our open pipeline, and there is a first playbook but no established machine. We need someone who has taken partnerships from zero to a repeatable revenue engine in this market before, not someone who has inherited and administered an existing partner book. Key responsibilities - Partner development and execution: - Run each partner as a structured pursuit: stakeholder map (country lead, AI/data practice lead, alliance lead, key account partners), joint account plan, agreed target accounts and a quarterly cadence. - For your assigned GSI country practices: activate the ANZ teams against the global frameworks and translate them into concrete joint accounts. For your assigned regional SIs / boutiques: build the relationship from scratch (selection, onboarding into the Claude Partner Network, enablement, first joint deals). - Guide partners in building repeatable Claude offerings (Claude Code / agentic engineering rollouts, agentic use cases, enterprise adoption programs) for the priority ANZ industries: financial services and insurance, public sector, retail, energy and resources, healthcare, telco, media and tech, and digital natives. - Drive co-selling with the ANZ AEs, Applied AI and Technical Success teams: introduce partners into the right accounts, bring partner-sourced opportunities to sales, and make sure every partner-attached deal is tagged correctly in Salesforce. - Performance and KPI ownership: - Own and drive the KPIs for your portfolio: Partner delivered use-cases, partner-sourced pipeline, partner-influenced pipeline and revenue, consultants enabled and certified, partners progressing through CPN tiers, joint proposals submitted. - Establish clear success metrics with each partner and drive regular business reviews against targets - Report on partnership health, progress, and commercial outcomes with data-driven insights - Every deal that runs through your partners must be set up for customer success and expansion: agree success criteria for joint accounts, make sure the partner delivers implementation and adoption support, and feed what you learn back into our partner program and the ANZ sales team. - Market development and brand building - Represent Anthropic in the ANZ partner ecosystem — partner events, joint customer events, and partner-led marketing. - Adapt the global partner playbook to ANZ buying behaviour (a concentrated enterprise market of banks, miners, retailers and telcos, federal and state government panels, long procurement cycles, and a preference for local delivery partners) and decide deliberately what not to copy. - Navigate the regulatory and sovereignty topics that come up in almost every ANZ deal (the Australian and NZ Privacy Acts, APRA CPS 230 and CPS 234, IRAP and government security requirements, critical infrastructure rules, data residency, and regulated industries such as banking, insurance and health) together with the partner and our internal experts. - Build differentiated joint value propositions with partners so that Claude is the default recommendation of the ANZ consulting ecosystem. You may be a good fit if you have: - Builder mentality — comfortable starting from a small base and turning it into a scaled partner business; you enjoy doing the work yourself. - 7+ years of partner / alliances / channel experience with system integrators and consultancies in ANZ, ideally at a cloud, data or AI platform company. - Existing relationships in the ANZ practices of the large SIs and/or with the regional consultancies and boutiques — you know who runs the AI and data practices in Australia and New Zealand. - Data-driven, KPI-oriented and comfortable being measured on partner-sourced pipeline; a track record of driving incremental revenue through partners in ANZ. - History of protecting the customer experience and the brand through partners — you say no to partners that cannot deliver. - Competitive drive — obsessed with winning and creating differentiation - Collaborative — you work as an extension of the ANZ sales team and with Applied AI, Technical Success, partner marketing and the global GSI alliance owners. - Strong executive presence; able to run partner executive conversations and enablement sessions. - Based in Australia, ideally Sydney; Melbourne or Brisbane are feasible with regular time in Sydney. Willing to travel regularly within Australia and New Zealand, and occasionally to Europe and USA. - Passion for AI and alignment with Anthropic's mission of beneficial AI development 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control 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 continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team will drive. Within Security GRC's technical controls assurance function, you will be a hands-on senior contributor on what the IT general controls must achieve to support SOX 404 compliance. You will work as a peer to Internal Audit's IT SOX team: Internal Audit tests independently, and you define the control requirements, monitor that controls operate, and make sure evidence is audit-ready before Internal Audit and our external auditors test it. You will pair with Engineering, Security, IT, and Finance as they design and implement against those requirements, and validate that what ships actually meets the bar. You will also work with GRC engineering to automate evidence collection and continuous monitoring, starting with ITGCs and extending into other areas of security and compliance. This role reports to the Head of Security Controls Assurance and is well suited to someone who wants to stay close to the work and change how a frontier AI company builds its compliance infrastructure. Key responsibilities - Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system. - Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide before go-live, and assess SDLC controls for new system implementations and changes so controls are not retrofitted after the fact. - Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and keep a clear view of which changes alter the SOX scope, key control population, or evidence requirements. - Perform second-line monitoring and readiness testing. Test key ITGCs and IT automated controls (ITACs) ahead of Internal Audit and the external auditors, including walkthrough preparation and validation that populations are complete and accurate, and support the move from manual to automated control reliance. - Build continuous monitoring and evidence readiness with GRC engineering. Stand up automated evidence collection and monitoring for ITGCs, map controls to the common controls framework, and materially raise automated evidence coverage while cutting audit prep time. - Run system and process risk assessments. Identify control gaps in in-scope systems and processes, and recommend remediation that engineering owners can act on. - Drive control deficiency remediation with cross-functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing. - Support the external audit with Finance and Internal Audit. Prepare walkthroughs, evidence requests, and testing schedules on management's side, and keep the line clear between your monitoring and Internal Audit's independent testing. - Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, assess their impact on control design, evidence requirements, and engineering effort before commitments are made. - Maintain alignment with the broader compliance portfolio. Support the controls and evidence behind SEC cybersecurity disclosure requirements. You may be a good fit if you - Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts. - Have been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies. - Have hands-on IT audit or IT SOX experience designing, testing, and documenting controls across access management, change management, and operations. - Have hands-on engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits. - Have deep familiarity with developer platforms, release engineering, cloud infrastructure, or ERP/financial systems control domains. - Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors, and can work independently on complex workstreams while keeping senior stakeholders informed. - Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet. - Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on. - Default to getting the requirement designed into the system rather than papering over the gap with procedure. Strong candidates may have - A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order. - 12+ years of hands-on IT audit and SOX compliance experience. - Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit. - Experience at a pre-IPO or newly public technology company. - Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines. - Defined or assessed controls for AI/ML systems or agents acting in production environments. - Stood up continuous controls monitoring or automated evidence programs. - Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls. 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: $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's enterprise market. You'll own the full sales cycle from prospecting to close, working with C-level executives at major Japanese corporations to help them transform their businesses with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across Japan - Build and execute territory plans, identifying high-value opportunities in key Japanese industries including financial services, healthcare, technology, and manufacturing - Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver customized solutions for complex enterprise requirements - Identify new use cases and contribute to Japan go-to-market strategy, providing critical feedback to shape product roadmap and regional approach - Translate technical AI capabilities into compelling business value propositions tailored to Japanese market needs You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - Native-level Japanese fluency and business-level English required - A track record of managing complex sales cycles and securing strategic deals in the Japanese market by understanding multifaceted technical requirements and crafting tailored solutions - Demonstrated ability to navigate Japanese enterprise stakeholder ecosystems, building consensus through relationship-building and providing innovative solutions to disparate groups - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders in Japanese corporate environments - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills in both Japanese and English, with the ability to present confidently and build connections across all customer levels, from individual contributors to C-level executives - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to assessing Japanese markets combined with creative, tactical execution to capture opportunities in key industries - Deep understanding of Japanese business culture, enterprise buying processes, and regulatory landscape - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Strong candidates may have: - Experience selling emerging technologies (AI/ML, cloud platforms, or data analytics) to Japanese enterprises - Established relationships with senior executives at major Japanese corporations - Experience navigating Japanese procurement processes and working with system integrators - Understanding of AI/ML concepts and ability to discuss technical architectures What We Offer - Competitive base salary and commission structure commensurate with experience - Equity participation - Comprehensive benefits package - Hybrid work model with flexibility - Opportunity to shape the future of AI adoption in Japan - Access to cutting-edge AI technology and world-class research 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 How do we know whether a model is safe - and how do we know whether the systems we built to catch misuse actually catch it? Anthropic answers both questions with evaluations. We measure model behavior across misuse, prompt injection, and user well-being to inform training and deployment decisions. We also use AI to investigate potential misuse of Claude, analyzing real-world traffic to surface bad actors and emerging threats that drive enforcement actions. Neither is worth much unless the evaluations behind them are representative, robust, and trustworthy. This role builds the methods and infrastructure that make them so. Sitting at the intersection of applied ML research and engineering, you'll design experiments to improve how we evaluate both model behavior and the agentic systems that govern it, build datasets that represent real abuse rather than clean approximations of it, and ship those methods into the pipelines that gate model training, agent changes, and launch decisions. Responsibilities Evaluation research and methodology. Design and run experiments to improve evaluation quality — developing methods to generate representative test data, simulate realistic user behavior, and validate grading accuracy. Research how different factors (multi-turn conversations, tools, long context, user diversity) impact model safety behavior. Analyze evaluation coverage to identify measurement gaps, and evolve evals so they remain unsaturated and high-signal as model and agent capabilities advance. Agentic investigation evals. Build and own the evaluation harness for an agentic investigation system — defining metrics, test cases, and grading approaches for a complex, long-horizon agent. Measure agent performance end-to-end (detection precision and recall, investigation quality, robustness) and drive hill-climbing on the hardest harm areas. Construct RL environments to improve Claude's safety investigation capabilities. Datasets grounded in real harm. Construct high-quality eval datasets representing real-world misuse across harm areas such as cyber attacks, bio weapons, and influence operations, drawing from both real traffic patterns and synthetic generation. Collaborate with Policy and Enforcement to translate observed harm patterns into measurable evaluations. Productionization and tooling. Ship successful research into evaluation, regression, and release pipelines that run during model training, on every agent change, prompt update, and underlying model upgrade, and beyond launch. Build tooling that enables policy experts to author, run, and iterate on evaluations without engineering support. Surface findings to research and training teams to drive upstream model improvements. Minimum qualifications - Experience building and maintaining data pipelines - Experience working with LLMs and a working understanding of their capabilities and failure modes — especially agentic systems with tool use and multi-step reasoning - Strong data analysis skills — you can draw reliable insights from large datasets - Ability to move fluidly between research prototyping and production-quality code - Ability to translate ambiguous problems into concrete, testable experiments - Care deeply about AI safety and want your work to have real impact Preferred qualifications - 8+ years of industry software engineering or ML engineering experience - Expertise in building or contributing to LLM or agent evaluation frameworks, benchmarks, or automated grading systems - Extensive experience in trust and safety, content moderation, or abuse detection systems - Experience in red teaming, adversarial testing, or jailbreak research on AI systems - Experience with synthetic data generation or data augmentation - Experience with distributed systems or large-scale data processing - Experience with prompt engineering or building LLM-powered applications 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Research Scientist, Discovery (Engineering & Applied Sciences) About the Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. About the role On the Discovery team at Anthropic, we're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required. Key responsibilities - Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences - Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows - Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data - Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work - Research how models can learn efficiently from experiments and real-world feedback. - Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned - Scale research ideas from prototype to production training runs - Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal - Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities You may be a good fit if you have: - Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX - Hands-on experience training or evaluating machine learning models - Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results - Ability to implement your own research ideas and diagnose problems in complex systems - Ability to learn unfamiliar technical fields quickly and work productively with experts in them - Clear communication and a collaborative approach to solving problems - Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology - Commitment to developing AI that is safe and beneficial Strong candidates may also have: - Experience with reinforcement learning and pre-training on large language models, including environment and reward design - Familiarity with large-scale language model training, evaluation, and inference pipelines - Published research or practical experience in AI for science or engineering, or in long-horizon reasoning - A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation - Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data - Experience with large-scale data pipelines and technical or multimodal datasets - Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing 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: $350,000 - $500,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities - Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region - Advance research collaborations that answer country- or regional-specific economic impact questions - Translate research insights into actionable recommendations for policy discussions - Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis - Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region - Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios - Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection - Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications - PhD in Economics - Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning - Demonstrated experience working in, and relevant relationships across, the region - Proficiency in Python, R, SQL, or similar tools for large-scale data analysis - Demonstrated ability to lead complex research projects from conception to publication - Demonstrated ability to communicate technical findings to diverse audiences - Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications - Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation - Experience working with novel datasets and measurement systems - Comfort learning new technical tools and frameworks - Strong interest in ensuring AI development benefits humanity - Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects - How Australia Uses Claude: Findings from the Anthropic Economic Index - Anthropic Economic Index Report: Economic Primitives - Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption - Estimating AI productivity gains from Claude conversations - The Anthropic Economic Index 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments. You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement. This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now. Responsibilities - Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against. - Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDEs. - Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Own product scoping during delivery. Author requirements, prioritize the engineering backlog, manage scope against success criteria, and hold the bar for what good looks like for the people and enterprises who will use the product. - Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. - Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. - Contribute reusable delivery patterns. Capture what works on your engagements and feed field signal to the Programs Leads, Product, and Research. - Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. - Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. - Run engagement-level delivery operations: sprint ceremonies, milestone reviews, and engagement reporting that feed the team's post-sales cadence and dashboards. - Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected). You May Be a Good Fit If You - Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. - Operate like the CEO of your engagement. You take initiative without a mandate, make decisions with incomplete information, and lead rather than wait for instructions. - Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. - Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.). - Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. - Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making - ideally across multiple workstreams in regulated industries. - Have executive presence - polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. - Thrive in ambiguity and bring structure where none exists. - Have a builder's mindset - you're here to create a function, not just join one. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 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. Key responsibilities - Partner with account executives across South Korea 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 across South Korea 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 across South Korea. You will need to be able to run 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 across South Korea 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 to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Minimum qualifications - Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Native-level Korean fluency and business-level English required - 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 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 Preferred qualifications - 5+ years of relevant experience - 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 Deadline to apply: None. Applications will be reviewed on a rolling basis. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 the Applied AI 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 . 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, 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: - 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer - 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. À propos du rôle Anthropic construit l’équipe Applied AI pour aider les organisations les plus ambitieuses du monde à adopter Claude de manière transformatrice, sûre et durable. Nos Forward Deployed Engineers s’intègrent directement auprès de clients stratégiques pour déployer des applications d’IA en production qui résolvent de véritables problèmes métier. À mesure que cette pratique se développe, nous avons besoin d’une personne leader pour construire et développer cette équipe. En tant que premier Forward Deployed Manager en Europe du Sud, vous piloterez l’équipe qui se situe à la frontière du déploiement d’IA en entreprise. Vous recruterez et développerez une équipe performante de Forward Deployed Engineers, fixerez le standard technique et opérationnel pour les engagements clients, et construirez les playbooks qui transforment les succès ponctuels en modèles reproductibles. Vous travaillerez en étroite collaboration avec les Engagement Managers qui gèrent la logistique de livraison et les relations avec les parties prenantes, tout en veillant à ce que votre équipe livre du code de qualité, se développe techniquement, et représente Anthropic au plus haut niveau dans les environnements clients. Ce rôle est un rôle de meneur-contributeur avec une forte orientation leadership. Vous resterez assez impliqué dans le travail technique pour examiner les architectures, déboguer les problèmes en production, et vous associer à votre équipe quand cela compte — mais votre impact principal viendra des personnes que vous recruterez, des standards que vous fixerez, et de la culture que vous créerez. Vous collaborerez de manière transversale avec les équipes Ventes, Produit et Ingénierie pour façonner la manière dont Anthropic sert ses clients les plus stratégiques, et les insights de terrain de votre équipe influenceront directement la direction produit. Ce rôle nécessite quelqu’un qui s’épanouit dans l’ambiguïté et qui est énergisé par la création à partir de zéro. Vous définirez ce que l’excellence ressemble pour la gestion d’une équipe FDE chez Anthropic — il n’existe pas de playbook existant à suivre. Responsabilités - Recruter, développer et fidéliser une équipe de classe mondiale de Forward Deployed Engineers. Fixer un haut standard pour le talent technique et l’instinct client. - Mener des entretiens individuels réguliers, fournir du mentorat technique, et investir dans la progression de carrière de chaque membre de l’équipe. Créer un environnement où les Forward Deployed Engineers accomplissent leur meilleur travail. - Staffier et superviser les engagements clients dans le portefeuille de votre équipe, en prenant des décisions d’allocation des ressources qui équilibrent les besoins clients, le développement de l’équipe, et les priorités métier. - Collaborer avec les équipes de compte et les Engagement Managers pendant le processus de pré-vente pour qualifier les engagements, définir le périmètre du travail, et informer les demandes de travail. - Examiner les architectures techniques et le code produit par vos Forward Deployed Engineers, en veillant à ce que l’équipe livre des solutions production de haute qualité qui résolvent de véritables problèmes clients. - Rester assez impliqué pour diriger des sessions de découverte technique, prototyper des solutions, et déboguer des problèmes complexes aux côtés de votre équipe quand cela est nécessaire. - Construire des playbooks reproductibles, des dépôts de démarrage, des modèles d’intégration, et une base de connaissances interne qui capture ce que votre équipe apprend sur le terrain. - Définir les OKRs de l’équipe liés aux résultats de succès client et aux objectifs d’adoption produit. Créer des cadences opérationnelles — standups, rétros, revues d’engagement — qui maintiennent l’équipe alignée. - Collaborer avec Produit et Ingénierie pour traduire les insights de terrain en améliorations produit. Servir comme voix du client dans la planification interne. - Voyager sur les sites des clients selon les besoins (25-50%), particulièrement lors des lancements d’engagement et pour les comptes prioritaires de votre équipe. Vous pourriez être un bon fit si vous avez - 10+ ans d’expérience en ingénierie logicielle, architecture de solutions, ou dans un rôle technique orienté client comme l’ingénierie forward deployed ou le conseil. - 2+ ans d’expérience en gestion de personnes au sein d’une organisation de services/post-vente/FDE avec un palmarès de recrutement, développement et fidélisation d’ingénieurs performants. - De l’expérience dans la construction d’organisations de zéro à un, pas seulement l’héritage d’une organisation existante. - De l’expérience de travail direct avec des clients d’entreprise sur des mises en œuvre techniques, y compris l’aisance à naviguer dans les dynamiques organisationnelles complexes. - Une présence de cadre avec la capacité à naviguer fluidement entre les conversations stratégiques avec les parties prenantes senior et les sessions de débogage pratiques avec les ingénieurs. - Des compétences fortes en communication écrite et verbale. Vous pouvez traduire la complexité technique en narratifs clairs pour des audiences diverses. - Un enthousiasme sincère pour la construction de quelque chose de nouveau et la définition de l’excellence pour une équipe qui n’existe pas encore. Pourquoi ce rôle compte Vous serez une personne leader fondatrice d’une équipe qui définit comment les entreprises adoptent et déploient l’IA. Votre travail influencera directement la direction produit d’Anthropic, créera des modèles réutilisables pour la base clients plus large, et établira Anthropic comme le partenaire de confiance pour la transformation de l’IA — tout en promouvant le développement responsable des systèmes d’IA de pointe. About the role Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager in Southern Europe, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities - Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. - Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. - Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. - Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. - Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. - Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. - Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. - Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. - Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. - Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have - 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. - 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. - Experience building organizations from 0->1, not just inheriting an existing one. - Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. - Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. - Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. - Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier 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: €235.000 - €295.000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 National Security practitioner to guide our strategic engagements with Asia-Pacific national security and intelligence communities. Working closely with the national security team based in the US and the APAC policy team, this senior role will help to shape Anthropic's approach to national security policy and partnerships in APAC during a critical period in AI development and governance. You will be the day to day point of contact with national security partners in the Asia-Pacific, translating technological developments for national security audiences and building mutually beneficial collaborations.. You will also work closely with our APAC public sector sales team to support public sector deployment of Claude in high-leverage use cases that strengthen national security, enhance government efficiency, and accelerate allied competitiveness to promote regional peace and security. This role is based in Australia. This job will also require travel across the Asia-Pacific region and to the United States. In this role you will: - Lead policy engagement with APAC national security partners on issues related to government use and national security implications of frontier models - Engage key NatSec policy stakeholders (e.g., via briefings, consultations, demos, roundtables), in coordination with the wider national security and APAC policy teams. - Partner with the APAC public sector sales team to support commercial efforts involving government agency deployments - Support and promote public-private research collaborations - Build a coalition of government agencies, nonprofits, safety institutes, think tanks and academics to in APAC to share knowledge around national security issues and ensure the safe and responsible adoption of frontier AI - Collaborate with technical teams to translate Anthropic threat model research into concrete policy proposals, stakeholder education, and thought leadership opportunities You may be a good fit if you: - Have 10+ years of experience working in national security agencies, or a combination of government and related private sector experience - Are high-agency, able to develop and execute strategy independently, taking account of dependencies with other cross-functional teams within Anthropic (including but not limited to policy, go-to-market, trust and safety, legal, product, research, comms, and marketing) - Possess strong written and verbal communication skills, particularly when briefing policymakers and government officials - Have demonstrated interest and experience in a complicated technical subject (ideally, AI, but other examples could be quantum computing, cryptography, fusion power, etc.) - Have had some legal training in or exposure to contract negotiation - Are willing/able to participate in a process to obtain/retain a security clearance in Australia 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Executive Briefing program brings senior leaders from our most strategic customers together with our spokespeople, product leaders, and researchers. As a Program Manager, Executive Briefings, you will run the program at one of our briefing centers and help build the global operating model that ensures an exceptional and consistent experience across the globe. You will be the main program lead for your location and own briefings end to end: qualification and intake, agenda design, speaker selection, and day-of execution. You will set the objectives and design for each agenda and develop it jointly with Sales. You will also be the local account teams' go-to partner on how to use a briefing to move their most important opportunities forward. You will manage the global workstream and set the standard every center follows, so customers get the same quality of briefing wherever they meet us. This is a highly cross-functional role. You will work with regional GTM leadership and the Office of the CCO on account selection and program strategy, with Product Marketing on content, with Solutions on technical deep-dives and demos, with Anthropic's executive bench on sponsorship and participation, and with Workplace, Security, and Revenue Operations on the experience and systems behind every briefing. You will be comfortable running every part of a briefing yourself and maintaining tight alignment with internal stakeholders. Key responsibilities - Own the Executive Briefing program at your location: the local calendar, capacity planning, the request and intake process from Sales, and operating SLAs, applied against global criteria and regional allocation - Work with regional GTM leadership to decide which strategic accounts receive a briefing each quarter, hold the qualification bar, and proactively surface accounts that should be engaged - Lead discovery with account teams before each briefing to understand the customer's objectives, business context, and stage of evaluation, and turn that into a tailored agenda - Own agenda design and co-own agenda development with Sales for every briefing, including the narrative arc, discussion topics, speakers, and demos - Build and manage the speaker bench for your location: identify, source, and match speakers to briefings, run prep, and manage capacity so no one is over-asked - Own day-of orchestration and the customer experience standard at your center, in partnership with Workplace on logistics - Contribute to the playbooks, tooling, and best practices that let the program scale consistently across centers while allowing for regional nuance - Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA - Maintain one source of truth for criteria, lead times, and process so account teams get one answer - Own measurement and reporting for your center and contribute to global reporting on briefing volume, capacity and allocation, strategic-account coverage, and program-influenced pipeline and expansion - Onboard and coach briefing team members and contractors across locations Minimum qualifications - Experience running executive briefings, customer events, or a comparable program for senior external audiences - Program management skills, including intake and prioritization, capacity planning, and managing multiple concurrent programs against SLAs - Experience designing agendas and facilitating discussions with C-level or other senior customer audiences - Experience building processes, playbooks, or tooling that help a program operate consistently - Ability to track, report on, and communicate program metrics such as volume, coverage, and pipeline influence - Strong written and verbal communication skills, with the ability to partner credibly with field leadership, executives, and internal subject matter experts - Work on site at your briefing center when briefings take place Preferred qualifications - 5+ years of experience building or scaling an executive briefing program, or a similar customer-facing program, at an enterprise technology company - Experience in a high-volume briefing environment - Experience with CRM and reporting tools such as Salesforce, and with connecting program activity to pipeline and expansion outcomes - Experience identifying and surfacing speakers for the speaker bench and managing speaker capacity across product, research, and executive teams - Experience working across time zones or across multiple sites to set one global standard - Experience onboarding or coaching new team members or contractors - Familiarity with AI products and how enterprises evaluate and adopt them - Interest in Anthropic's mission to build AI that is 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: £1 - £1 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Horizons The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models. About the role We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows. You may be a good fit if you: - Have experience in cybersecurity research. - Have experience with machine learning. - Have strong software engineering skills. - Can balance research exploration with engineering implementation. - Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: - Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. - Experience participating in or building CTF competitions and cyber ranges. - Academic research experience in cybersecurity. - Familiarity with RL techniques and environments. - Familiarity with LLM training methodologies. 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: $500,000 - $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Web Design Manager at Anthropic, you will lead the enterprise web design team responsible for how businesses experience Anthropic on the web. Our website is often the first place enterprise buyers encounter Claude, and the pages your team ships need to make complex, technical products feel clear, distinctive, and trustworthy. You'll bring a strong art director's eye to every project, set the craft standard, shape design direction for the next stage of our enterprise web presence, and build a team that does the best work of their careers. In this role, you'll own the enterprise web design practice: setting priorities, guiding projects from brief to launch, and holding a high bar for visual quality, storytelling, and performance. We're looking for someone who cares deeply about craft and knows how to use art direction (imagery, typography, motion, and composition) to tell a clear, memorable story on every page. You'll partner closely with enterprise marketing as your main day-to-day collaborators on priorities, messaging, and launches, and work alongside web engineering, web strategy and growth, brand and creative, sales and customer teams, product, and external agency partners to ship work that is both beautiful and effective. Key responsibilities - Lead and manage the enterprise web design team, including hiring, coaching, feedback, and career growth - Own the craft standard for enterprise web design, ensuring pages are distinctive, clear, and performant - Set clear priorities and ways of working for the team in partnership with marketing and design leadership - Guide projects from brief to launch, turning marketing asks into clear creative direction - Provide hands-on art direction across imagery, illustration, typography, motion, and layout so every page tells a cohesive, compelling story - Coach designers on craft and visual storytelling, giving specific, actionable feedback that raises the quality of the work - Partner closely with campaign, product, and segment marketers on messaging, launches, and day-to-day priorities - Develop the design direction for the next stage of Anthropic's enterprise web presence, in support of company goals - Partner with web engineering to ensure designs ship with high quality and strong performance - Collaborate with SEO, analytics, and growth partners to measure results, run experiments, and improve conversion - Present design work and rationale to stakeholders, explaining decisions simply and pushing back clearly when needed - Build consistency across channels in partnership with brand, creative, and copy teams - Manage external agencies and design partners on larger web projects - Track the performance of shipped work and use data to inform, not replace, creative judgment Minimum qualifications - Have deep web design experience, including directly managing web or creative designers - Have a portfolio of shipped web work that demonstrates strong craft, storytelling, and a clear point of view - Have strong art direction skills and a sharp eye for detail, with experience directing visual concepts from idea to polished execution - Think like a storyteller, shaping narrative and pacing across a page or campaign so design carries the message - Have designed for complex, multi-audience websites at scale, ideally for technical or enterprise products - Can turn complicated products into pages that are distinctive and convert - Are comfortable holding a high bar on tight timelines and making smart tradeoffs under pressure - Work well with marketing partners, translating asks into direction and pushing back with clarity and care - Understand web performance and use data and experiments well, without letting metrics replace creative judgment - Enjoy building teams, giving direct feedback, and helping designers grow - Can explain design decisions simply to stakeholders across functions - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Experience at companies known for exceptional web craft on technical products - Familiarity with enterprise buyer journeys and designing paths to conversion - Experience partnering with SEO, analytics, and growth teams on experimentation programs - A background working closely with engineers on design systems, performance, and implementation quality - Experience managing agencies or external design partners on large web initiatives - Strong writing or content design sensibility that strengthens storytelling on the page - Experience setting design direction during periods of rapid company growth 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Nonprofits, universities and other mission-driven organizations do some of the hardest work in the world, usually with small teams and little technical capacity. As a Scaled Account Manager in Beneficial Deployments, you will be the person a named book of these organizations can rely on. You will own each customer relationship after the first conversation, including commercials, activation and the conversations that turn a new deployment into everyday use. This role sits on the Scaled Sales team within Beneficial Deployments, the part of Anthropic that brings Claude to mission-driven organizations sooner and further than the market would on its own. You will work with little to no dedicated Customer Success support, so you are both the seller and the person who helps a customer get real value. That is only possible if you work differently. You will use Claude to take on the short-horizon tasks that consume a book like this, and spend your time on strategic conversations. The role will also change. As we automate more of this work, the book will take less of your time, and that time moves to growth: deeper work with your highest-potential accounts, launches, events and programs that reach many more organizations. We are hiring someone who wants that: someone who will automate parts of their own job and move on to the next hard problem. What you'll do - Own a named book of nonprofit and education customers. Take over existing relationships and run them end to end: retention, seat growth, plan moves and new contacts inside each organization. - Drive activation yourself. Help priority customers in the segment go from purchased seats to weekly use, starting with where staff lose the most time: fundraising, grant writing, reporting and program operations at nonprofits, or research support, teaching and administration in higher ed. - Automate your own work. Use Claude to handle account research, follow-ups, usage reviews and routine questions, then share what works so the whole team can use it. - Spend your time on strategic conversations. Work with executive directors, operations leads, and IT and academic leaders at universities to find the use cases that matter to their mission and agree what success looks like. - Spot who is ready for more. Identify customers moving from individual productivity toward redesigned workflows, build the case, and bring in Applied AI or other specialists when they qualify for deeper support. - Build programs, not one-offs. When ten customers have the same problem, create a playbook, webinar or cohort that solves it once. - Be the voice of your book. Bring what you hear to Product, Marketing, Support and Operations, and work across those teams to get customer problems fixed. Where your time goes as we automate The role starts mostly account-facing. Over roughly the first six months, we expect Claude to take on much of the routine work, and your time shifts toward growth. Examples of where it goes: - Deeper with priority accounts. Spend real time with the 10 to 15% of your book that can move from individual productivity to redesigned workflows, and get them there. - Quarterly launches. Beneficial Deployments brings new offerings to the nonprofit and education community each quarter. Help drive them: coordinate across Marketing, Comms and partner teams, and make sure your customers benefit. - Events. Help shape and run the events, local and eventually international, that become a core part of how we reach new organizations. - New signups and scaled partnerships. Contribute to the motions that bring new organizations onto Claude, including partner channels and programs for segments we don't yet serve well. The exact mix will change, and you will help decide it. Part of the job is working out which tasks should be automated and which still deserve a person's time. You may be a good fit if you have - 3+ years of account management or customer success experience with nonprofit or higher education customers, with a proven track record of growing retention and driving adoption of new technology - Have owned customer relationships in an account management or customer success role, and can point to accounts you grew, retained or turned around - Use AI in your own work today, and can show a workflow you built that gave you real time back - Bring structure to unfamiliar problems, and can move from a messy situation to a clear plan quickly - Have run multi-step programs or projects with several stakeholders and kept them on track - Have got things done through people you did not manage, across teams in a larger organization - Stay effective when your job changes, and would see automating part of your role as a win - Can explain AI plainly to people who are skeptical, busy or new to it - Care about the mission of nonprofits and educational institutions, and about AI being developed and deployed safely Strong candidates may also - Have built something from zero, such as a company, a product, a sales motion or a new program, or been an early employee at a startup - Have a consulting background, with experience across many sectors and problem types - Have worked at an AI-native company or sold AI products, or moved from business development into owning accounts - Have worked in or with nonprofits, foundations, Universities or other mission-driven organizations - Understand how nonprofits and universities buy, including boards, funders, procurement cycles and tight budgets - Have used usage data to prioritize a large book of accounts 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: $222,800 - $290,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 results-driven Go-To-Market (GTM) Recruiter to help establish and scale our teams across GTM functions in the APAC region. Based in Singapore, you'll be instrumental in our expansion, serving as one of the founding Recruiting hires in the region while building exceptional teams from the ground up. This role requires someone who can bridge cultural gaps, maintain Anthropic's high standards, and work collaboratively with our Business teams and leaders to establish our local presence. The ideal candidate thrives in ambiguous, fast-paced environments and excels at building relationships across diverse cultural and business contexts. Key Responsibilities: - Drive full-cycle recruiting for multiple GTM teams while establishing recruiting infrastructure and processes in APAC - Develop culturally-informed sourcing strategies to attract top talent for Singapore, with potential expansion to broader APAC markets - Partner with regional leaders and HQ to provide consultative guidance on talent acquisition strategy while adapting global practices for local markets - Leverage AI tools, including Claude, to innovate recruiting processes and drive efficiency across time zones - Provide market intelligence on compensation trends, talent availability, and cultural considerations while coaching hiring managers on regional best practices - Serve as a cultural ambassador, ensuring candidates understand Anthropic's mission while advocating for regional talent needs with global leadership - Build foundational recruiting processes, systems, and partnerships with local agencies, universities, and professional networks You may be a good fit if you: - Have 8+ years of full-cycle recruiting experience in high-growth GTM functions in APAC markets - Excel at building processes from scratch while managing multiple concurrent searches in ambiguous environments - Are passionate about leveraging technology and AI to transform recruiting processes - Have exceptional communication skills with ability to work effectively across cultural contexts - Demonstrate cultural sensitivity and ability to navigate complex stakeholder relationships across regions and time zones - Have experience with data-driven recruiting and metrics-based performance tracking in international contexts - Understand nuances of hiring practices, employment law, and professional norms in Singapore - Have experience working with distributed teams across significant time zone differences Strong candidates may also: - Have experience recruiting for AI or deep technology companies in APAC markets - Demonstrate success in establishing recruiting functions during international expansion - Show expertise in building company culture and employer brand in new markets - Have established networks within Singapore’s technology ecosystem 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.