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Renewals Leader
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We’re looking for a Renewals Leader to build and scale the function that protects and grows Anthropic’s recurring and committed revenue. This role owns renewals strategy, execution, and forecasting — ensuring we deliver exceptional customer outcomes while sustaining durable, predictable revenue as our enterprise base scales. Anthropic operates on a consumption-based model, which makes this fundamentally different from a traditional renewals role. Your team won’t simply be renewing contracts on a fixed cycle — they’ll be managing customer commitments in step with real usage, catching consumption risk early, and converting healthy adoption into expanded commitments. You’ll build the playbooks, the forecasting rigor, and the early-warning systems that make retention a strength rather than a scramble. You’ll lead and develop a team of Renewals Managers, partner closely with Sales, Deal Desk, Finance, and Customer Success, and serve as a trusted commercial voice in front of strategic customers. This is a builder’s role: you’ll be one of the first dedicated leaders for this function, so the processes, culture, and standards you set become the template. What you'll do: - Build and lead the renewals team. Hire, develop, and retain a team of Renewals Managers. Define how the function covers the customer base, set the performance bar, and create a culture of accountability and customer-centricity. - Own the renewal number. Own renewal bookings, gross and net retention, on-time renewal metrics, forecast accuracy, and renewal pipeline health. Identify risk early and implement mitigation strategies to reduce churn and contraction. - Define the operating model. Establish scalable renewal playbooks, stage definitions, qualification criteria, and operational rigor — adapted for the realities of consumption-based revenue rather than fixed contract cycles. - Forecast with rigor. Drive accurate weekly and monthly renewal forecasting and reporting that leadership can plan against, grounded in usage data and customer health signals. - Drive expansion at renewal. Partner with Sales and Customer Success to convert adoption depth into expanded commitments, and lead executive-level renewal conversations for strategic accounts where required. - Collaborate across the GTM organization. Work with Sales on territory and account strategy, with Deal Desk and Finance on pricing, terms, and approvals, and with Strategy & Operations on forecasting and field alignment. - Lead with an AI-first mindset. Use data, automation, and tooling — including Claude — to optimize renewal processes, monitor KPIs, and continuously raise the bar on performance. You may be a good fit if you have: - 8–12+ years of experience in SaaS, PaaS, or consumption-led businesses, with significant exposure to renewals, retention, sales, or customer success - 3–5+ years of people management experience leading renewals, retention, or commercial teams - A proven track record of owning and exceeding renewal and retention targets in complex, enterprise deal cycles - Excellent forecasting and pipeline management skills, with a reliable, evidence-based approach to calling the number - Demonstrated ability to influence cross-functional stakeholders — Sales, Finance, Deal Desk, and Customer Success — at all levels - A strong analytical mindset and comfort using data to drive decisions Strong candidates may also have: - Direct experience with consumption-based or usage-based pricing models, and the unique retention dynamics they create - Background in data, AI, cloud, or developer-platform businesses - Experience building a renewals or retention function from the ground up, including playbooks, forecasting cadence, and team structure - Experience operating across multiple regions and markets - Passion for AI and alignment with Anthropic's mission of beneficial AI development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Regional Research Economist, Economic Research
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 work to 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 rigour 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. 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/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 - 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 those implementing frontier methods in causal inference and machine learning - Demonstrated experience working in and relevant relationships across the region - Experience relevant to the study of AI’s impact on the economy, including: - 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 - Agent-based modeling or large-scale simulation - Technical skills including: - Proficiency in Python, R, SQL, or similar tools for large-scale data analysis - Experience working with novel datasets and measurement systems - Comfort learning new technical tools and frameworks - Demonstrated ability to: - Lead complex research projects from conception to publication - Communicate technical findings to diverse audiences - Build relationships across academic, policy, and industry communities - 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 Additional information 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. 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.
Regional Research Economist, Economic Research
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 work to 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 rigour 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. 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/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 - 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 those implementing frontier methods in causal inference and machine learning - Demonstrated experience working in and relevant relationships across the region - Experience relevant to the study of AI’s impact on the economy, including: - 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 - Agent-based modeling or large-scale simulation - Technical skills including: - Proficiency in Python, R, SQL, or similar tools for large-scale data analysis - Experience working with novel datasets and measurement systems - Comfort learning new technical tools and frameworks - Demonstrated ability to: - Lead complex research projects from conception to publication - Communicate technical findings to diverse audiences - Build relationships across academic, policy, and industry communities - 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 Additional Information 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. 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: £195,000 - £245,000 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.
Red Team Engineer, Safeguards
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities. While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives. Key responsibilities - Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques - Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms - Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives - Build and maintain systematic testing methodologies that evaluate every aspect of our systems - Develop automated testing frameworks to enable continuous assessment at scale - Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements - Help establish metrics for measuring detection effectiveness of novel abuse Minimum qualifications - Experience in penetration testing, red teaming, or application security - Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors - Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks) - Experience building custom automation, including LLM-specific testing frameworks - A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways - A public body of work such as CVEs, blog posts, or disclosed bug bounty reports - Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences Preferred qualifications - Experience with AI/ML security or adversarial machine learning - Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks - Experience testing API security and rate-limiting systems - Background in testing business logic vulnerabilities and authorization bypass techniques - Background in anti-fraud, trust & safety, or abuse prevention systems - Familiarity with distributed systems and infrastructure security - Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses - Adaptability to understand and build engagements around emerging threats outside your direct area of expertise 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.
Recruiting Solutions Engineer
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 Recruiting Solutions Engineer dedicated to Recruiting at Anthropic, you will be the trusted technical partner helping recruiters build with Claude as we transform how Anthropic hires. The role spans three connected lanes — education, technical support, and building — in that order. Your first mission is helping recruiters help themselves: finding the AI skills and workflows our strongest recruiters have already invented, codifying them, and teaching them at scale. Where self-serve runs out, you provide hands-on technical support. And where the same need keeps surfacing, you build fast pilots that prove the workflow. Working closely with Recruiting leadership, People Products Engineering, and Data Solutions, you'll own the full enablement loop: you'll leverage your AI engineering expertise to turn recruiter-built skills into reusable assets, design evaluation approaches for AI-assisted hiring workflows, and create the technical resources that let a recruiting org operate at the frontier of AI. Key responsibilities - Serve as the dedicated technical advisor to the Recruiting organization — embedded with recruiters, sourcers, and coordinators to expand what's possible with Claude in real hiring workflows - Lead with education: identify and codify the skills and workarounds recruiters have created, turn them into teachable and reusable assets, and run the enablement motion (sessions, office hours, workshops) that scales them across the org - Work hands-on with recruiters: pairing on prompts, skills, and agent workflows; debugging where things break; turning support patterns into documentation so the same question isn't answered twice - Develop fast prototypes and pilots for high-value workflows that education alone can't solve — built scrappy, validated with real recruiter usage, and designed from day one with a graduation path into People Products' production stack - Collaborate closely with our internal AI governance group (the AI Council) to vet recruiter-built skills into shared tooling, and with People Products to hand off pilots that earn productionization - Identify patterns across teams and engagements, and contribute insights back to Recruiting leadership, Data Solutions, and People Products - Create technical content for recruiting audiences: documentation, tutorials, sample skills, and walkthroughs that assume curiosity rather than an engineering background - Foster community engagement through internal hackathons, demo sessions, and technical office hours Minimum qualifications - Experience as a Software Engineer, Forward Deployed Engineer, Solutions Engineer, or in a technical enablement role — or equivalent builder credibility from shipping real products - Production experience building LLM-powered applications and workflows, including prompting, context engineering, agent architectures, and evaluation - Strong programming skills (e.g., Python, TypeScript) and a pragmatic approach to internal tooling — you'd rather ship a working pilot this week than architect for a year - Genuine enthusiasm for teaching audiences without engineering backgrounds: you can translate AI concepts into language and habits that stick, and you measure success by what people can do without you - The judgment to know when a problem needs enablement, when it needs support, and when it needs software — and the discipline not to build when teaching will do - Strong communication skills that earn trust with both recruiters and engineers - Passion for making powerful technology safe and beneficial Preferred qualifications - Experience with recruiting or people technology (Greenhouse, Workday, scheduling and sourcing tools) - Experience working inside or alongside recruiting, people operations, or another operations-heavy function - A track record of internal-tools or platform work where the customer sat next to you - Experience running enablement programs, workshops, or developer relations-style motions 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 - $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. 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.
Recruiter, Mergers & Acquisitions
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 is an AI safety company working to build reliable, interpretable, and steerable AI systems. We believe AI has the potential to fundamentally change how the world works, and we're focused on building systems that are safe and beneficial. About the Role Anthropic has an ambitious mission with high stakes and tight timelines. In some cases, the talent we need to achieve our vision can't be accessed through traditional recruiting alone. That's where M&A comes in. We're looking for an M&A Recruiter to join our Talent team and serve as a critical bridge between Corporate Development and the technical organization. This role partners closely with Corporate Development, Technical Leadership, Product, Research, Engineering, and People to source, assess, and integrate world-class technical talent. Your work will be challenging and unique, supporting Anthropic's efforts to remain on the frontier. What You'll Do - Partner with Corporate Development and Technical Leadership to evaluate M&A targets, focusing on talent quality, cultural alignment, and strategic fit - Build relationships with founders, technical leaders, and key engineers at target companies - Develop deep expertise in the technical talent landscape across our priority areas and lead technical talent assessments for potential acquisitions - Own recruiting and partner to ensure an amazing onboarding experience for technical talent joining through acquisitions - Collaborate with People, Legal, and Corp Dev to structure competitive offers that reflect both standard compensation and appropriate recognition for founders' prior work - Maintain confidentiality and navigate sensitive conversations with discretion What We're Looking For - 7+ years of technical recruiting experience, with at least 3 years supporting corporate development, M&A, or acquihire processes and familiarity using modern recruiting systems - Track record of hiring engineers, research scientists, and technical leaders in highly competitive markets - Strong understanding of what makes technical teams exceptional—and the judgment to assess whether a team meets Anthropic's high bar - Experience navigating complex, sensitive hiring situations where discretion and trust-building are essential - Ability to partner effectively across Corp Dev, Legal, People, and technical leadership - Clear, direct communication style and a bias toward action - Genuine interest in Anthropic's mission and the role M&A plays in supporting it Nice to Have - Experience recruiting at a high-growth AI or machine learning company - Experience with founder recruiting or executive search in technical domains Compensation & Benefits Anthropic's compensation package includes competitive salary, equity, and a comprehensive benefits package including health, dental, and vision insurance, generous parental leave, flexible PTO, and a 401(k) plan. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Recruiter, AI Research
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 talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Responsibilities: - Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent - Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications - Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process - Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams - Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates - Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends You may be a good fit if you: - Have 5+ years of experience in full life cycle recruiting supporting technical research teams - Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations - Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies - Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities - Possess strong technical aptitude with the ability to understand and evaluate technical qualifications - Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research - Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy - Have experience partnering with researchers and hiring talent that work on GenAI and LLMs - Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment Strong candidates may also: - Bring a deep interest in AI safety research - Have experience partnering with researchers and hiring talent that work on GenAI and LLMs - Have experience with academic recruitment and research communities 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: $175,000 - $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.
Real Estate Project Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a detail-oriented Real Estate Coordinator to join our Workplace and Real Estate team at Anthropic. This critical role will be a key coordinator in our global real estate projects across multiple office locations, serving as the central liaison between external project managers, vendors and internal stakeholders. The ideal candidate will bring 7+ years of corporate real estate project management experience, with exceptional organizational skills and the ability to manage multiple concurrent projects, maintain meticulous attention to detail in a fast paced environment. Project Oversight & Coordination - Coordinate the delivery of multiple real estate projects across an international portfolio, ensuring swift project set up, timely completion, and within budget parameters - Serve as primary liaison between external project managers and internal stakeholders, facilitating clear communication and project alignment - Assist in monitoring milestones, deliverables, and potential risks across all active projects - Support in project meetings and coordinate follow-through on all commitments Space Planning & Moves Management - Coordinate office moves and team relocations as we expand into new spaces and optimize existing neighborhoods - Develop move plans and timelines, coordinating with IT, Security, Facilities, and affected teams to ensure plans and roles and responsibilities are clearly communicated - Ensure moves are executed on time and with minimal disruption Financial & Administrative Management - Lead new project setup including obtaining Certificates of Insurance (COIs), processing initial wire transfers to new Landlords for deposits and first month rent, raising internal purchase orders (Zip), and coordinating with Finance Team on obtaining Letters of Credit - Coordinate with Finance team to ensure proper documentation and compliance with Treasury Regulation requirements and accountable plan policies - Maintain project budgets with external project managers and flag variances to leadership, ensuring fiscal responsibility across all initiatives - Support lease administration activities across the global portfolio Stakeholder Communication & Reporting - Prepare and distribute regular project status updates to stakeholders, creating written updates that clearly communicate progress, challenges (including mitigation steps taken) and next steps - Ensure all project documentation is properly maintained and accessible - In partnership with external project managers, ensure project delivery meets Anthropic standards Minimum Qualifications: - Possess exceptional attention to detail with strong organizational and time management skills - Have experience coordinating office moves, restacks, and space reconfigurations in corporate environments - Demonstrate outstanding verbal and written communication abilities to ensure regular and clear project team and stakeholder communication - Show proven ability to manage multiple competing priorities in a fast-paced, dynamic environment - Have strong relationship management skills with the ability to work effectively with both internal and external stakeholders - Are proficient in G-Suite applications - Can work independently while knowing when to escalate issues appropriately Preferred Qualifications: - Have 7+ years of experience in corporate real estate coordination, project management, or related fields - Have real estate experience in rapid-growth technology company - Have experience in coordinating international real estate projects - Bring familiarity with workplace design and construction project coordination - Have specific experience with large-scale office moves and restacking projects - Show expertise in space planning and utilization optimization - Have experience with lease administration and transaction management - Demonstrate experience with process improvement and operational excellence The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $185,000 - $185,000 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.
Real Estate Program Coordinator
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Real Estate Program Coordinator to partner with Anthropic's Global Head of Real Estate & Workplace. This is a high-impact, execution-focused role that keeps Anthropic's rapidly growing global real estate portfolio moving. The Coordinator owns the tactical workstreams behind every new office and every active transaction: initial security deposit and first-month rent wire transfers, monthly rent PO setup with AP, Letters of Credit, and the day-to-day triage of activity coming from our broker team. The ideal candidate is highly organized, detail-obsessed, comfortable juggling many concurrent workstreams across global time zones, and brings a strong service mindset paired with crisp written communication. Reporting directly to the Global Head of Real Estate & Workplace as an individual contributor, you will be the operational engine that ensures our real estate program executes flawlessly as we scale. Key responsibilities New Office Setup & Transaction Execution - Own the work of setting up new offices end-to-end, including initial security deposit and first-month rent wire transfers in partnership with Finance, Accounts Payable, and local brokers. - Manage end-to-end execution of Letters of Credit, including intake forms, supporting documentation, signature collection; review checkpoints with Accounts Payable and the Head of Real Estate before submission. - Track required documentation for international transactions (Articles of Incorporation, Company Tax IDs, Powers of Attorney, passports, banking details) and coordinate with Legal to source missing items. - Maintain real-time status of all open transactions and provide weekly updates to the Head of Real Estate and broker partners. Ongoing Rent & AP Operations - Partner with Accounts Payable to set up purchase orders for monthly rent payments across the portfolio, ensuring accurate amounts, terms, and lease references. - Process and reconcile vendor invoices for rent, TI reimbursements, capital contributions, and broker fees; partner with AP and Corp Accounting on processing and follow-through. - Update and reissue POs as leases are amended, renewed, or escalated. Broker & Portfolio Triage - Serve as the day-to-day operational point of contact for the broker team, triaging incoming activity, requests, and updates across the global portfolio. - Surface decisions needed from the Head of Real Estate, and keep the team focused on what matters most each week. - Track action items, follow-ups, and open questions across every active broker workstream so nothing falls through the cracks. - Build and maintain the Real Estate pipeline tracker in Airtable, including views, automations, versioning, and stakeholder-facing reporting. - Track required documentation across the portfolio (executed leases, amendments, LOIs, NDAs) and ensure executed copies are filed and circulated to relevant partners. Cross-Functional Coordination & Communication - Draft communications and support delivery of the Workplace All-Hands, Real Estate Roadmap meetings and similar updates related to real estate transactions and milestones. - Document and maintain standard operating procedures for recurring workstreams (deposits, LoCs, PO setup, doc tracking) so that processes scale as the portfolio grows. - Surface risks, blockers, and decision points to the Head of Real Estate clearly and early, with proposed paths forward. Minimum qualifications - Experience in corporate real estate operations, real estate program coordination, executive support to a real estate leader, or a closely adjacent operations role. - Hold a Bachelor's degree, or equivalent professional experience. - Have hands-on experience coordinating commercial real estate transactions, including wire transfers, security deposits, Letters of Credit, and PO/invoice workflows. - Are highly organized and detail-obsessed, with a track record of managing many concurrent workstreams across time zones without dropping balls. - Have strong written communication skills and can produce clear, concise status updates and stakeholder communications. - Are proficient in Google Sheets/Docs, Airtable (or comparable database/no-code tools), and basic financial workflow tools. - Are comfortable partnering with Finance, AP, Legal, and external vendors and brokers, and can hold cross-functional partners accountable to deadlines diplomatically. - Have experience working in high-growth environments where processes are being built in real time. Preferred qualifications - Have 5+ years of relevant experience - Have experience supporting global real estate portfolios across multiple countries. - Have experience setting up POs, processing vendor invoices, and partnering closely with AP and corporate accounting teams. - Have experience supporting software implementations. - Have experience at high-growth technology companies scaling from 500-5,000+ employees. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $185,000 - $185,000 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.
Real Estate Portfolio Manager
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. We are seeking a senior Real Estate Portfolio Manager to join Anthropic's Workplace and Real Estate team to lead strategic planning, portfolio optimization, and a team of real estate professionals across our global footprint. This high-impact role will develop comprehensive real estate strategies, conduct rigorous market and financial analyses, and deliver executive-level recommendations to our CFO and senior leadership. The Real Estate Portfolio Manager will oversee a team including a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist, building a high-performing function that brings the strategic rigor and analytical sophistication of established corporate real estate organizations to our rapidly scaling AI company. Responsibilities: Strategy & Executive Communication - Develop comprehensive real estate strategy documents that synthesize market analysis, financial modeling, and location recommendations for CFO and executive leadership review - Lead strategic portfolio planning including scenario modeling for growth, market entry/exit decisions, and long-term footprint optimization - Create executive-level presentations and decision memos that translate complex real estate data into clear strategic recommendations - Conduct in-depth market analyses including competitive positioning, labor market dynamics, talent availability, and cost-of-occupancy comparisons across target markets - Build and maintain sophisticated financial models for real estate decisions including NPV analysis, lease vs. buy scenarios, and total cost of occupancy projections - Partner with Finance on capital planning, real estate budgeting, and investment justification for major portfolio decisions Portfolio & Program Oversight - Develop location strategy frameworks that align real estate decisions with business unit requirements, talent strategy, and corporate objectives - Oversee occupancy planning and demand forecasting efforts, translating headcount projections into actionable space requirements and timing recommendations - Direct lease administration strategy including portfolio risk assessment, lease restructuring opportunities, and critical obligation management - Establish portfolio performance metrics and reporting frameworks that provide executive visibility into real estate investments and outcomes - Partner with external advisors (brokers, consultants, legal) to execute strategic initiatives and negotiate favorable terms - Identify portfolio optimization opportunities including consolidation, expansion, or repositioning strategies that enhance operational efficiency and reduce costs Team Leadership - Manage and develop a team of two direct reports: a Real Estate Program Manager and an Occupancy Planning/Lease Administration specialist - Set clear goals and priorities for the team, ensuring alignment with broader real estate and company objectives - Provide coaching, mentorship, and professional development opportunities to build team capabilities - Foster a collaborative, high-performance culture that emphasizes quality, accountability, and continuous improvement - Allocate resources effectively across strategic initiatives and operational demands You may be a good fit if you: - Have 10+ years of progressive experience in corporate real estate strategy, portfolio management, or real estate finance, with at least 3-5 years in a people management role - Have a proven track record of developing and presenting real estate strategies to executives - Possess sophisticated financial modeling skills including NPV, IRR, scenario analysis, and total cost of occupancy methodologies - Have deep expertise in market analysis including labor economics, competitive positioning, and location strategy development - Are an exceptional writer who can synthesize complex analyses into compelling strategic narratives and executive-ready documents - Have demonstrated success building and leading high-performing teams - Have experience managing portfolios of significant scale and complexity across multiple geographies - Can operate with autonomy and drive strategic initiatives with minimal direction - Have strong executive presence and can confidently present recommendations to senior leadership - Thrive in fast-paced, high-growth environments where you can build processes and frameworks from the ground up Strong candidates may also: - Have experience in high-growth technology companies navigating rapid scaling challenges - Hold an MBA or advanced degree in real estate, finance, or related field - Have relevant certifications such as CoreNet MCR or CCIM - Bring consulting experience from firms specializing in corporate real estate strategy - Have experience with international market entry and global portfolio optimization - Have led major strategic initiatives such as headquarters relocations, portfolio consolidations, or market expansions 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: $275,000 - $275,000 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.
Program Manager, GTM Systems
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic's GTM Systems team builds and operates the systems and processes behind the company's go-to-market motion — quoting, provisioning, customer success tooling, and the data infrastructure that ties them together. As a Program Manager on the team, you'll own cross-functional coordination across our concurrent systems initiatives: aligning stakeholders, running quarterly business reviews, and making sure every program stays tied to the business outcome it exists to drive. You'll work across Sales, Customer Success, Revenue Operations, Deal Desk, and Business Technology leadership to keep multiple in-flight programs moving in lockstep — CPQ, deployment tracking, account data quality, and compliance-driven process change. You'll be the person in the room translating between technical implementation detail and executive priorities, and the person following up afterward to make sure alignment turns into action. In a typical week, you'll prepare for and run quarterly business reviews, meet with operational leads and stakeholders across the GTM organization, and pull together the documentation that keeps initiatives aligned. Throughout, you'll dig into the "why" behind each program — not just tracking status, but making sure the team can always articulate the business outcome a program is meant to drive and how it's being measured. Key responsibilities: - Own cross-functional coordination across concurrent GTM systems programs, including CPQ, deployment tracking, account data quality, and compliance-driven process change - Prepare and run quarterly business reviews for GTM systems initiatives, and drive the decisions and follow-ups that come out of them - Partner with operational leads and stakeholders across Sales, Customer Success, Revenue Operations, Deal Desk, and Business Technology to keep programs aligned and moving - Translate between technical implementation detail and executive priorities in both directions, so engineers understand the business context and leadership understands the trade-offs - Define and track the business outcome each program exists to drive, along with how it's measured, and hold programs to it - Aggregate and maintain the documentation, plans, and status views that keep cross-functional initiatives coherent - Surface risks, dependencies, and competing priorities early, and drive them to resolution without direct authority over the teams involved Minimum qualifications: - Hands-on experience with GTM processes at a software or technology company — lead-to-cash, quote-to-cash, renewal and expansion motions, or customer health - Working understanding of how systems such as Salesforce, CPQ platforms, or customer success tools support those processes - A track record of owning cross-functional alignment with senior stakeholders — running recurring business reviews, facilitating rooms with competing priorities, and driving decisions without direct authority - Strong program management fundamentals: planning, tracking, dependency and risk management - Clear written and verbal communication, with the ability to move between technical detail and executive summary depending on the audience - Work effectively in fast-moving environments with high ambiguity, including where process doesn't exist yet - Excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications: - Experience with lead and campaign automation, CPQ implementations, or customer success and health-scoring programs (Gainsight or equivalent) at a software company - Experience operating in a compliance-sensitive environment, such as SOX or IPO readiness - Experience partnering closely with engineering or business technology teams on systems implementations, not only with business stakeholders - Familiarity with the data models behind GTM systems, and comfort using data to diagnose whether a program is working - Experience at a company that scaled significantly during your tenure 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 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Program Manager, Communications
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 Program Manager on Anthropic's Communications team, you'll be the person the Communications team relies on when stakes are highest: product launches, major announcements, and fast-moving reactive situations. You'll turn complexity into clarity — structuring the work, orchestrating the people, and surfacing the right decisions to leadership at the right moments. This is a senior role for someone who deeply understands how communications teams operate — how campaigns come together, how crisis response actually unfolds, where things break down — and pairs that fluency with exceptional program management craft. You'll work across external, internal, and editorial communications and partner closely with comms leadership, serving as connective tissue across the organization. Communications is fluid: news breaks, plans change, launches move. The right person brings structure without rigidity, creating clarity under pressure and flexing to absorb a last-minute pivot. Responsibilities: - Run the operating rhythm for major campaigns: planning, prioritization, status reporting that keeps leadership informed without slowing the team down, and retrospectives that produce real improvements - Translate fast-changing, ambiguous projects into clear workstreams, owners, timelines, and decision points, so the comms team always knows what's happening, who owns what, and which decisions are needed when - Serve as a strategic thought partner: bring recommendations, surface risks and tradeoffs early, and drive decisions under pressure - Build alignment and drive accountability across a wide range of cross-functional partners (Product, Marketing, Policy, Legal, Research, and executive teams), often without formal authority - Anticipate operational bottlenecks before they hit and resolve them, often with incomplete information and compressed timelines - Design and continuously improve the team's operating framework: launching playbooks, crisis response protocols, escalation paths, and cross-team coordination models, so each subsequent cycle becomes easier You may be a good fit if you: - Have 10+ years of experience in program management, communications operations, or a closely-related discipline, including significant time working in or alongside communications teams - Deeply understand how communications functions work — how campaigns are built, how media moments unfold, and how crisis response operates in practice - Have led complex, high-visibility programs under pressure, with a track record of bringing calm, structure, and momentum to chaotic situations - Have experience with high-growth teams whose processes need to scale as fast as they are - Can influence and align senior stakeholders across very different functions and working styles, without relying on formal authority - Possess impeccable organizational skills, paired with the judgment to know when process creates clarity and when it gets in the way - Think strategically in real time — connecting the immediate fire drill to the bigger picture and helping leadership see around corners - Are genuinely flexible: comfortable with last-minute pivots, shifting priorities, and plans that change mid-flight - Are relentless about follow-through: you don't let things drop, even when the team is at its busiest - Communicate with exceptional clarity, especially when synthesizing messy situations for executive audiences - Care about ensuring that transformative AI systems are developed safely Strong candidates may also have: - In-house communications or agency experience at a high-growth technology company - Direct experience supporting crisis communications or rapid-response efforts - Experience standing up program management or operations functions from scratch - Familiarity with the AI landscape and the issues shaping the public conversation around it The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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.
Product Support Specialist
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are hiring our first Tokyo-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. This role requires native-level Japanese and business-level English proficiency, as candidates will support both Japanese-speaking customers and those across APAC/ANZ in English. Note: Specialists in Tokyo will work 10am - 6pm, Monday to Friday. Responsibilities: - Become an expert in all Anthropic products - Respond to user support cases, in English and Japanese, with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses - Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace - Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries. - Prioritize critically and comfortably adapt to an ever-evolving product landscape - Operate in ambiguity, making informed decisions even in never-before-seen situations - Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale - Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates - Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you: - Have experience in providing technical product support, in both English and Japanese, within a second tier, escalated, or priority support team. - Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease - Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) - Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution - Have crisp but kind written communication skills and a deep care for the details - Enjoy helping others learn about new features and complex concepts - Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward - Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC. - Are proficient at working in a technical environment and are interested in Anthropic’s products - Possess a deep sense of ownership, and are excited to help us build our team! Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Support Specialist
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 Support Specialist, you’ll be at the front lines of safely delivering AI to the world, providing high-touch support to the businesses building on Claude. You’ll take the cases that need more than a help article: understanding how a customer has built on our platform (their integrations, their authentication and identity setup, their use of the models) and then investigating, diagnosing, and resolving their most complex technical needs. You’ll partner with engineers to get to the bottom of things, and with account teams to keep the customer’s trust while you do. Additionally, you’ll help us identify and close gaps in our team’s technical knowledge, turning what you learn from each case into documentation, tooling, and product feedback so the whole team gets sharper. This is a role for someone who wants their technical depth to matter to real businesses, and who cares as much about how we systematically support customers at scale as about the case in front of them. Responsibilities - Provide high-touch support to our most strategic customers, communicating clearly and empathetically with a wide range of user personas, context-switching between guiding an executive through an incident and providing critical product knowledge to an admin in need of help within the same hour - Serve as an escalation point for our most complex technical issues: reproducing customer issues, utilizing logs and traces, and providing solutions alongside engineers - Troubleshoot SSO, SAML, and OAuth authentication flows, and the integration surface where our products meet a customer’s infrastructure - Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale - Manage on-call tasks for high-urgency user issues with extreme ownership - Respond to user support cases with a variety of complexity, from questions from individuals to complex API debugging for large businesses - Become an expert in all Anthropic products, and delight in the hunt when something doesn’t behave as expected - Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products - Suggest and drive improvements to increase user satisfaction through support processes, as well as own initiatives that increase efficiency and drive down contact rates - Operate in ambiguity, making informed decisions even in never-before-seen situations - Prioritize critically and comfortably adapt to an ever-evolving product landscape Minimum qualifications - Several years of technical product support experience at a high-growth tech company, including hands-on API debugging, ideally on a tier-two, escalated, or priority support team - Experience supporting enterprise or strategic accounts: exec-level communication, escalation management, and working shoulder-to-shoulder with account and engineering teams - Fluency with APIs and technical SaaS products; you read technical docs with ease and can reason about someone else’s architecture from a handful of clues - Experience troubleshooting SSO, SAML, and OAuth authentication flows - A demonstrated ability to thrive in fast-paced, reactive situations while hitting core support metrics (CSAT, SLA, and the like) - Strong user empathy and mastery of the support case lifecycle; you read between the lines, get to the heart of the need, and resolve it fast - Crisp but kind written communication and a deep care for detail - Persistence and curiosity: you’re energized by tracking down a bug, and more energized by fixing it for every similar user going forward - A deep sense of ownership, genuine interest in Anthropic’s products, and enthusiasm for helping build the team Preferred qualifications While not required, we're particularly excited about candidates with one or more of these specializations: - Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript) - SQL proficiency for querying logs and investigating issues - Understanding of LLM capabilities, practical applications, and current limitations - Familiarity with enterprise networking concepts and IT infrastructure - Familiarity with Git workflows and version control concepts - Experience supporting government or public sector customers, including compliance requirements and security frameworks - Background in team lead roles or managing contract/vendor support teams We’re hiring across a range of experience levels to build depth in both technical capabilities and enterprise support. 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: $131,040 - $210,000 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.
Product Operations Manager, Claude.ai (Consumer &...
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.ai is Anthropic's most visible product surface, and how well our models perform there shapes how tens of millions of people experience Claude. We're hiring a Product Operations Manager to embed within the Claude.ai product team. The right candidate will help program manage model performance, launch readiness, and the general operating model on the Claude.ai and Growth product team. You'll balance hands-on execution with the systems that let the team ship new models and new features with confidence. You won't write evals yourself, but you'll make sure eval coverage exists, burn down lists get completed, and issues get resolved before they become surprises. You'll also run the team's core operating rhythms and invest in our feedback-loop systems connecting consumer users to what the product team does next. You'll shape how Product Operations works with within Claude.ai from the ground up. Responsibilities: - Operationalize model performance: prompting-update tracking, issue prioritization, and go/no-go decision making in tight collaboration with Research, Product, and Engineering - Own Launch Readiness for Claude.ai: launch checklists, coordination with XFN Teams, and observability into status and roadmap - Run team operations for Claude.ai & Growth - Invest in feedback-loop systems: intake, triage, synthesis for consumer users - Coordinate across functions without formal authority You may be a good fit if you have: - Have 5+ years of experience in product operations, program management, or launch readiness roles at fast-paced tech companies. - Have operationalized model performance before, ideally at an application-layer AI product company, without necessarily writing evals yourself - Have built or fixed an operational process end-to-end, not just executed someone else's plan - Thrive in ambiguity, this role is still being defined - Bring real cross-functional influence - Have built a feedback or issue-triage system from scratch Bonus: - Large-scale consumer product experience - Startup 0-to-1 background - EAP or beta program experience The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Marketing Lead, Claude Platform - Cloud
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Product Marketing Lead to own go-to-market for some of the highest-leverage surfaces of the Claude Platform (API). You'll lead a team responsible for the Cloud, Enterprise, and Ecosystem pillars that together shape how enterprises buy, deploy, and extend Claude. This role sits at the intersection of product strategy and commercial execution. You'll manage a team of PMMs, partner with Product to bring new products to market, arm Sales with the narratives and tools they need to win enterprise deals, and work with our cloud and ecosystem partners to drive joint launches that generate market momentum. If you've led product marketing for developer platforms, API products, or technical infrastructure, have built and coached PMM teams, and are energized by shipping new capabilities on a weekly cadence, this role is for you. Responsibilities: - Lead and develop a team of product marketers covering Cloud, Enterprise, and Ecosystem for the Claude Platform (API) - Develop and maintain a unified portfolio narrative that articulates how our products work together to serve enterprise needs - Drive product launches that generate market momentum, from flagship releases to incremental feature updates across your key pillars - Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling - Own content and launch strategy for partner conferences like AWS re:Invent, Google Cloud Next, and Microsoft Ignite — including keynotes, sessions, and launch moments - Lead go-to-market for MCP and the broader connectivity story that ties Claude into customer systems - Shape and execute the Claude Marketplace go-to-market, including positioning, co-marketing, and sales enablement - Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback - Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market You may be a good fit if you: - Have product marketing experience focused on developer platforms, APIs, or technical products with a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches - multiple years of marketing developer products to developer audiences is required for this position - Have experience partnering with cloud providers (AWS, Google Cloud, Microsoft Azure) on joint product launches and driving launches across multiple platforms - Have experience leading product marketing for a portfolio of related products, including leading a small team or a cross-functional pod - Have a strong technical background with ability to understand and communicate complex AI features to both technical and non-technical audiences - Excel at cross-functional collaboration, particularly in aligning product, sales, and marketing strategies - Possess strong storytelling skills with demonstrated ability to create diverse marketing content including blogs, presentations, sales collateral, website copy, and customer case studies - Have exceptional writing skills with demonstrated ability to adapt tone, style, and complexity for diverse audiences (executives, technical users, end customers) and formats (long-form content, product briefs, email campaigns, social media) Strong candidates may have: - Experience in high-growth companies scaling enterprise go-to-market - A track record of building product marketing functions or teams - Experience in highly competitive markets requiring sharp differentiation - Background marketing AI/ML products or developer tools to enterprise buyers - Experience working closely with sales teams on strategic, technical deals Role-specific policy: For this role, we expect 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. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $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.
Product Manager, Safeguards (Verticals)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Safeguards Rare Harms
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Safeguards (Child Safety)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Multi-Cloud Growth - Google
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 Platform Org’s mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises. The platform team is comprised of three key areas: - Enterprise fabric – where we are building multi-cloud integrations at extreme scale across our entire stack to meet businesses wherever they are and in the most demanding of requirements. - Frontier capabilities – where we are building developer experiences and features that enable users to get the most out of the model and build at the very frontier of intelligence. - Agentic platform – where we are inventing the next generation of agentic infrastructure for production-grade use and building new products to enable businesses to solve problems with agents. Responsibilities: Customer Understanding & Advocacy - Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points - Run regular feedback sessions and technical reviews with key enterprise customers - Build strong relationships with enterprise development teams to understand their workflows and challenges - Transform customer insights into actionable product requirements and priorities Product Strategy & Vision - Define and execute the enterprise API strategy, balancing security requirements with developer experience - Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities - Identify and prioritize key enterprise integration patterns that drive organizational value Enterprise API Development - Partner with engineering to build enterprise-grade API features, security controls, and deployment tools - Design and implement enterprise integration frameworks and SDKs for common enterprise systems - Drive development of industry-specific API features and compliance capabilities Cross-functional Leadership - Partner with sales and customer success to understand enterprise requirements and support technical evaluations - Work closely with security and compliance teams to meet enterprise standards - Collaborate with platform teams on API architecture and scalability - Engage with marketing to develop enterprise API positioning and technical materials Minimum Qualifications You may be a good fit if you: - Have built or shipped products with a hyperscaler as a partner — you know how to align goals and deliver impact across that boundary. - Have owned a revenue number, a margin target, or a channel P&L — not just a product roadmap. - Operate with high autonomy in ambiguous, fast-moving environments. - Are an excellent written communicator and able to drive clarity out of complexity. - Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organization. Preferred Qualifications Strong candidates may also have: - Have 10+ years of experience in high-scale, high-reliability developer-facing software. - Have 5+ years of product management experience. - Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs. - Direct experience as a PM at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces. 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 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Enterprise
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager for Enterprise at Claude.ai , you will own the core enterprise platform capabilities that make Claude trustworthy and deployable for large organizations. You'll focus on security, compliance, administration, and governance features that enterprise customers require to adopt AI at scale. This role requires strong technical judgment, deep understanding of enterprise security and compliance frameworks, and the ability to translate complex requirements into elegant product experiences. You'll work closely with engineering, design, sales, and security teams to build the foundational enterprise capabilities that unlock Claude's adoption across regulated industries and security-conscious organizations. Key responsibilities Security & Compliance Product Development - Own the roadmap for enterprise security features including audit logging, data retention policies, and access controls - Drive compliance certifications and feature development (SOC 2, HIPAA, FedRAMP, GDPR) in partnership with security and legal teams - Develop and maintain enterprise admin experiences including user management, workspace controls, and policy enforcement - Build features that give IT and security teams visibility and control over Claude usage within their organizations Enterprise Platform Capabilities - Define and execute on core enterprise infrastructure including deployment options, data residency, and integration capabilities - Partner with engineering to build scalable, secure architecture that meets enterprise requirements - Develop APIs and integration points that enable enterprise workflows and system connectivity Cross-functional Partnership - Work closely with sales and customer success to understand enterprise customer requirements and translate them into product priorities - Partner with security team to ensure features meet enterprise security standards - Collaborate with legal and policy teams on compliance requirements and certifications - Coordinate with research teams on enterprise-specific model behavior and safety requirements Customer & Market Understanding - Build deep expertise in enterprise security, compliance, and procurement requirements - Develop relationships with enterprise customers to understand their needs and validate solutions - Stay current on competitive landscape and enterprise AI market trends Minimum qualifications - Strong understanding of enterprise security concepts (RBAC, audit logging, encryption, data residency) - Experience with compliance frameworks (SOC 2, HIPAA, GDPR) and certification processes - Track record of shipping enterprise features that drive adoption in security-conscious organizations - Excellent communication skills with ability to work across technical and business stakeholders - Experience partnering closely with sales teams and engaging directly with enterprise customers Preferred qualifications - 6+ years of product management experience, with at least 3 years focused on enterprise software - Experience in AI/ML products or platforms - Background in identity & access management, security tools, or compliance software - Understanding of regulated industries (healthcare, financial services, government) - Technical background or experience working closely with infrastructure/platform teams - Experience with enterprise admin console design and IT buyer personas - Strong technical judgment with ability to go deep on security and infrastructure topics - Structured thinking and ability to break down complex compliance requirements into shippable features - Customer empathy with ability to understand enterprise buyer and admin personas - Execution focus with track record of shipping in fast-paced 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: $305,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Claude Code Model Performance
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 on Claude Code's model performance team, you will drive model launches end-to-end, build evals that measure what matters, and partner directly with researchers and product engineers to translate model improvements into developer-facing outcomes. Claude Code is the most capable coding agent in the world but there’s much more we can do to extract the maximum performance from our models. We're looking for a PM who has personally built agentic evals, thinks in systems, uses Claude Code every day, and has refined model taste. You should be as comfortable influencing our research team as you are getting in the weeds of transcripts. You will be the connective tissue between frontier research and the millions of developers who depend on Claude Code to do their best work. Responsibilities - Own model launch planning and execution for Claude Code: define readiness criteria, coordinate across research and product engineering, and ensure launches land cleanly with developers - Design and implement agentic evals that measure real-world coding performance - Drive the engineering team's eval roadmap - Partner with researchers working on coding capabilities to define target behaviors and influence model development with evidence from real usage - Talk with users and analyze transcripts to understand capability gaps and turn research progress into shipped improvements - Synthesize signal from internal users, external developers, and competitive benchmarks into clear priorities You might be a good fit if you - Have personally built agentic evals (e.g. SWE-bench-style task suites) - Are a daily Claude Code user and can articulate what behaviors you’d want to change or add to the model - Have an engineering background and 2+ years in product management, or equivalent experience driving product direction as an engineer - Have a deep grasp of AI concepts and are comfortable going deep on model behavior, prompt engineering, and evaluation methodology - Are a systems thinker: when you find a problem, you build the infrastructure that prevents its whole class - Have launched products or capabilities in ambiguous, research-adjacent environments - Have a creative, hacker spirit and love solving puzzles San Francisco and Seattle only The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Management, Research
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new models and products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize credible applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You thrive in ambiguous environments and can uncover latent, non-obvious use cases for nascent technologies, bringing these insights back to research. Your curiosity about user needs enables you to connect advanced technology to products that deliver real-world value. We seek experienced founders and product managers who can bridge research and ambitious product experimentation, with the ability to create and grow entirely new product categories enabled by AI. Responsibilities: - Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems - Partner with research to define, improve, and ship model capabilities within a research area - Identify nascent research that could become transformative products - Synthesize user insights into actionable requirements and evaluations - Understand the AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position - Work with and influence a diverse set of stakeholders, including research, product engineering, and platform engineering teams Minimum Qualifications You might be a good fit if you: - Have a deep passion and curiosity for AI and LLMs. Use AI regularly. - Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions - Possess a deep technical background with a strong grasp of AI/ML concepts and are willing to go deep on technical solutions; have a data-driven mindset with working proficiency in Python and SQL - Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities - Have a track record of launching ambitious products that have achieved distribution or commercial success - Have intellectual curiosity without ego—comfortable asking questions and learning independently - Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks - Have a creative, hacker spirit and love solving puzzles Preferred Qualifications - Have 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Management, Human Data Platform
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 Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next. Responsibilities - Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility - Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment - Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage - Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time - Sit in on crowd worker and vendor sessions to systematically understand pain points - Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores Minimum Qualifications You May Be a Good Fit If You - Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well - Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy - Shipped products where they had to deeply understand technical constraints, not just translate requirements - Experience working directly with research teams, ideally in AI/ML contexts - Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology - Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective - Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data Preferred Qualifications Strong Candidates May Also Have - Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines - Experience working with researchers who are internal users/customers - Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows - Strong project management skills: prioritization, communicating across team/org boundaries The ideal candidate has the following virtues/values: - Have 5+ years in product management, with experience launching new products and scaling existing products. - Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn - Autonomous learning: Able to independently figure out how systems work and develop expertise quickly - Researcher EQ: Deep understanding of how researchers think and what motivates them - Product creativity: Ability to see novel product opportunities emerging from research capabilities - Founder mentality: Track record of doing whatever it takes to ship highly technical products The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Design, Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about craft—the details that make something feel polished and trustworthy—but we ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. This role is a mix of team leadership and hands-on design execution. As a designer, we're looking for someone who ships fast and stays in motion—you'd rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, you're already using tools like Claude Code to extend what you can build, and you pay attention to where model capabilities are heading, not just what Claude can do today—all while keeping care for the pixels, the copy, and the edge cases. As a leader, you develop talent: you've mentored designers and helped them grow their skills, confidence, and impact, and you give clear, actionable feedback. You build alignment without authority, influencing cross-functional partners through strong communication and collaborative problem-solving rather than hierarchy. You know when to roll up your sleeves and when to empower your team—modeling the quality bar while creating opportunities for others to lead. You think systematically, establishing reusable frameworks that help the team work more effectively, and you advocate strategically, representing design in leadership discussions and helping shape product direction rather than just executing on it. Read more here for the type of features we build. Key responsibilities Team leadership - Manage and mentor 2-6+ product designers, providing regular coaching, feedback, and career development support - Establish and maintain design quality standards across your team's work - Coordinate cross-team design efforts, ensuring consistency and alignment across related product areas - Partner with engineering and product leadership to define team roadmaps and prioritize design resources - Advocate for design within the broader organization and help shape product strategy - Contribute to hiring, onboarding, and building design team culture - Help define and evolve design processes, tools, and ways of working Design execution - Contribute to the strategic direction of our tools, rooted in deep user empathy - Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows - Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology - Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps - Rapidly prototype ideas using code and other methods to communicate concepts and build excitement - Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications - Experience managing or leading product designers, including coaching, feedback, and career development - Experience designing and shipping digital products end-to-end - A portfolio demonstrating user-centered design thinking and polished UI craftsmanship - Proficiency with modern design and prototyping tools, such as Figma Preferred qualifications - 8+ years of product design experience, with 2+ years in a lead or management role - Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Experience using AI tools such as Claude Code as a creative partner in your own design practice - Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority - Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Policy Partnerships & Convenings Lead, Central Pol...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a new member of our Central Policy team to build and lead the Partnerships and Convenings function. This function is responsible for policy strategy with a wide range of multinational civil society organizations, industry actors, and other third parties, along with the events through which policy relationships are built and sustained. You will manage a team comprising both Policy Partnerships and Policy Events experts. Your charge is to make the sum of that work strategically coherent, globally scalable, and accountable to Anthropic's policy goals. The Central Policy team sits at the operational heart of Anthropic's policy function — distinct from government relations and communications, but essential to enabling both. We focus on building the systems, resources, and scalable programs that empower our broader policy team to succeed. You'll work closely with our federal affairs, state and local affairs, international affairs, national security, policy communications, and research teams. This is a builder's role as much as a manager's. You and your team will be tasked with standing up credible partnership and events programs at speed. This function will serve as a bridge between a wide range of Anthropic's teams on one side, and third-party policy stakeholders on the other. Successful candidates will demonstrate a track record of operational and policy excellence. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about the safe development of AI systems, and we build partnerships with other policy actors through proactive, opinionated, substantive policy conversations. Success in this role requires being a trusted partner both to cross-functional colleagues and external actors. This role requires approximately 25% travel, including international travel to priority regions and travel to Anthropic offices for alignment and planning sessions. Key responsibilities - Own Anthropic's global partnerships strategy, coordinating across internal teams to translate the company's policy campaigns into a coherent, rigorously tracked portfolio of coalitions, alliances, memberships, and third-party relationships across regions - Scope and execute policy partnerships programs, including in regions of the world where Anthropic is newly expanding its footprint and relationships, vendors, or precedents may not yet exist - Manage the policy events portfolio, including Anthropic-hosted tentpole programs and Anthropic's presence at partner conferences - Build and maintain relationships with key third-party stakeholders, including civil society, academic, and private-sector leaders, and represent Anthropic and its policy positions directly in those settings - Create and maintain the systems that track, measure, and optimize the partnerships and convenings portfolio, including how the team reports impact to Anthropic's leadership - Manage, develop, and retain a small team: setting priorities, clarifying scope, and holding a high bar for judgment and execution - Build the playbooks, templates, and delegation model that allow regional policy teams to execute partnership and event programs consistently without central bottlenecks Minimum qualifications - Have directly managed people doing substantive external-facing policy work, and can point to colleagues whose careers advanced under you - Have stood up credible programs in unfamiliar markets on compressed timelines — entering a country or region with no existing relationships and producing meaningful policy outcomes quickly - Excel at cross-functional project and program management, with a proven track record managing complex programs spanning research, policy, legal, and communications teams with competing priorities - Are comfortable making judgment calls in ambiguous situations — able to synthesize incomplete information from multiple teams, identify blockers, and drive decisions when strategic direction is evolving - Exercise sound judgment on prioritization, managing stakeholder expectations with clarity and directness, including when the answer is no - Understand U.S. federal, state, and local policy dynamics and can orient quickly in new jurisdictions - Are comfortable with budget ownership and financial accountability Preferred qualifications - 12+ years of experience building and leading partnerships efforts at leading technology companies, advocacy organizations, or government, including 3+ years managing high-performing teams - Track record of effective, information-rich advocacy with third-party and policy audiences - Experience building and leveraging coalitions, including industry and civil society stakeholders, to inform and influence policy actors - Experience working with communications teams to craft media and messaging campaigns for policy - Ability to hold a high bar on events — know the difference between a convening that moves policy and one that merely happens - Experience educating policy audiences about AI/ML or other complex technical topics - Experience leading policy or partnerships work outside the United States, particularly in markets where a company is establishing its first presence - Experience in high-growth technology companies, or as an early functional hire building a team from one person to several The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $295,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Policy Communications Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced Policy Communications Manager to help drive external communications for our security, governance, and responsible scaling programs, and associated work. This role offers the opportunity to help shape how Anthropic communicates about our approach to developing secure AI systems and products, our work to uphold and iterate on our Responsible Scaling Policy framework, and the unique corporate structure that keeps the company accountable to its mission, including our Long-Term Benefit Trust (LTBT) and our status as a public benefit corporation. You'll partner closely with our security, product, legal, governance, and Responsible Scaling Policy (RSP) teams to communicate Anthropic's approach to building safe and secure AI models as the technology becomes increasingly capable across critical domains like cybersecurity. You'll also help lead communications about how Anthropic is governed: the role of the LTBT's independent trustees in overseeing the company and electing members of our board, the obligations that come with our public benefit corporation charter, and why we believe this structure matters as AI systems grow more powerful. As governments establish regulatory frameworks for frontier AI, you'll help articulate how Anthropic approaches its transparency obligations and public reporting commitments, translating evolving requirements into clear, credible external communications. This will include balancing proactive storytelling about product security updates and launches with thoughtful handling of reactive matters as they arise. We're charting new terrain communicating about fast-moving frontier model capabilities and threat surfaces, and about institutional structures few other companies have built. You'll bring strong communications fundamentals to the role but recognize that traditional approaches may not map cleanly to the novel issues we're tackling. The ideal candidate is an experienced issues handler with strong executive management skills, attention to detail, and the judgment to navigate sensitive topics with care. You should be able to move quickly under pressure and tight deadlines, write crisply, and distill complex security, governance, and technical topics for a broad audience while maintaining accuracy. This is a unique opportunity to help define how one of the world's leading AI safety companies communicates about the security and governance challenges that will shape the future of the technology. Key responsibilities: - Develop and execute communications strategies for Anthropic's approach to AI security, governance, and responsible scaling - Drive external communications about Anthropic's corporate governance, including the Long-Term Benefit Trust and our public benefit corporation status, explaining how these structures provide independent oversight and accountability to our mission - Serve as a trusted communications partner to security, product, legal, governance, and RSP leaders on sensitive, fast-moving matters - Develop proactive communications around emerging regulatory frameworks and transparency obligations, including public reporting commitments, disclosure requirements, and Anthropic's engagement with oversight bodies - Manage reactive inbound media requests on complex security and governance topics - Build and maintain relationships with journalists and influencers covering security, corporate governance, and technology policy - Prepare executives for media interviews, speaking engagements, and public appearances, developing thought leadership opportunities that position Anthropic's leaders as credible voices on AI security, governance, and responsible development - Write blog posts, statements, talking points, and other communications materials that explain our security, governance, and responsible scaling work clearly and accessibly, maintaining accuracy - Support reactive communications efforts with speed, accuracy, and sound judgment Minimum qualifications: - Experience in policy communications, including managing communications around complex security or governance topics - Excellent written and verbal communication skills, with the ability to distill complex technical topics accurately for broad audiences - Experience in issues management and developing reactive communications under pressure and tight timelines - Strong executive management skills and a proven ability to work seamlessly across technical and non-technical teams - A track record of building media relationships - A results-oriented, high-agency working style, with a bias toward flexibility and impact - Comfort operating in new terrain, where the technology is evolving quickly and the right communications approach may not yet exist - A deep commitment to ensuring that transformative AI systems are developed safely Preferred qualifications: - 8+ years of experience in policy communications, ideally at a high-growth technology company - Experience communicating about corporate governance, regulatory affairs, or oversight structures, and comfort explaining novel institutional arrangements to broad audiences - Existing relationships with security, governance, and tech policy reporters and influencers 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.
Platform Security Engineering, Operating Systems
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for an Operating Systems Security Engineer to harden and secure the OS layer of our infrastructure. You'll be responsible for designing and implementing OS-level security controls, from kernel hardening to runtime protection, ensuring our systems can withstand sophisticated attacks while maintaining the performance required for AI model training. This is a hands-on role where you'll work with cutting-edge hardware and implement novel security solutions for environments that don't exist anywhere else in the world. You'll need to balance extreme security requirements with the operational needs of researchers training models at unprecedented scale. Key responsibilities - Design and implement hardened OS configurations for AI workloads across diverse hardware platforms - Minimize attack surfaces by removing as many unnecessary components as possible from kernelspace and userspace - Develop kernel security policies using SELinux, AppArmor, and custom Linux Security Modules and runtime enforcement mechanisms - Implement and maintain full-disk encryption solutions for diverse storage systems - Build security infrastructure for AI systems, research environments, and production services - Create OS-level attestation and integrity monitoring systems - Apply security patches, develop patches for custom kernel modules, and kernel hardening configurations - Design secure boot processes and trusted execution environments - Work with container teams to ensure proper workload isolation at the kernel level - Design privilege separation and mandatory access control policies - Implement secure update mechanisms for OS components - Build tooling for security configuration management and compliance verification - Serve as a subject matter expert for OS security questions and designs Minimum qualifications - Deep knowledge of Linux internals, including kernel subsystems and security frameworks (SELinux, AppArmor, seccomp, etc.) - Experience with kernel hardening techniques and exploit mitigation - Strong programming skills in C and systems programming languages - Experience with eBPF for security monitoring and enforcement - Understanding of virtualization and containerization security - Track record of identifying and fixing OS-level security vulnerabilities - Experience with security-focused Linux distributions Preferred qualifications - 5+ years of experience in operating systems security or kernel development - Kernel development experience or contributions to Linux kernel - Experience with real-time or embedded operating systems - Knowledge of hardware security features and their OS integration - Experience with secure boot technologies - Experience with confidential computing and memory encryption technologies (SEV, TDX, SGX) - Background in vulnerability research, exploit development, or fuzzing - Experience with formal methods for OS verification - Knowledge of hardware security features and their OS integration (TPM, HSM, secure enclaves) 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.
Platform Hardware Security
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up. This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet. Key responsibilities - Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) - Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer - Develop measured boot implementations and runtime integrity monitoring - Create reference architectures and security requirements for bare-metal deployments - Integrate security controls with infrastructure teams without impacting training performance - Prototype and validate security mechanisms before production deployment - Conduct firmware vulnerability assessments and penetration testing - Build firmware analysis pipelines for continuous security monitoring - Document security architectures and maintain threat models - Collaborate with software and hardware vendors to ensure security capabilities meet our requirements Minimum qualifications - Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone) - Strong understanding of cryptographic protocols and hardware security modules - Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation - Proficiency in low-level programming (C, Rust, Assembly) and systems programming - Knowledge of firmware vulnerability assessment and threat modeling - Track record of designing security architectures for complex, distributed systems - Experience with supply chain security - Ability to work effectively across hardware and software boundaries - Knowledge of NIST firmware security guidelines and hardware security frameworks Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) - Experience with confidential computing technologies and hardware-based TEEs - Knowledge of SLSA framework and software supply chain security standards - Experience securing large-scale HPC or cloud infrastructure - Contributions to open-source security projects (coreboot, CHIPSEC, etc.) - Background in formal verification or security proof techniques - Experience with silicon root of trust implementations - Experience working with building foundational technical designs, operational leadership, and vendor collaboration - Previous work with AI/ML infrastructure security 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.
Performance Engineer, Inference Systems
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance. Key Responsibilities - Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them - Own and improve the correctness evaluation pipeline that validates model output quality across hardware platforms, numerics, and serving configurations, and lead the investigation when it catches a regression - Build the observability, dashboards, and modeling tools that make throughput, latency, cost, reliability, correctness, and their interactions legible across the stack - Partner with kernel, serving, routing, autoscaling, and capacity teams to prioritize and land the highest-impact optimizations your analysis surfaces - Ruthlessly stack-rank a large surface area of opportunities by impact and effort, and say no to the ones that don't make the cut Minimum Qualifications - Hands-on performance engineering experience: profiling, roofline analysis, latency/throughput optimization, and root-cause investigation in complex production systems - Proficiency in Python, with the ability to read, instrument, and contribute to large production codebases you didn’t write - Solid data analysis skills (e.g. SQL, pandas, or similar) sufficient to turn raw telemetry into clear findings - Ability to communicate quantitative results clearly in writing to influence priorities on teams you don't manage - Genuine interest in correctness as an engineering discipline: numerics, evaluation design, regression detection Preferred Qualifications - Experience with ML systems, especially training or inference infrastructure or general LLM serving stacks. Direct large-scale inference experience is a strong plus - Familiarity with GPU/TPU/accelerator performance concepts (memory bandwidth, kernel overheads, quantization, collective communication). Reasoning about these matters more than having written kernels yourself - Experience with reliability engineering for high-throughput services: autoscaling, load balancing, request routing, tail latency - Experience with model evaluation or numerical regression-detection pipelines - Experience building observability or telemetry for distributed systems - Comfortable having impact through influence and evidence rather than direct ownership Representative Projects - Trace a 350ms latency gap on a new accelerator platform from end-to-end request timing down to a server scheduling overhead, quantify the win, and land the fix directly or with the owning team - Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends - Build a FLOPs funnel that breaks down where compute actually goes across the fleet, exposing the gap between achieved throughput and kernel rooflines - Root-cause a numerical divergence between two hardware platforms to a specific kernel change, and define the acceptance threshold going forward - Model the latency–cost impact of changing batch-sizing and utilization targets, and turn the result into the signal the autoscaler uses in production Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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. 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.
Performance Engineer, GPU
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: Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency. Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization. Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers. You might be a good fit if you: - Have deep experience with GPU programming and optimization at scale - Are impact-driven, passionate about delivering measurable performance breakthroughs - Can navigate complex systems from hardware interfaces to high-level ML frameworks - Enjoy collaborative problem-solving and pair programming - Want to work on state-of-the-art language models with real-world impact - Care about the societal impacts of your work - Thrive in ambiguous environments where you define the path forward Strong candidates may also have experience with: - GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization - ML Compilers & Frameworks: PyTorch/JAX internals, torch.compile, XLA, custom operators - Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight - Distributed Systems: NCCL, NVLink, collective communication, model parallelism - Low-Precision: INT8/FP8 quantization, mixed-precision techniques - Production Systems: Large-scale training infrastructure, fault tolerance, cluster orchestration Representative projects: - Co-design attention mechanisms and algorithms for next-generation hardware architectures - Develop custom kernels for emerging quantization formats and mixed-precision techniques - Design distributed communication strategies for multi-node GPU clusters - Optimize end-to-end training and inference pipelines for frontier language models - Build performance modeling frameworks to predict and optimize GPU utilization - Implement kernel fusion strategies to minimize memory bandwidth bottlenecks - Create resilient systems for planet-scale distributed training infrastructure - Profile and eliminate performance bottlenecks in production serving infrastructure - Partner with hardware vendors to influence future accelerator capabilities and software stacks Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: 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 - $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.
Performance Engineer
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: Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also. You may be a good fit if you: - Have significant software engineering or machine learning experience, particularly at supercomputing scale - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Enjoy pair programming (we love to pair!) - Want to learn more about machine learning research - Care about the societal impacts of your work Strong candidates may also have experience with: - High performance, large-scale ML systems - GPU/Accelerator programming - ML framework internals - OS internals - Language modeling with transformers Representative projects: - Implement low-latency high-throughput sampling for large language models - Implement GPU kernels to adapt our models to low-precision inference - Write a custom load-balancing algorithm to optimize serving efficiency - Build quantitative models of system performance - Design and implement a fault-tolerant distributed system running with a complex network topology - Debug kernel-level network latency spikes in a containerized environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 - $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.
People Research Scientist, Recruiting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company. Responsibilities Research design & scientific inquiry - Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire - Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods - Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations. - Navigate research ethics considerations when studying candidate data, ensuring responsible research practices Selection & assessment research - Design and execute validation studies to assess the quality of interviews and other selection tools - Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency - Lead investigative research into innovative approaches for candidate assessment Metrics design and governance - Design the metrics framework for recruiting org health — defining the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality - Establish the governance and definitional rigor that keeps metrics consistent across tools and reporting surfaces Analytical solution building - Architect analytical solutions that convert research insights into actionable products, empowering stakeholders to execute data-driven scenario and strategic planning - Quantify the adoption and downstream impact of deployed tools, driving iterative improvements Visualization & communication - Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences - Present research findings to senior leadership with clear, actionable recommendations Minimum Qualifications: - Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field - Have experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics - Are comfortable working in the People Analytics tech stack and collaborating with data engineers - Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning - Have experience with data visualization and can tell compelling stories with research findings - Possess excellent communication skills and can influence stakeholders at all levels - Thrive in ambiguity and can balance rigor with pragmatism - Have a track record of challenging assumptions with data and changing long-held practices - Can navigate sensitive topics diplomatically while maintaining analytical rigor - Demonstrate intellectual humility and comfort with iterative discovery - Use data to improve how organizations find, assess, and hire talent Preferred Qualifications: - 5 + years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise - Background in recruiting analytics specifically (not just general analytics) - Experience running interview or assessment validation studies - Experience building self-service analytics tools or dashboards - Previous experience in high-growth technology companies or AI/ML organizations - Familiarity with network analysis, machine learning, or advanced statistical methods - Experience with BigQuery and modern data stack tools - Experience with Greenhouse, Gem, ModernLoop, or similar recruiting tools 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: $285,000 - $380,000 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.
People Partner, Tokyo
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 exceptional HR Business Partner based in Tokyo, Japan to support our rapidly growing international teams at Anthropic. This highly visible and cross-functional role will support leadership in the region and help build out our HR policies and strategies, and act as a trusted leader and guide on a wide range of employee-related topics. Responsibilities: - Act as a trusted advisor to managers and leaders in region on HR-related topics and help to guide our human resources strategy as we scale - Provide support to employees and managers on all human resource-related topics throughout their lifecycle at Anthropic in partnership with other People team experts (e.g. Benefits, Compensation, etc.) - Work closely with management to create a culture of high performance based on our values while helping ensure that performance management and employee relations issues are managed according to local law and practice - In partnership with specialist teams (e.g. Benefits, Compensation, etc.), leadership, and finance, help build and implement top-tier, scalable programs and policies to attract and retain and grow outstanding talent at Anthropic - Partner with our people infrastructure & integrity, legal, and compliance teams to ensure the right infrastructure is in place and operating in our offices. - Help ensure compliance with local law and best practices, including immigration and background checks, in consultation with specialist teams and employment legal as appropriate You may be a good fit if you: - Have a minimum of 10 years experience working in HR, People Operations, Employee Relations, or other closely related functions - Have experience operating at a global company, and relative fluency with Japan (and other APAC region) specific HR and employment policies and best practices - Have worked at a tech company, start-up, or a similarly fast-paced environment - Fluent in Japanese and English Strong candidates may also: - Care deeply when it comes to helping and supporting a diverse set of people at all levels of an organization, excelling in supporting employees and managers to do their best work - Have proven experience and skill sets in providing confidential, practical support and are trained in topics like conflict resolution - Have strong working knowledge of human-resource-related best practices and are able to effectively implement these in a culturally appropriate fashion - Be a pragmatic problem-solver and enjoy developing creative solutions - Thrive in building and scaling processes, and enjoy identifying and setting up new systems at a quickly growing company - Care about ensuring that advanced AI systems are developed safely, and have at minimum a basic interest in artificial intelligence and its potential applications 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.
Partner Solutions Architect, Applied AI
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 (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. - Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems - Fluent in Japanese and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Partnerships Lead Southern Europe
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. Responsable des partenariats AWS, Europe du Sud À propos du poste Anthropic recrute un responsable des partenariats AWS pour piloter et développer notre stratégie de co-vente AWS en Europe du Sud. Vous serez l'un des premiers membres de notre équipe GTM AWS EMEA — une opportunité rare de définir le modèle de collaboration commerciale entre Anthropic et AWS dans la région, à partir de zéro. Vous représenterez Anthropic auprès des équipes commerciales d’AWS en Europe du Sud. Vous développerez le pipeline d’opportunités commun, mènerez des actions de co-vente auprès des grands comptes et façonnerez la manière dont la technologie IA de pointe atteint le marché dans le cadre de l’un de nos partenariats les plus stratégiques. Vous évoluerez avec peu de structure locale en place, et c’est précisément l’enjeu. Vous définirez la stratégie, influencerez les parties prenantes des deux organisations et ferez évoluer un partenariat naissant en un véritable moteur de croissance. Il s'agit d'un rôle à fort impact, de création ex nihilo, pour quelqu'un qui s'épanouit dans l'ambiguïté, qui possède une solide expérience des partenariats cloud et qui souhaite contribuer à la commercialisation de l'IA de pointe de manière sûre et responsable. Principales responsabilités : - Prendre en charge les actions de co-vente AWS et la stratégie GTM dans l’Europe du Sud, notamment en France, en Italie, en Espagne et sur les marchés environnants - Établir et entretenir des relations de confiance avec les dirigeants et les équipes de terrain des organisations partenaires et commerciales d'AWS dans la région - Élaborer et exécuter des plans d'affaires conjoints, des stratégies de co-vente et des programmes d'activation adaptés aux marchés du Sud de l'Europe - Développer le pipeline d’opportunités, contribuer à son accélération et générer des revenus via AWS, en assurant les prévisions et l’atteinte des objectifs régionaux - Collaborer étroitement avec les équipes commerciales, marketing partenaires, marketing produits et partenariats internationaux d’Anthropic afin d’aligner l’exécution régionale sur la stratégie globale - Concevez et organisez des engagements clients, des moments marketing et des activités commerciales conjoints afin d'accélérer l'adoption d'Anthropic sur AWS - Fournir des informations sur le marché et une analyse concurrentielle aux équipes produit et GTM afin d'orienter notre positionnement dans la région - Animer des revues d'activité régionales avec la direction régionale d'AWS et les parties prenantes internes Qualifications requises : - Expérience en matière de partenariats stratégiques, de partenariats cloud ou de ventes aux entreprises dans le secteur des technologies d'entreprise - Expérience directe de partenariat ou de travail au sein d'un hyperscaler (AWS, Google Cloud, ou Azure) - Expérience avérée dans la création de partenariats cloud à partir de zéro, en mettant en place des initiatives sans grande équipe locale ni manuel préexistant - Connaissance du paysage des entreprises du Sud de l’Europe et de l’écosystème cloud qui y opère - Expérience dans la gestion d’objectifs de pipieline et de revenus, avec une solide compréhension des dynamiques économiques des partenaires et des clients - Aisance dans les environnements incertains et forte orientation vers l’action et la construction Qualifications souhaitées : - Plus de 7 ans d’expérience en technologies d’entreprise, avec un temps significatif consacré à des postes mêlant ventes SaaS et partenariats - Excellente connaissance d’AWS en particulier (par rapport à Google Cloud ou Azure) - Expérience dans une start-up en phase de croissance avancée ou de démarrage, en particulier une entreprise ayant développé sa présence EMEA depuis une base limitée - Expérience de travail avec des entreprises orientées développeurs (par exemple, Snowflake, Databricks, Datadog) et leurs partenariats cloud - Exposition à l'IA/ML ou aux LLM, que ce soit dans un cadre commercial ou par curiosité personnelle - Expérience en conseil en management au début de votre carrière - Maîtrise de l’anglais et du français ; l’italien ou l’espagnol serait un plus - Forte capacité à naviguer au sein d’organisations partenaires complexes et à identifier les leviers pour influencer les cadres supérieurs AWS Partnerships Lead, Southern Europe About the role Anthropic is hiring an AWS Partnerships Lead to own and scale our AWS co-sell motion across Southern Europe. You will be an early member of our EMEA AWS GTM team, giving you the rare opportunity to build the playbook for how Anthropic and AWS go to market together in the region — from the ground up. You'll be the face of Anthropic to AWS field teams across Southern Europe, driving joint pipeline, co-selling into enterprise customers, and shaping how frontier AI technology reaches the market through one of our most strategic partnerships. You'll work with limited local scaffolding — which is the point. You'll define the motion, influence stakeholders on both sides, and turn a nascent partnership into a material revenue engine. This is a high-impact, zero-to-one role for someone who thrives in ambiguity, has deep cloud partnerships DNA, and wants to help commercialize frontier AI safely and responsibly. Key responsibilities - Own the AWS co-sell and GTM motion across Southern Europe, including France, Italy, Spain, and surrounding markets - Build and maintain trusted executive and field-level relationships across AWS partner and sales organizations in the region - Develop and execute joint business plans, co-selling strategies, and enablement programs tailored to Southern European markets - Drive pipeline creation, pipeline influence, and revenue through AWS, owning forecasting and attainment against regional targets - Partner cross-functionally with Anthropic's Sales, Partner Marketing, Product Marketing, and global Partnerships teams to align regional execution with global strategy - Design and run joint customer engagements, marketing moments, and sales plays that accelerate adoption of Anthropic on AWS - Provide market intelligence and competitive insight back into product and GTM teams to inform how we show up in the region - Lead regional business reviews with AWS regional leadership and internal stakeholders Minimum qualifications - Experience in strategic partnerships, cloud partnerships, or enterprise sales within the enterprise technology sector - Direct experience partnering with or working inside a hyperscaler (AWS, Google Cloud, or Azure) - A track record of building cloud partnerships from zero to one — standing up motions without a large local team or pre-existing playbook - Knowledge of the Southern European enterprise landscape and the cloud ecosystem operating across it - Experience owning pipeline and revenue targets, with commercial acumen around partner and customer economics - Comfort with ambiguity and a bias toward building Preferred qualifications - 7+ years of enterprise technology experience, with meaningful time spent in a blend of SaaS sales and partnerships roles - Strong familiarity with AWS specifically (versus Google Cloud or Azure) - Experience at a late-stage growth or early-stage startup, especially one that scaled its EMEA presence from a small base - Background working with or alongside developer-focused companies (e.g., Snowflake, Databricks, Datadog) and their cloud partnerships - Exposure to AI/ML or LLMs, either commercially or through personal curiosity - Management consulting experience earlier in your career - Working proficiency in English and French; Italian, or Spanish would be a bonus - Strong ability to navigate complex partner organizations and find the right path to influence senior stakeholders 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.
Partner Manager, Global Health
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, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. About the Role We're looking for a Partnerships Manager to drive forward the clinical AI research agenda for Anthropic's global health work — informing the tools that bring Claude safely into care and generating the evidence that proves they work. You'll help define how clinical AI tools should be validated for use in low- and middle-income countries (LMICs), and you'll help shape the tools and safeguards that make Claude safe and usable in clinical settings. This is a hands-on role as much as a research one: you'll work side by side with Anthropic's research, evals, and product teams, translating what you know from how care actually gets delivered in low-resource settings into evaluations, safeguards, and product improvements. You'll join a small, tight-knit global health team within Beneficial Deployments. While you'll lead on this domain, you should expect to roll up your sleeves on adjacent workstreams, help shape overall team strategy, and be a thought partner to colleagues working on other parts of the health system. Everyone on the team owns the whole mission, not just their lane. Key responsibilities - Own the clinical research and evaluation agenda for our global health work — define what we need to prove, to what standard, and with whom, and drive it. - Design clinical evaluations and validation frameworks for LLMs in LMIC contexts, covering accuracy, safety, multilingual performance, and real-world conditions, in close partnership with Anthropic's research, evals, and product teams. - Develop theories of change and outcome metrics connecting model capability to care quality, health-worker performance, and patient outcomes. - Build and manage our global research partnerships, and engage with relevant regulatory and normative bodies (WHO, national authorities, research-ethics bodies). - Partner with internal research and product teams to improve Claude for clinical use cases in low-resource settings. Stay grounded in how care is actually delivered in LMICs so our tools and evaluations reflect those realities. - Contribute across the broader global health portfolio — lean in on adjacent workstreams, help set strategy, and be a thought partner to the team. Minimum qualifications - Medical training and clinical practice (MD, GP, MBBS, DO, or equivalent), with direct experience delivering care in low-resource settings — you reason fluidly from how diagnosis, triage, treatment, and referral actually happen at the point of care in low and middle income countries. - A concrete, on-the-ground understanding of clinical and care-delivery workflows in LMICs, and what they mean for how AI tools must be designed and evaluated. - Direct experience evaluating or validating clinical AI/ML tools — you understand the gap between benchmark performance and real-world clinical safety. - Deep expertise in clinical research and evidence generation for digital health or AI tools, with a clear view of what counts as credible evidence for clinical safety and effectiveness. - A strong command of the regulatory and normative landscape for clinical AI, including WHO processes, national regulatory authorities in LMICs, and research ethics. - A track record of building research partnerships with academic and in-country researchers, treating local partners as scientific collaborators rather than data-collection sites. - High agency, a strong team orientation, and comfort with ambiguity — you pitch in outside your lane and thrive building the plane while flying it. - A genuine drive to maximize impact for underserved communities, and willingness to travel regularly to research and partner sites (~25%). Preferred qualifications - Hands-on experience building or shaping AI/ML products or tooling — eval harnesses, agentic scaffolding, grounding and guardrails, or clinical decision-support workflows. - A publication record in digital health, clinical AI evaluation, or implementation science. - Experience at a healthtech or AI company in clinical validation, clinical quality, or medical affairs. - Experience working with philanthropic funders on evidence generation or research strategy. - Direct clinical experience in a low- or middle-income country, including with humanitarian or global-health delivery organizations. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
National Security Policy Lead, Biotech
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 Biotech Policy Lead to lead our work on the biological dimensions of frontier AI policy. Reporting to the Head of National Security Policy, you will shape and lead Anthropic's external policy posture on biology issues across the U.S. federal government, allied democracies, and the biotech and life sciences community, and will help shape how AI strengthens US competitiveness through biotechnology during a critical period in AI development and governance. You will serve as Anthropic's principal biotech policy voice with the federal government and Congress, relevant agencies and program offices, and allied government counterparts. You will translate Anthropic's research on frontier model biological capabilities into concrete policy proposals, partnership opportunities, and meaningful contributions to public debates. Key responsibilities - Develop strategies for AI to strengthen U.S. and allied bio-innovation capacity and biotechnology competitiveness - Develop and lead Anthropic's external biotech policy strategy across U.S. federal stakeholders, allied governments, and life sciences sector regulators - Engage in thought leadership and planning for how increasingly capable AI reshapes the biotechnology landscape — including global competitiveness, supply chain resilience, and equitable access to AI-accelerated medicine, as well as biosecurity - Support and promote collaborations with biosecurity practitioners and biotech industry players across public and private sectors, including on model testing, red teaming, synthesis-screening partnerships, and defensive deployment of frontier AI in biosurveillance - Collaborate with technical teams, including CBRNE Safeguards, the Frontier Red Team, and our biology research efforts, to translate biological model research and evaluations into concrete policy proposals, stakeholder education, and public contributions - Coordinate with national security policymakers on threat intelligence sharing and safeguard implementation, working closely with Anthropic's CBRNE Safeguards team - Drive "race to the top" dynamics across the AI industry, including engagement with other frontier labs and the Frontier Model Forum on shared bio standards and safeguard adoption - Build and deepen international biotech partnerships, including with Five Eyes counterparts and multilateral institutions, and contribute to thinking on areas of potential international alignment on biotech competitiveness and biological safety - Partner closely with the Head of National Security Policy, the broader Public Policy team, Safeguards, the public sector go-to-market team, Legal, Communications, Product, and Research to ensure coherent execution across bio workstreams Minimum qualifications - Hold an active TS/SCI clearance or held one in the last two years, and have the ability to obtain and maintain one - Have working knowledge of both biotech and biosecurity policy — e.g., bio-innovation capacity, synthesis-screening infrastructure, regulatory pathway reform - Bring deep familiarity with the institutions and authorities that shape U.S. biotech policy, including FDA, NIH, DoW, USDA, Commerce, DOE, NSC, and relevant Congressional committees, as well as allied bio-relevant agencies - Have a track record of effective, information-rich advocacy with biotech regulators, sector agencies, and Congressional committees of jurisdiction - Possess scientific fluency in the biological sciences sufficient to engage credibly with technical researchers and translate AI and bio capabilities for policy audiences, whether through formal training or sustained professional work on biotechnologies - Have experience designing and advocating for concrete bio policy and regulatory proposals - Are adept at working with diverse cross-functional teams, including but not limited to technical research, go-to-market, trust and safety, legal, product, communications, and marketing - Possess exceptional written and verbal communication skills, particularly when briefing senior policymakers and government officials - Are high-agency, able to develop and execute strategy independently while accounting for dependencies across teams - Have demonstrated interest and experience in a complicated technical subject (ideally AI, but other examples could be synthetic biology, genomics, or medical countermeasure development) Preferred qualifications - Have 10+ years of experience in biotech or biosecurity policy roles across government, the private sector, or both, with senior-level exposure to U.S. federal policymaking and international counterparts - Experience contributing to national biotech strategy frameworks (e.g., National Biotechnology and Biomanufacturing Initiative, synthesis-screening standards, FDA modernization proposals) - Experience leading or supporting public-private partnerships on biotech capacity at scale - Direct prior experience in biotech roles at HHS, DoW, Commerce, NSC, or comparable allied biotech institutions - Familiarity with biotech industrial dynamics across pharma, agriculture, and industrial biomanufacturing sectors - Experience assessing dual-use technology risks, including early work on AI-enabled biological risks - Experience engaging international partners on biotech policy and biological threat reduction The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $295,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Model Performance Software Engineer, Claude Code
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself. Responsibilities - Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team - Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap - Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years - Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion - Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them - Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale - Partner with research leads to translate ambiguous research questions into durable engineering solutions - Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health You may be a good fit if you: - Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization - Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams - Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates - Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability - Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction - Are a power user of agentic coding tools with deep intuition about model capabilities and limitations - Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly - Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of - Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both Strong candidates may also have experience with: - Designing or scaling eval/evaluation frameworks for ML systems - Reinforcement learning infrastructure or training systems - Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm - Research computing, scientific infrastructure, or developer platforms at scale - A strong quantitative foundation (math, physics, or related fields) - Expertise in Python and TypeScript The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
ML/Research Engineer, Safeguards
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 ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities - Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on - Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts - Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks - Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you - Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry - Have proficiency in Python and experience building ML systems - Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems - Are worried about misuse risks of AI systems, and want to work to mitigate them - Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with - Language modeling and transformers - Building classifiers, anomaly detection systems, or behavioral ML - Adversarial machine learning or red-teaming - Interpretability or probes - Reinforcement learning - High-performance, large-scale ML 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: $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. 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.
Mid-Market Account Executive, Tech
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 Mid-Market Account Executive on Anthropic's High Tech team, you'll drive the adoption of safe, frontier AI by securing strategic deals with tech-forward mid-market companies, unlocking new value streams throughout their business. The role sits at the intersection of consultative selling and technical fluency, helping customers empower their workforce, accelerate processes, and build products with Claude. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the ecosystem. You will be contributing to the GTM strategy for our High Tech team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. Responsibilities: - Run an end-to-end sales cycle, from first outbound to launch - Win new business and expand existing accounts - Build and execute sales strategies that drive quota attainment. Identify market opportunities, generate pipeline, and drive revenue - Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions - Leverage your technical aptitude to earn credibility with engineers, product leaders, and executives - Shape product roadmaps by gathering customer feedback and translating market needs into actionable insights for Product and Engineering teams - Contribute to the Mid-Market GTM strategy by sharing learnings, refining playbooks, and identifying process improvements that make the team more effective You may be a good fit if you have: - 4+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders - Excellent communication skills with the ability to build trust and credibility with C-level executives - Experience automating workflows or building automations to handle the repeatable components of a sales process - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely - Location: This role does require being in office 4x a week in one of our hubs 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 - $380,000 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.
Mid-Market Account Executive, Industries
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 Mid-Market Account Executive on Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. You should be passionate about building a fundamentally new sales motion, by experimenting with new programs and workflows, and ultimately evangelizing the potential of Transformative AI to mid-market companies across verticals. Responsibilities: - Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams - Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals - Own a revenue target and all aspects of the sales cycle from prospecting to close, including finding key workflows to automate and agentify - Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations - Collaborate extensively with cross-functional partners including Product, Customer Success, Legal, Marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps - Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: - 3+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies - Experience automating workflows or building automations to handle the repeatable components of a sales process - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs 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 - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely - Location: This role does require being in office 4x a week in one of our hubs 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 - $360,000 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.
Marketing Events Producer
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 Producer on Anthropic's Events Marketing team, you will own the end-to-end production of our core events—from project kickoff through on-site execution. You'll be the driving force behind how our events look, sound, and feel on stage, ensuring that every keynote, panel, demo, and audience moment is produced to the highest standard and authentically reflects Anthropic's brand and mission. This role sits at the intersection of creative vision, technical production, and program management. You'll develop run-of-show documents, manage production timelines, direct rehearsals, coordinate with AV and staging vendors, and serve as the calm, decisive presence calling the show live. Whether we're producing an intimate executive gathering or a large-scale conference, you'll bring the strategic thinking and production expertise to create experiences that inform, inspire, and engage our audiences. This is an ideal opportunity for someone who thrives in high-stakes live environments, brings deep expertise in event production and stage management, and is excited to help shape how one of the world's leading AI companies shows up on the industry stage. Key responsibilities - Own production for Anthropic's core events portfolio, including conferences, keynotes, summits, and tentpole moments, from pre-production through execution - Develop and manage all production documentation, including run-of-show scripts, cue sheets, production schedules, stage plots, and technical riders - Lead the creative and technical vision for stage design, lighting, audio, video, and scenic elements in partnership with internal creative teams and external production vendors - Direct rehearsals and speaker preparation sessions, providing coaching and feedback to ensure polished, confident presentations - Serve as the primary show caller or production lead on-site, coordinating all technical cues and managing real-time production decisions - Source, manage, and maintain relationships with external production partners including AV companies, staging vendors, lighting designers, and technical directors - Collaborate cross-functionally with marketing, communications, executive teams, and other stakeholders to translate strategic objectives into compelling show moments - Develop and manage production budgets, negotiating vendor contracts and tracking expenses against targets - Establish and evolve production best practices, templates, and processes to scale Anthropic's events program as the company grows - Conduct post-event production debriefs, capturing learnings and identifying opportunities to elevate future experiences - Stay current with emerging event production technologies, formats, and audience engagement techniques Minimum qualifications - Have a strong portfolio of produced events demonstrating your ability to manage complex, multi-element productions from concept through execution - Are deeply knowledgeable about technical production disciplines including audio, video, lighting, LED, staging, and content playback systems - Have extensive experience developing run-of-show documentation and calling or directing live shows - Excel at speaker preparation and coaching, helping executives and subject-matter experts deliver compelling stage presentations - Are a skilled project manager who can juggle multiple concurrent productions with competing timelines and stakeholders - Have strong vendor management experience, with the ability to scope, negotiate, and oversee external production partners - Communicate clearly and effectively across technical production teams, creative partners, and executive stakeholders - Remain calm and decisive under pressure, with the ability to troubleshoot and adapt in real time during live events - Are a collaborative team player who brings positive energy to high-intensity production environments Preferred qualifications - Have 10+ years of experience in live event production, show production, or technical event management, ideally with experience producing conferences, keynotes, or corporate events for technology companies - Experience producing events in the AI, technology, or enterprise software space - Background in broadcast, theatrical, or concert production that brings additional creative perspective to corporate events - Experience with hybrid or virtual event production, including streaming and broadcast workflows - Familiarity with emerging production technologies such as LED volumes, real-time graphics, or interactive audience engagement tools - Experience scaling an events program at a high-growth company, building processes and infrastructure alongside a growing team - A passion for Anthropic's mission of developing safe, beneficial AI systems and excitement about communicating that mission through live experiences Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Marketing Events Lead, Enterprise
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 Enterprise Events Lead at Anthropic, you will own the development and execution of enterprise-focused events that accelerate pipeline, deepen customer relationships, and elevate Anthropic's brand presence with key enterprise audiences. You will be responsible for designing and delivering high-impact event experiences—from major industry conferences to hosted summits, and partner activations. In this role, you'll collaborate closely with Sales, Partnerships, Product Marketing, and Creative teams to ensure every event touchpoint reinforces Anthropic's position as a leader in safe, frontier AI. You'll bring a strategic mindset grounded in data, a talent for flawless execution under pressure, and the ability to translate complex enterprise goals into compelling in-person and hybrid experiences. This is a high-visibility role with significant cross-functional impact, ideal for someone who thrives at the intersection of strategy and logistics in a fast-moving environment. Responsibilities: - Lead the development and execution of enterprise events, aligning programs to pipeline generation, account engagement, and brand objectives - Manage a team of full time and contracted employees - Conceptualize and produce hosted events such as executive roundtables, customer summits, and intimate dinners that support account-based marketing goals - Collaborate with Sales and Partnerships teams to optimize meeting programs, briefing schedules, and on-site engagement strategies at events - Partner with Creative Studio on experience design, ensuring Anthropic and Claude brands are represented consistently and compellingly - Manage end-to-end event logistics including vendor relationships, budgets, contracts, staffing plans, and timelines - Develop pre-event and post-event communications, including "Know Before You Go" guides, staff and speaker training, and attendee follow-up plans - Establish and track event KPIs—including lead generation, pipeline influence, meeting volume, and attendee engagement—to measure ROI and inform future strategy - Build scalable event processes, playbooks, and documentation to support Anthropic's growing event portfolio - Manage relationships with external event agencies, vendors, and venue partners - Travel on-site to events to provide hands-on logistics management and ensure seamless execution - Drive continuous improvement through post-event analysis and stakeholder feedback You may be a good fit if you: - Have 18+ years of experience in enterprise event marketing, field marketing, or a related role, ideally at a high-growth B2B technology company - Have a proven track record of executing large-scale conferences, trade shows, and hosted executive events that drive measurable business outcomes - Are highly organized with exceptional project management skills and the ability to manage multiple complex events simultaneously - Have experience partnering with enterprise sales teams to align event programs with pipeline and revenue goals - Are a clear, effective communicator who can collaborate across functions—from Creative and Marketing to Sales and Executive leadership - Have strong budget management experience, including vendor negotiation and contract management - Are comfortable with data and analytics, using event metrics to optimize programs and demonstrate ROI - Thrive in fast-paced, ambiguous environments and can adapt quickly when priorities shift - Are willing and excited to travel regularly (approximately 40% of the time) for on-site event execution - Have a genuine interest in AI and care about ensuring that transformative AI systems are developed and deployed responsibly Strong candidates may also: - Have experience with event technology platforms (e.g., Splash, Cvent) - Have experience building an enterprise events function or program from an early stage - Bring a strong network of event industry contacts, including venues, production agencies, and AV partners - Have experience with account-based marketing (ABM) strategies and how events fit within a broader demand generation ecosystem Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $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. 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.
Marketing Events Lead, Brand
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 Events Lead, Brand at Anthropic, you will own the strategy and execution of brand-focused events that create meaningful experiences and build Anthropic's share of mind in the AI landscape. You'll sit within the Marketing Events team and be responsible for conceptualizing, producing, and measuring events that authentically communicate who Anthropic is and what we stand for—from intimate thought leadership gatherings to large-scale brand activations at industry tentpole moments. Each experience the team creates prioritizes tangible problem-solving through live demonstrations and technical deep-dives, meaningful dialogue that advances both the technology and its responsible implementation, and direct business impact through growing brand awareness and customer affinity. You'll work cross-functionally with brand creative, communications, policy, and product teams to ensure every event reinforces Anthropic's unique position as a company building safe, reliable AI. This is an ideal role for someone who thrives at the intersection of brand storytelling and experiential production—someone who can translate a brand's values into physical and digital moments that resonate with diverse audiences, from developers to enterprise executives to policymakers. Responsibilities - Develop and execute brand events, ensuring alignment with Anthropic's broader brand and marketing objectives, including increasing unaided awareness and establishing AI provider mindshare - Manage a team of full time and contracted employees - Lead end-to-end production of Anthropic-owned brand events, including concept development, creative direction, vendor management, on-site execution, and post-event analysis - Collaborate closely with the brand creative team to develop compelling event identities, spatial design concepts, and experiential elements that bring the Anthropic brand to life in three-dimensional spaces - Partner with communications and policy teams to produce thought leadership events, forums, and experiences that position Anthropic as a leader in responsible AI development - Manage Anthropic's brand presence at priority industry conferences and sponsorship activations, overseeing booth design, experiential elements, and attendee engagement strategies - Build scalable event playbooks, templates, and processes that maintain brand consistency and creative quality as the program grows - Develop and manage relationships with external production agencies, venue partners, and experiential design firms - Track and report on event performance metrics, connecting brand events to awareness, sentiment, and affinity goals - Manage event budgets and timelines, balancing creative ambition with operational rigor - Stay current with experiential marketing trends, emerging event technologies, and innovative formats that could elevate Anthropic's event presence - Support the development of "Event in a Box" toolkits and brand guidelines for partners and internal teams hosting Anthropic-adjacent experiences You may be a good fit if you - Have 18+ years of experience in event marketing, experiential marketing, or brand activations, ideally at a high-growth technology company or creative agency - Have a strong portfolio of brand events that demonstrate your ability to translate a company's values and positioning into memorable, on-brand experiences - Have extensive experience managing the full event lifecycle—from strategic planning and creative concepting through production, on-site execution, and post-event measurement - Are skilled at working with creative teams and external agencies to develop spatial design concepts, visual identities, and experiential elements for events - Have a demonstrated ability to manage multiple concurrent events with competing timelines and stakeholder needs - Are an excellent communicator who can articulate creative vision to both internal leadership and external production partners - Can balance creative ambition with budget discipline and operational precision - Have experience building event programs from the ground up, including developing playbooks, processes, and measurement frameworks - Have experience with people management and can run a team - Are comfortable with significant travel (estimated 30-40%) to support on-site event execution - Are passionate about AI and excited by the challenge of creating events that make complex technology accessible and engaging Strong candidates may also have - Experience producing events in the technology, AI, or enterprise software space - Background in spatial design, experiential production, or brand architecture - Experience working with policy, government, or academic audiences on thought leadership events - Familiarity with event technology platforms and digital/hybrid event production - Track record of producing events that have driven measurable brand awareness or sentiment outcomes - Experience developing and managing partner event programs or co-branded activations - Comfort operating in fast-paced, rapidly evolving environments where priorities can shift quickly Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $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. 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.
Manager, Web Engineering
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring an Engineering Manager to lead the team that builds and runs anthropic.com and claude.com, brand web surfaces where most of the world meets Claude and Anthropic for the first time. They carry our research, product launches, policy work, and brand, and they ship at the pace of a fast-moving company. You'll manage a small, senior team of web engineers, owning the full stack behind our marketing web: CMS architecture, the publishing pipeline, the design system in code, and the campaign and launch experiences tied to model and product releases. This role sits inside Brand Creative and partners closely with design, editorial, marketing, and product growth engineering. We want a player-coach: comfortable setting technical direction without an existing playbook, staying close to the code and the launches, and building the tooling that lets designers and editors publish without an engineer in the loop. Responsibilities - Manage and grow the team: coach, hire, and set the bar for craft and reliability - Own the technical roadmap for anthropic.com and claude.com: CMS architecture, publishing workflow, performance, SEO health, localization, the production design system, deploy pipeline, on-call, and incident response - Run launch engineering for model, product, and campaign moments, shipping high-quality pages on tight, shifting timelines without heroics - Build the brand tooling layer: internal tools, integrations, and Claude-in-the-loop workflows that let designers, writers, and marketers publish safely without engineering as a bottleneck - Partner with design and editorial on creative technology, data visualizations, interactive explainers, campaign experiences, that need real engineering, not a template - Align web engineering work with Marketing, Product, Comms, and core Engineering, and say no to what doesn't move brand and business goals You may be a good fit if you have - 10+ years in software engineering, 5+ managing engineers, with that time spent as an engineering manager inside a marketing, brand, or design engineering organization specifically, not just a product engineering one - Owned a high-traffic marketing or brand web surface end to end: CMS, frontend, infrastructure, and the publishing workflow around it - Strong frontend depth yourself, TypeScript, React, modern CSS, a modern headless CMS, and a real preference for staying close to the code - Built tooling that made non-engineers faster and safer, with a concrete story of what changed - Shipped under real launch pressure with cross-functional partners, without dropping the quality bar - Comfortable operating at the seam between Design, Marketing, and Engineering - Deep interest in AI and excitement about putting Claude into the build and publish loop itself, not just on the page Strong candidates may also have - Held a Head of Web Engineering or equivalent platform lead title at a product company - Built localization and multi region web infrastructure - Come from a company where brand and product web sat close together: design tools, productivity, or developer tools - Led design systems or component library work that shipped to production 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. 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.
Manager, Startup Partnerships
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 Manager, Startup Partnerships at Anthropic, you'll lead a high-performing and technical team of startup partners focused on driving adoption of Anthropic's AI solutions across the startup landscape while ensuring responsible AI deployment. As a leadership role on the startups GTM team, you will lead a multi-functional team working across accelerators, incubators, and ecosystem partners across mature and emerging markets. The team’s goal is to obsess over winning day-zero founders globally and expand our customer base to ensure every new AI startup chooses to build on Claude. You will be instrumental in establishing Anthropic's presence in the global startup ecosystem, driving pipeline and new logos to startup sales across multiple regions. This role requires someone who thrives in ambiguity, can build from the ground up in new markets, and is driven to deliver exceptional results. What you'll do: Team Leadership - Experience managing P&L and hitting aggressive growth targets in fast-paced environments - Build and lead a high-performing, geographically distributed team of startup partners capable of influencing at senior decision-makers and GPs within accelerator, and partner organizations - Work with cross functional teams across sales, marketing, product & data science - Recruit, develop, and retain exceptional talent across multiple regions and cultures. Create a unified, results-oriented culture across geographies that attracts top talent and delivers outstanding outcomes to customers and the business. Ecosystem Development - Lead multi-threaded partner coverage across Accelerators, and Ecosystem Partners - Work with partners to establish Claude as the AI platform of choice across global startup markets - Create a framework and plan for scaled initiatives to help ensure early stage founders are choosing to build on Claude. - Support the initiation and development of strategic relationships with global and regional partners - Adapt partnership models and GTM approaches to local market dynamics, regulatory environments, and cultural nuances - Navigate complex environments including regulatory, compliance, and data sovereignty considerations You may be a good fit if you have: - 12+ years experience building and scaling partner ecosystems across multiple international geographies with demonstrable evidence of driving substantial revenue and P&L management - 5+ years management experience leading and scaling high-performing partnership teams - Deep experience operating across multiple geographies with understanding of local business practices, cultural nuances, and market dynamics - Strong background in enterprise technology sales internationally, ideally within cloud, AI/ML, or platform businesses - Executive presence with the ability to influence and build relationships at C-suite level across diverse cultures - Collaborative approach with ability to work cross-functionally across sales, product, marketing, and regional teams - Experience specifically within AI/ML or frontier technology companies - Established relationships with major global VCs, accelerators, and startup ecosystems (YC, a16z, Sequoia, etc.) 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 - $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. 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.
Manager of Applied AI Architecture, Startups
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 Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts. This is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with the New Business sales leader and work as one team to support your customers. Responsibilities: - Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution - Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development - Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team - Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives - Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem - Ensure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering - Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities - Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content - Stay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier You may be a good fit if you: - Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams - Have a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work - Have deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey - Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title - Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system - Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks - Are energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly - Have a genuine passion for making powerful technology safe and societally beneficial Strong candidates may have: - Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating - A track record of winning competitive technical evaluations against other LLM providers - Experience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment - Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly - A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions 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: $315,000 - $380,000 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.
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