Вакансии

Location: San Francisco, CA | New York City, NY; Washington, DC 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 has done pioneering work examining the economic impacts of AI. The AI & Rule of Law team takes an analogous approach to a different question: how will AI affect our constitutional democratic institutions? Increasingly powerful AI systems will put pressure on societal functions at every level — the courts, legislatures, electoral systems, oversight bodies, and the legal frameworks that hold democratic governance together. Our team exists to ask hard questions about those vulnerabilities, and to seek out strategies for protecting democratic freedoms — in the short and long term, through both technical and policy levers. This is early, high-stakes research. The team is small, the problems are genuinely unsolved, and the work will matter. We are looking for someone with deep expertise in both AI and at least one of: government, political science, or public policy. The ideal candidate understands the technical landscape well enough to reason about AI capabilities and risks, and understands democratic institutions well enough to see where those risks become structural threats. Key responsibilities Projects on this team are illustrative rather than fixed — we expect the research agenda to evolve as both AI capabilities and institutional pressures change. Current and expected focus areas include: Making fundamental contributions to the development and expansion of our public data and research on how people use AI for politics, including regular reports and deep dives on elections and policy topics, and grow into leading this work over time Designing and conduct empirical research on AI’s political effects, drawing on external data sources and the privacy-preserving measurement systems internally Designing, running, and analyzing experiments on systems of many AI agents, testing whether and when tools from political economy (rules, monitoring, voting, dispute resolution) help agents govern themselves and stay under human oversight Developing new methodological approaches for studying AI’s impact on: Developing measurement and causal-inference tooling to help Anthropic evaluate the downstream political consequences of its own training, product, and policy decisions Building and maintaining relationships with academic institutions, policy think tanks, and other research partners, and serve as the point of contact for outside researchers who use our data Working cross-functionally with other technical teams to improve our measurement infrastructure and data collection Translating research insights into actionable recommendations for model training, product decisions, and policy discussions Amplifying external engagement through research publications, policy briefs, convenings, and presentations to diverse stakeholders Minimum qualifications A primary degree in political science, or a closely related field at the Ph.D. level A computational research background in Political Science, Economics, or a related field Demonstrated ability to produce rigorous, public-facing work — scholarship, policy analysis, government output, or a published body of writing Preferred qualifications Experience relevant to the study of AI’s impact on politics Track record of empirical research, particularly studies combining novel data sources and game theory or those implementing frontier methods in causal inference Comfort operating with significant autonomy in an environment where the problems are new and the playbook is still being written At least five years of relevant experience in academia, industry, or government Some Examples of Our Recent Work Preparing for the 2026 US midterms Measuring political bias in Claude Clio: Privacy-preserving insights into AI use Introducing The Anthropic Institute 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 member of the Applied AI, Democratic Partnerships team at Anthropic you will provide technical support to the governments of key international allies and civil-sector partners to support democratic resilience. Near-term work focuses on a few priority countries and partners, and will continue to expand with capacity. This role serves Anthropic's mission and public benefit goals. In collaboration with the Policy, National Security, Product, Research, and Engineering teams, you'll help partners build, integrate, and ship Claude deployments. You will use your excellent communication skills to explain complex topics, including the potential benefits and harms of frontier AI, to technical and non-technical audiences alike. You will also play a critical role in identifying how our AI systems can best serve public interests in frontline democracies, while maintaining our best-in-class safety standards. Responsibilities: Work directly with partner technical teams to build and ship Claude deployments. Guide their setup, architecture, and integration as they build with Claude Code and the Claude API. Build pilots and repeatable workflows that can scale across partner agencies, and support developer and university enablement. Document how to deploy Claude in low-connectivity, multilingual, and security-conscious environments, for reuse across partners. Act as the voice of our partners in frontline democracies and a key collaborator with our Product and Research teams to ensure we deliver the capabilities they need. Travel internationally to partner institutions for technical enablement and building relationships. Establish a shared vision for creating solutions that enable beneficial and safe AI. Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities. Support partner deployments in areas such as education, cyber resiliency and global health. You may be a good fit if you have: 4+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Cybersecurity Engineer, working with governments, civil-sector organizations, or the public sector Experience shipping software in imperfect conditions, and a practical approach to infrastructure constraints Designed novel and innovative solutions for technical platforms in a developing mission area Comfort working directly with partner technical teams, and motivation to work on deployments where the stakes are civic rather than commercial Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred) Understanding of and experience with LLM fundamentals The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the problem at hand, finding simple, easy-to-understand solutions Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, from engineers to senior government officials Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 member of the International Policy Applied AI team at Anthropic, you will be a trusted technical advisor to governments, AI Safety Institutes (AISIs), and multilateral institutions. You'll use your technical skills and your experience with government partners to help them understand frontier AI, test it, and apply it to their public missions with a high degree of reliability and safety. This role serves Anthropic's policy, mission, and public benefit goals. In collaboration with the Policy, Product, Research, and Engineering teams, you'll help partners develop strategies and plans to evaluate and adopt leading-edge AI systems. You will use your excellent communication skills to explain complex topics, including the potential benefits and harms of frontier AI, to technical and non-technical audiences alike. You will also play a critical role in identifying how our AI systems can best serve public interests around the world, while maintaining our best-in-class safety standards. Responsibilities: Act as a primary technical advisor for senior officials in partner governments, AISIs, and international institutions. Brief them on frontier AI capabilities, give an honest account of both benefits and harms, and explain safety research in terms that inform their decisions. Partner closely with the Policy team to understand each partner's goals and requirements. Develop demos, pilots, prototypes, and evaluation suites that show how Claude can support their public missions, such as cyber defense. Lead technical onboarding, enablement, and hands-on workshops for partner institutions, including national cybersecurity agencies. Guide their setup, architecture, and integration as they build with Claude Code and the Claude API. Act as the voice of our international partners and a key collaborator with our Product and Research teams to ensure we deliver the capabilities they need. Travel internationally to partner institutions for senior leader meetings, technical enablement, and building relationships. Establish a shared vision for creating solutions that enable beneficial and safe AI. Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities. You may be a good fit if you have: 4+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Cybersecurity Engineer, working with governments, international organizations, or the public sector Experience in technology policy, AI safety, cybersecurity, or international affairs Designed novel and innovative solutions for technical platforms in a developing mission area Familiarity with how AI models are evaluated and tested for safety Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred) Understanding of and experience with LLM fundamentals The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the problem at hand, finding simple, easy-to-understand solutions Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, from engineers to senior government officials Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris, France About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. À propos du poste Ce poste de direction est essentiel : il consiste à construire et à faire passer à l’échelle les partenariats d’Anthropic avec les cabinets de conseil, les intégrateurs de systèmes mondiaux (GSI) et les boutiques partenaires nativement IA en France. Vous travaillerez en étroite collaboration avec l’équipe commerciale pour que les clients adoptent l’IA grâce à nos partenaires. Ce poste est un poste de construction, et non de gestion. Compte tenu du stade de développement d’Anthropic, nous recherchons un profil qui a déjà fait ses preuves en faisant passer des partenariats de zéro à des moteurs de revenus à grande échelle, un profil qui a bâti ces relations de A à Z, et non simplement hérité de relations existantes pour les gérer. Responsabilités Partenariats et exécution Vous collaborerez étroitement avec l’équipe commerciale pour comprendre comment les partenaires peuvent soutenir l’adoption de Claude par les clients. Vous accompagnerez les partenaires dans la création de solutions clients reproductibles, répondant à des cas d’usage précis dans de nombreux secteurs : services financiers, santé, distribution, industrie, secteur public et services professionnels. Performance et pilotage des indicateurs clés (KPI) Vous portez la responsabilité des indicateurs clés de performance et vous les pilotez : revenus influencés par les partenaires, livraison réalisée par les partenaires, nombre de personnes consultantes formées et certifiées. Chaque deal influencé par votre portefeuille de partenaires doit être conçu pour la réussite du client et la croissance de sa valeur à long terme. Vous définirez des critères de réussite pour les comptes communs, veillerez à la qualité de la mise en œuvre et de l’accompagnement à l’adoption, et mettrez en place des boucles de retour d’expérience favorisant l’amélioration continue. Vous rendrez compte de la santé des partenariats, de leur avancement et de leurs résultats commerciaux, en vous appuyant sur des analyses fondées sur les données. Développement du marché et construction de la marque Vous renforcerez la notoriété de la marque Anthropic en France grâce à des relations stratégiques avec les partenaires. Vous élaborerez et déploierez des stratégies de mise sur le marché (GTM) propres à chaque marché, adaptées aux pratiques commerciales et aux nuances culturelles locales. Vous composerez avec les enjeux locaux de réglementation, de conformité et de souveraineté des données. Vous créerez un avantage concurrentiel grâce aux capacités singulières des partenaires et à des propositions de valeur élaborées en commun. Votre profil Ce poste pourrait vous convenir si vous réunissez les atouts suivants : Vous avez l’esprit d’initiative et le goût de construire : vous êtes à l’aise pour partir de zéro et créer des partenariats d’envergure. Vous maîtrisez l’anglais et le français. Vous comptez au moins 8 ans d’expérience dans les partenariats technologiques à destination des entreprises, idéalement dans le cloud, l’IA/ML ou les activités de plateforme. Vous avez une culture de la donnée, tournée vers les résultats mesurables et l’atteinte des KPI, et un historique avéré de revenus additionnels générés grâce aux partenariats dans la région. Vous avez démontré votre capacité à assurer la réussite des clients et la protection de la marque via les canaux partenaires. Vous avez l’esprit de compétition : la victoire et la différenciation sont votre moteur. Vous avez une approche collaborative et savez travailler de façon transversale avec les équipes commerciales, produit, marketing et régionales. Vous nourrissez une vraie passion pour l’IA et vous vous reconnaissez dans la mission d’Anthropic : développer une IA bénéfique. Relations de travail Votre rattachement hiérarchique se fera auprès de la direction des partenariats internationaux, tandis que votre activité quotidienne sera pilotée par la personne responsable des partenariats EMEA Sud. Vous travaillerez également en étroite collaboration avec la direction commerciale régionale d’Anthropic et ses Account Executives, ainsi qu’avec les équipes Customer Success et Applied AI de la région. Lieu et déplacements Ce poste est basé à Paris, en France, avec des déplacements à prévoir pour rencontrer les partenaires et les clients. About the Role This is a critical leadership role responsible for building and scaling Anthropic's consulting, GSIs and AI-native boutique partners in France. You will be working closely with the sales team to make sure customers are adopting AI through our partners. This is a builder role, not a manager role. Given Anthropic's stage, we need someone who has proven they can take partnerships from zero to scaled revenue engines — someone who has built these relationships from the ground up, not just inherited and managed existing ones. Responsibilities: Partnerships and execution: You will engage closely with the sales team to understand how partners can support customer Claude adoption You will guide partners in creating repeatable customer solutions that address specific use cases across industries including financial services, healthcare, retail, manufacturing, public sector, and professional services. Performance and KPI ownership: Own and drive key performance indicators, partner-influenced revenue, partner delivery, consultants trained and certified Every deal influenced through your partner portfolio must be architected for customer success and long-term value expansion. You will establish success criteria for joint accounts, ensure proper implementation and adoption support, and create feedback loops that drive continuous improvement. Report on partnership health, progress, and commercial outcomes with data-driven insights Market Development & Brand Building Amplify the Anthropic brand in France strategic partner relationships Develop and execute market-specific GTM strategies adapted to local business practices and cultural nuances Navigate local regulatory, compliance, and data sovereignty considerations Create competitive differentiation through unique partner capabilities and joint value propositions You may be a good fit if you have: Builder mentality — comfortable starting from zero and creating scaled partnerships Fluent in English and French 8+ years of experience in enterprise technology partnerships, ideally within cloud, AI/ML, or platform businesses Data-driven mindset with focus on measurable outcomes and KPI attainment. Track record of driving incremental revenues through partnerships in the region History of delivering exceptional customer success and brand protection through partner channels Competitive drive — obsessed with winning and creating differentiation Collaborative approach with ability to work cross-functionally across sales, product, marketing, and regional teams Passion for AI and alignment with Anthropic's mission of beneficial AI development Working Relationships You will formally report to the International Partnerships leader, while your day-to-day work will be led by our South EMEA Partnerships lead. You will also partner closely with Anthropic's regional sales leader and their Account Executives, as well as the in-region Customer Success and Applied AI teams. Location and Travel This role will be based in Paris, France with travel expected to engage with partners and customers externally. 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: €220.000 — €260.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB As a Applied AI, Frontier Data Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who builds end to end and has shipped ML or GenAI systems to production. You've felt the pain of models that pass every eval and fail on real data, and of quality that drifts after launch. You've also felt the data engineering pain: pipelines that break silently, schemas that change under you, and backfills that take a weekend. Data engineering is your edge. You turn messy, large-scale data into systems that hold up. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. Your depth in data architecture helps set the standard for how the team designs and delivers systems. You know lakehouse and data mesh patterns well enough to know when they fit and when they're overkill. You've designed ontologies and data models, and you know that getting them right is as much art as science. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the data architecture underneath them: ingestion, processing, storage, and the data models and ontologies that make messy data usable. - Build distributed pipelines that process large volumes of documents, code, logs, and multimodal content for retrieval, agentic workflows, and fine-tuning. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build data governance into the systems themselves: ownership, access control, lineage, retention, and privacy for sensitive enterprise data. - Build the evaluation loop: labeling with LLMs and humans, versioned eval datasets, and checks that catch quality drift before customers do. - Set the standard for how the team designs and ships data systems. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have 5+ years of experience building and running production data-intensive pipelines with distributed processing (for example Spark, Ray, Beam, or Dask) and orchestration tools (for example Airflow, Dagster, or Prefect) with structured and unstructured data. - You have experience with retrieval-augmented generation, agentic use cases, or LLM evaluation, and a clear view of how data quality drives model quality. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments, are obsessed with time to value and are comfortable making and articulating product-technical tradeoffs. IDEALLY YOU HAVE - A passion for graph-based systems (e.g. Neo4j) and ontology design - Hands-on experience building data pipelines for LLM training, fine-tuning, or evaluation, and contributions to open-source projects, particularly in data or LLMs. - Hands-on experience with data governance and privacy requirements (for example GDPR), secure data handling, CI/CD and infrastructure as code, or an affinity for security engineering. HOW WE WORK IN APPLIED AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a strategic Go-To-Market Recruiter specializing in Applied AI to join our GTM recruiting organization. In this role, you'll focus specifically on building and scaling our Applied AI team - the Pre-Sales architects and technical advisors who help large enterprises successfully integrate and deploy Claude. Working within our broader GTM recruiting team, you'll drive full-cycle recruiting for these critical customer-facing technical roles that bridge our cutting-edge AI technology with real-world business applications. This specialized role requires deep technical recruiting expertise combined with a strong understanding of enterprise SaaS and AI landscapes. You'll collaborate closely with GTM recruiting colleagues while developing targeted strategies for the unique talent needs of our Applied AI organization. You'll help shape how enterprises work with AI systems by building teams that directly influence the safe and beneficial deployment of Claude across industries. Key responsibilities Lead end-to-end recruiting for Applied AI team roles, including Solutions Architects, Pre-Sales Engineers, front-line managers and other customer-facing technical positions Partner with Applied AI leadership and GTM recruiting colleagues to develop comprehensive hiring strategies that align with overall GTM objectives Execute sophisticated sourcing strategies to identify candidates with rare combinations of technical depth, customer empathy, and business acumen Create exceptional candidate experiences that showcase Anthropic's mission and the unique opportunity to shape enterprise AI adoption Build pipelines of talent with expertise in LLMs, cloud architecture, enterprise software integration, and technical consulting Collaborate with GTM recruiting team members to share best practices, market insights, and cross-functional candidate leads Leverage Claude and other AI tools to enhance recruiting efficiency while maintaining high-touch, personalized engagement Provide data-driven insights on compensation trends and talent availability specific to the Applied AI market Minimum qualifications Excel at recruiting for customer-facing technical roles that require both deep technical knowledge and exceptional communication skills Understand the technical requirements of roles working with LLMs, APIs, cloud architectures, and enterprise system integration Thrive in collaborative environments, working seamlessly with GTM recruiting colleagues while managing specialized searches Can effectively assess candidates' abilities to translate complex technical concepts for diverse stakeholders Have a track record of building trusted advisor relationships with technical hiring managers Are passionate about using AI to transform recruiting practices while maintaining a human-centered approach Preferred qualifications Have 5+ years of technical or technical sales recruiting experience, ideally within GTM organizations at enterprise software or AI/ML companies Direct experience recruiting for pre-sales/solutions engineering roles in the AI/ML space Demonstrated success working within GTM recruiting organizations during periods of hypergrowth Expertise in developing specialized recruiting practices within broader team structures Familiarity with the challenges of deploying AI systems in enterprise environments Experience collaborating across recruiting teams to share resources and best practices A technical background or successful track record recruiting for highly specialized technical positions 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 — $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a results-driven Go-To-Market (GTM) Recruiter to help establish and scale our teams across GTM functions in the APAC region. Based in Singapore, you'll be instrumental in our expansion, serving as one of the founding Recruiting hires in the region while building exceptional teams from the ground up. This role requires someone who can bridge cultural gaps, maintain Anthropic's high standards, and work collaboratively with our Business teams and leaders to establish our local presence. The ideal candidate thrives in ambiguous, fast-paced environments and excels at building relationships across diverse cultural and business contexts. Key Responsibilities: Drive full-cycle recruiting for multiple GTM teams while establishing recruiting infrastructure and processes in APAC Develop culturally-informed sourcing strategies to attract top talent for Singapore, with potential expansion to broader APAC markets Partner with regional leaders and HQ to provide consultative guidance on talent acquisition strategy while adapting global practices for local markets Leverage AI tools, including Claude, to innovate recruiting processes and drive efficiency across time zones Provide market intelligence on compensation trends, talent availability, and cultural considerations while coaching hiring managers on regional best practices Serve as a cultural ambassador, ensuring candidates understand Anthropic's mission while advocating for regional talent needs with global leadership Build foundational recruiting processes, systems, and partnerships with local agencies, universities, and professional networks You may be a good fit if you: Have 8+ years of full-cycle recruiting experience in high-growth GTM functions in APAC markets Excel at building processes from scratch while managing multiple concurrent searches in ambiguous environments Are passionate about leveraging technology and AI to transform recruiting processes Have exceptional communication skills with ability to work effectively across cultural contexts Demonstrate cultural sensitivity and ability to navigate complex stakeholder relationships across regions and time zones Have experience with data-driven recruiting and metrics-based performance tracking in international contexts Understand nuances of hiring practices, employment law, and professional norms in Singapore Have experience working with distributed teams across significant time zone differences Strong candidates may also: Have experience recruiting for AI or deep technology companies in APAC markets Demonstrate success in establishing recruiting functions during international expansion Show expertise in building company culture and employer brand in new markets Have established networks within Singapore’s technology ecosystem Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a results-driven Go-To-Market (GTM) Recruiter to help establish and scale our teams across GTM functions in the APAC region. Based in Seoul, you'll be instrumental in our expansion, serving as the founding Recruiting hire in the market while building exceptional teams from the ground up. This role requires someone who can bridge cultural gaps, maintain Anthropic's high standards, and work collaboratively with our Business teams and leaders to establish our local presence. The ideal candidate thrives in ambiguous, fast-paced environments and excels at building relationships across diverse cultural and business contexts. Key Responsibilities: Drive full-cycle recruiting for multiple GTM teams while establishing recruiting infrastructure and processes Develop culturally-informed sourcing strategies to attract top talent for Korea, with potential expansion to broader APAC markets Partner with regional leaders and HQ to provide consultative guidance on talent acquisition strategy while adapting global practices for local markets Leverage AI tools, including Claude, to innovate recruiting processes and drive efficiency across time zones Provide market intelligence on compensation trends, talent availability, and cultural considerations while coaching hiring managers on regional best practices Serve as a cultural ambassador, ensuring candidates understand Anthropic's mission while advocating for regional talent needs with global leadership Build foundational recruiting processes, systems, and partnerships with local agencies, universities, and professional networks Minimum Qualifications: Are fluent in English and Korean (native or business-level proficiency), showing exceptional communication skills with ability to work effectively across cultural contexts Have 8+ years of full-cycle recruiting experience in high-growth GTM functions in APAC markets Excel at building processes from scratch while managing multiple concurrent searches in ambiguous environments Are passionate about leveraging technology and AI to transform recruiting processes Demonstrate cultural sensitivity and ability to navigate complex stakeholder relationships across regions and time zones Have experience with data-driven recruiting and metrics-based performance tracking in international contexts Understand nuances of hiring practices, employment law, and professional norms in Korea Have experience working with distributed teams across significant time zone differences Preferred Qualifications: Have native or business-level proficiency in Japanese Have experience recruiting for AI or deep technology companies in Asian markets Demonstrate success in establishing recruiting functions during international expansion Show expertise in building company culture and employer brand in new markets Have established networks within Korea and Japan's technology ecosystem Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security team protects Anthropic's AI systems and maintains the trust of our users and society. About the Role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML. Responsibilities Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest This role may require participation in an on-call rotation. You may be a good fit if you Have experience with machine learning. Have experience in cybersecurity research. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity or other experimental & research background. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We’re hiring a strategic advisor to join the Strategic Advisory team within Policy Advocacy, part of Anthropic’s Public Policy team. This is an individual contributor role at the strategic heart of Anthropic’s policy function — designed for an operator with 8–10+ years of experience who wants to drive clarity on Anthropic’s most consequential policy positions, partner with cross-functional peers, and be deployed as a strategic resource across fast-moving policy work. Policy Advocacy turns Anthropic’s policy priorities into evidence-backed positions, research, campaigns, and partnerships — distinct from government relations and communications, but essential to enabling both. This role is designed to complement our existing Strategic Advisory capacity, which owns the documentation, translation, and deployment of Anthropic’s positions so that external-facing teams can use them. You’ll bring experience and judgment into the room, hold responsibility for a portfolio of strategically important positions, and partner as a peer with leaders across the policy, legal, comms, and product policy functions, working with colleagues on teams across the company on positions and messaging. The ideal candidate is effective across multiple stakeholders even through substantive disagreement, prioritizes closure over deliberation, and organized and process-focused but able to operate in ambiguity. Successful candidates will have experience building structure where none exists, including under unclear ownership and shifting priorities. We prize doers willing to do the work directly, no matter how small or large. Strategic and systems thinkers that understand how individual positions and engagements fit together across the broader policy landscape are encouraged to apply. Examples of work in this role might include producing a position package end-to-end: pressure-testing the position with internal SMEs (policy, legal, research), identifying and closing gaps, and producing the full set of deployable materials. Translating new technical research or policy analysis into policy-ready materials on short timelines for use by federal, state, and international affairs teams. Building and running a structured process to resolve a contested position and documenting the outcome. Leading the cross-functional policy strategy for a major launch, including alignment across policy, legal, comms, and research on external narrative, broader policy implications, and rapid-response plans. Standing up a cross-functional working group on an emerging platform or corporate issue, including scoping the problem, driving alignment across teams, producing a written strategy, and standing up the workstream. Distilling Anthropic’s approach to a complex or evolving issue into a deployable narrative, and integrating the output into the canon. This role offers a rare opportunity to shape Anthropic’s policy voice across the most consequential debates in AI governance, while operating with the pace, pragmatism, and service orientation of a top-tier public affairs function. Key responsibilities Own a portfolio of Anthropic’s highest-priority policy positions, including position papers, FAQs, talking points, and fact sheets — managing versions, intended audiences, strategic relevance, and internal access. Drive organizational consensus on contested technical policy positions — working with subject matter experts across federal affairs, state affairs, international affairs, national security, legal, comms, and research — moderating dissent, calling the question, and closing the loop on documented positions. Develop and test message framings with internal and external audiences, iterating quickly and bringing rigor to what lands and why. Translate technical research, model capability, and scientific content into policy-ready language for federal, state, and international policymakers, their staff, and legislators. Serve federal, state, and international affairs teams as an internal senior advisor — improving their processes, standing up shared material libraries, and building the collateral and strategies they need to be effective in their markets. Drive complex, cross-functional policy projects to resolution when no single team is set up to own them end to end — including model launch policy strategy, narrative coordination on contested issues, and working groups on emerging topics. Stand up rapid-response playbooks when time-sensitive events require Anthropic to move in days rather than weeks, coordinating across legal, research, and external affairs. Partner with policy communications to ensure message and voice consistency across Anthropic’s policy surface area. Anticipate emerging issues, proactively work with internal experts to develop Anthropic’s perspective, and make sure we have the materials we need before external pressure emerges. Minimum qualifications Have direct experience with message development and testing for policy, advocacy, or communications audiences. Have experience translating technical material (scientific, engineering, or deeply technical policy) for non-expert decision-makers. Are comfortable operating at breadth across multiple policy issue areas simultaneously, and can develop fluency in new ones quickly. Interest in and some experience with technology policy is important; deep AI policy expertise is a plus, not a prerequisite. Have experience building or running rapid-response processes, crisis playbooks, or signature programs in fast-moving environments. Can serve internal clients — federal, state, and international affairs colleagues — without needing to own external relationships yourself. You find that service posture energizing, not limiting. Preferred qualifications Have 8–10+ years of professional experience in corporate public affairs, management consulting, government relations, policy or political campaigns, think tanks, or similar fast-paced, cross-functional environments. Experience in technology, financial services, energy, pharma, or other heavily regulated industries. Demonstrated ability to anticipate emerging issues and develop organizational perspectives proactively. Experience designing and running a signature program or flagship campaign end-to-end. Experience translating topics to policy-relevant audiences through communications, visual storytelling, marketing, or advocacy. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for an experienced accountant to own Equity Accounting and Reporting at Anthropic, based in San Francisco. You will be the one owner of equity accounting numbers across US GAAP, IFRS and local GAAP in every jurisdiction where we have employees holding equity: expense booking by entity, intercompany recharge booking, current and deferred tax on equity, and the equity footnote and local statutory disclosures, prepared once and reused. You will own equity reporting data from Shareworks, our equity administration platform, through to the ledgers, while staying hands-on: preparing and reviewing close materials, owning your own accounts, and serving as the first escalation point for the judgment calls in your domain. Share-based compensation (SBC) is one of the most cross-functional areas of our reporting. Grants, vesting, exercises and the events that follow each carry requirements for US GAAP, IFRS and local GAAP expense, pushdown and recharge postings, tax provisioning, payroll withholding, transfer pricing and statutory disclosure, and those needs are met across Equity Administration, Equity Reporting, Accounting, Treasury, Tax, Transfer Pricing and Global Payroll from a single set of award-level records. This is a build role: you will take the open workstreams from manual to automated, work with Finance Systems and Shareworks to build the reports each stage needs, finalize the policies and agreements that sit behind recharges, and bring the end-to-end process to a scalable, efficient and fully compliant close. We are looking for someone who has owned equity accounting in a growing global organization before and wants to do it again at one of the most important companies in the world. Key responsibilities Close ownership Own the equity portfolio through month-end and quarter-end close: US GAAP, IFRS and local GAAP equity expense, pushed down and booked by entity, including reconciliations, journal entries and variance commentary Own intercompany recharge booking: invoicing, settlement, Treasury communication and the foreign exchange (FX) that follows Own current and deferred tax on equity by entity and in local currency, including the IFRS deferred tax mark to the share price and windfalls or shortfalls through the tax provision Ensure every close deliverable is audit-ready, with clear documentation of positions and supporting evidence Technical accounting and policy Write, own and maintain the accounting policies and standard operating procedures (SOPs) for equity across US GAAP, IFRS and local GAAP: grant-date fair value and expense schedules, recharge basis by entity, mobility apportionment, and the treatment of cancellations, modifications and one-off events Partner closely with Tax to close every open policy position and execute the recharge agreements that depend on them Research the tax and accounting rules for each new jurisdiction entered and categorize it under our framework before the first grant lands there Own the equity footnote and local statutory disclosures for all entities, including the award rollforward for each period with internal transfers, and the external audit responses that support them Controls Design and operate Sarbanes-Oxley (SOX) controls across equity expense, recharges and deferred tax; review control evidence and own timely remediation of any gaps Establish completeness and cut-off controls so that the same award, the same entity, the same event dates and the same FX rate flow from Shareworks to every ledger, report and return Systems and automation Anticipate changes in reporting needs and work with Finance Systems and Shareworks to build them: IFRS expense and deferred tax reports in local currency at Workday rates, mobility snapshots driving expense apportionment, corporate tax apportionment rules, and exercise and disclosure reports with mobility detail Automate the monthly pushdown and recharge postings and the reconciliation of deferred tax to expense reports, replacing manual work Document workflows and controls in a way that supports knowledge transfer, audit evidence and scale Cross-functional partnership Partner with Equity Administration, Equity Reporting, Accounting, Treasury, Tax, Transfer Pricing and Global Payroll so each stage of an award is handled from every statutory and reporting perspective and every stakeholder has the data they need Record in the local books (secondary ledgers) the local SBC expense and recharges that feed the cost base for transfer pricing Translate complex equity accounting into plain language for non-finance stakeholders Equity events Lead the cross-functional, cross-jurisdictional review of one-off equity events such as tender offers and share repurchases, covering the accounting, the deduction, payroll withholding, Treasury and the resulting disclosures Coordinate with Tax and advisers on open conclusions, such as the apportionment logic for corporation tax versus payroll tax, so report configurations are right before they are built, manual rework is minimized and the data serves every purpose it is built for Minimum qualifications Certified Public Accountant (CPA) or equivalent professional accounting qualification Deep, hands-on experience with stock-based compensation under Accounting Standards Codification Topic 718 (ASC 718), IFRS 2 and local GAAP, including equity roll-forwards and reconciliation to an equity administration platform Experience with the tax accounting for equity: current and deferred tax by entity, mobility apportionment, and windfalls and shortfalls through the provision Experience owning a portfolio of accounts through close in a public company or pre-initial public offering (IPO) environment, including designing and operating SOX controls Experience writing and maintaining accounting policies and SOPs, and being accountable for how they are applied Ability to structure ambiguous problems, reach defensible conclusions and document them clearly Clear written and verbal communication with non-accounting partners Preferred qualifications Progressive accounting experience that combines Big 4 audit with time at a high-growth or startup company A clear point of view on how artificial intelligence (AI) tools can eliminate low-value accounting work, and a track record of putting it into practice A project management qualification or experience running cross-functional workstreams The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required. Key responsibilities Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work Research how models can learn efficiently from experiments and real-world feedback Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned Scale research ideas from prototype to production training runs Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities Minimum qualifications Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX Hands-on experience training or evaluating machine learning models Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results Ability to implement your own research ideas and diagnose problems in complex systems Ability to learn unfamiliar technical fields quickly and work productively with experts in them Clear communication and a collaborative approach to solving problems Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology Commitment to developing AI that is safe and beneficial Preferred qualifications Experience with reinforcement learning and pre-training on large language models, including environment and reward design Familiarity with large-scale language model training, evaluation, and inference pipelines Published research or practical experience in AI for science or engineering, or in long-horizon reasoning A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data Experience with large-scale data pipelines and technical or multimodal datasets Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. We're seeking exceptional researchers with deep expertise in one or more of these areas. In this role, you'll work at the intersection of frontier AI and your field, developing rigorous methods to measure and improve Claude's performance on complex engineering and scientific tasks. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and to test Claude's designs against real-world feedback. Key responsibilities Design and implement evaluation methodologies for assessing AI model capabilities relevant to engineering and applied science research and applications Design realistic tasks and training environments, and curate data from your field Develop and validate simulations and computational tools for your field, and calibrate them against real-world data Work with industry partners, manufacturers, and labs to build and test what Claude invents, designs, and engineers, and bring that real-world feedback into evaluation and training Think through how Claude's engineering capabilities can permeate the real world: where they can have the most impact across industry and research, and what it takes to get them adopted Advise the team on which problems, tools, and workflows matter most in your field Collaborate with domain experts and partners to establish benchmarks and gather high-quality data for training Translate between engineering domain knowledge and machine learning objectives Minimum qualifications Deep expertise and hands-on R&D or industry experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, structural, industrial, or manufacturing engineering; applied physics; computational simulation Experience with AI or machine learning, whether evaluating and training AI systems or applying these tools in your field Track record of taking work from concept through to a working result, such as a product, process, device, experiment, or tool Hands-on proficiency with the computational design, analysis, or simulation tools used in your field Basic programming proficiency, for example in Python Ability to navigate ambiguity and develop solutions in a rapidly evolving research environment Ability to work independently while collaborating closely with cross-functional teams, and to explain your field clearly to people outside it Commitment to using AI to accelerate engineering and scientific progress while maintaining high ethical standards Preferred qualifications 5+ years of hands-on R&D or industry experience in an engineering or applied science discipline Ph.D. in an engineering or applied science field, or equivalent industry experience Industry experience in product design and manufacturing, or in developing engineering or scientific simulation software Breadth across more than one discipline, or across several stages of the path from design to production Familiarity with modern AI model training methods Track record of building high-fidelity solvers or simulation engines that were validated against real-world data and used in practice Experience working with manufacturers, vendors, contract research organizations, or academic labs Experience managing data pipelines and working with large-scale technical datasets Publications, patents, or contributions to open-source scientific or engineering software The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 sales organization is growing quickly across segments, industries, and geographies, and enablement needs to be reinvented to keep up. We are looking for a Head of Enablement Experience & Innovation to build the next generation of enablement with a Claude-first approach: hyper-personalized for each seller, delivered in the flow of work, and measured by what it changes. Most sales enablement still runs on courses, content libraries, and one-size-fits-all programs. You will start instead from what Claude makes possible: understanding what sellers need, designing experiences around their role, tenure, and live deals, and bringing the right guidance into the tools where they already work. This is a rare chance to define what enablement looks like when it is built on the product we sell. This is a leadership role for an innovator with deep expertise in using AI for enablement and a background in user experience design, product management, or workflow design. You have shipped experiences at scale and can show that people used them and performed better. You will start as an individual contributor, set direction, and build a team over time, staying close enough to the field to know when something is not working. Key responsibilities: Set the vision and roadmap for a Claude-first approach to enablement, deciding what to build, what to retire, and how enablement is designed and delivered Use Claude to tailor learning to each seller's role, tenure, and live deals Design workflows that bring guidance to sellers in the tools they already use, at the moment they need it Lead the learning platform, enablement tools, playbooks, and content hub, using Claude to keep knowledge accurate, current, and easy to find Run enablement like a product: lead discovery with sellers and sales leaders, work with engineering and design, and test on live deals before scaling Track adoption and the impact on ramp time, win rate, and attainment, and act on what the data shows Partner with Sales Leadership, Revenue Operations, Product, Marketing, and the wider Sales Enablement team so that programs, systems, and workflows feel like one experience Run fast experiments with new Claude capabilities, scale what works, and set clear standards for responsible AI use and data governance in enablement Minimum qualifications: Deep, hands-on expertise using AI to design and deliver enablement or learning at scale, such as personalized learning, AI coaching, or guidance in daily workflows Background in user experience design, product management, or workflow design, applied to enablement, learning, or sales tools Have led the design and launch of a product or learning experience at scale, and can show how adoption and results changed Have worked directly with senior sales leaders and frontline managers to secure sponsorship for change, including holding a position constructively when they disagreed Have tested and improved programs with sellers and sales leaders before scaling them Have defined and tracked adoption and impact measures that go beyond completion and satisfaction scores Have run programs across multiple geographies, segments, or roles Preferred qualifications: Experience building and leading a team of senior enablement professionals, and comfort delivering hands-on until you have one A clear, experience-based view of why learning programs often fail to change how sellers work Prior experience in a sales or customer-facing role Experience at an AI company or an enterprise technology company during a period of rapid sales team scaling Hands-on experience building with Claude or similar AI tools to personalize learning or improve how people find knowledge Clear written and spoken communication with executive audiences Experience selecting and running learning platforms and enablement 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: $310,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an Internal Communications Manager to serve as a dedicated communications partner to our Product organization. Internal communications at Anthropic is not a support function that plans meetings and sends newsletters. The best people in this role operate like advisors who embed themselves deeply in the orgs they support, earn a seat at the leadership table, write on behalf of executives, and see around corners,  anticipating what the organization will need to hear before anyone asks for it. There are traditional elements to the role too, like all-hands planning and org change announcements, and you'll run those with operational excellence. But the heart of the job is more creative and will require you to find ways to connect the rest of the company to some of the most consequential and least visible work at Anthropic, and making the line between that work and our mission clear and strong. Product is the bridge between what our models can do and what our customers’ needs today. Capabilities are improving constantly, and priorities shift as the models improve, and launches can come together very quickly as a result. For much of the company, it can be hard to keep up with what's shipping, what's changing, and why it matters. Your job is to help people make sense of that pace by understanding the work, and the people doing it, well enough to tell its story credibly, and to help its leaders communicate with clarity and candor as the company scales. Responsibilities Own the internal communications strategy for your portfolio, becoming an expert in the team's work and a trusted member of its leadership team Serve as a hands-on advisor to executives - help them think through what to say and when, draft communications in their voice, and give them honest counsel, especially in moments when that’s challenging or uncomfortable. Translate deeply technical work into narratives that land with employees across every function, without losing the substance Get creative about how you connect people to the work - don't default to creating a slide deck when a demo or something no one has tried yet would land better Anticipate communications needs before they arrive (e.g. launches, incidents, organizational change, moments of external attention) and have a plan ready for how we’ll bring employees along Design and implement strategies to boost signal and reduce noise, so employees know what's important and what it means for them Plan and execute internal fora like all-hands and AMAs with operational excellence Exercise sound judgment with sensitive material, especially where security work requires care about what is shared, with whom, and when Partner closely with the broader internal communications team to ensure updates are accurately and consistently cascaded across existing channels and live forums You may be a good fit if you Have 8–12 years of experience in communications or an adjacent craft where you learned to make complex, high-stakes material clear under pressure (e.g journalism, speechwriting, chief of staff work, strategy and operations) Are an exceptional writer with a particular talent for distilling technical decisions and cross-functional projects into simple, compelling narratives, and can write convincingly in someone else's voice Have served as a trusted advisor to senior leaders and know how to build those relationships: when to push, when to listen, and how to deliver a recommendation even when it’s something an exec may not want to hear Can embed credibly with engineers, PMs, and researchers. You are curious about how technical systems work, ask good questions, and earn the trust of people who may be skeptical of comms by default See the big picture and are able to connect individual team updates to company strategy and mission Have a keen eye for organizational culture and can recognize authentic moments worth amplifying Strong candidates may also Have experience communicating about product ,engineering, security, infrastructure, or other  technical domains Have worked at AI companies, frontier tech companies, or other organizations where the technical work moves faster than most people can follow Have built or run internal communications programs during periods of rapid organizational growth The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Figure’s Property Analytics team is seeking a Senior Applied Scientist to join us in our effort to reinvent real estate lending. You will be working alongside engineering, product, and business leaders to tackle complex research and machine learning problems related to automated valuation models (AVMs), asset valuation, and process optimization.

Location: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE We are looking for a Onboarding Enablement Manager, APAC to play a key role in enhancing our sales productivity in our APAC region. This role will design, deliver, and continuously improve sales onboarding for our new hires. You will work closely with sales leadership, enablement, and product marketing to ensure our field salesforce is equipped with the skills, tools, and knowledge needed to achieve revenue targets and drive customer success.   WHAT YOU'LL ACHIEVE - Lead APAC Sales & Success onboarding by facilitating Notion’s Sales Bootcamp for new hires across the region - Own the APAC Onboarding Calendar end-to-end, ensuring a consistent, well-sequenced new-hire experience - Establish a clear communication cadence with APAC frontline leaders, setting expectations and ensuring visibility into each new hire’s onboarding plan and progress - Partner with APAC Sales Leadership, Enablement and Revenue Operations to iterate on and deliver high-impact live sessions with clear objectives and strong SME alignment that is aligned to the global program and tailored for regional nuances (Korea, Japan, and APACx) - Operationalize the pre-work, certifications, and continued learning path so assignments land at the right time and reinforce on-the-job performance - Measure onboarding effectiveness through qualitative inputs (e.g., surveys), and translate insights into clear recommendations and iteration plans - Create engaging, multimodal learning experiences (AI-assisted content, short-form video, podcasts, and activity-based materials) that help sellers succeed in their segment and reach their full potential with Notion - Embed and reinforce Notion’s culture, product value, and customer-first mindset across all field enablement programs   SKILLS YOU'LL NEED TO BRING - 4+ years of SaaS sales experience - Including: - 2+ years full cycle selling - Demonstrate agency to lead enablement within team - Strong executive presence, with excellent written and verbal communication skills and stakeholder management abilities - Clear understanding of B2B sales cycles, strategies, and buyers—ideally product-led growth, sales-led growth journeys, and enterprise sales - Proficiency and ability to coach proven sales methodologies, including MEDDPICC, core sales competencies, and Command of the Message with practicality - Self-motivated problem solver who excels in ambiguous situations and takes complete ownership of projects - Creative thinker able to build engaging, outcome-focused content that drives behavioral change - Coaching mindset with high empathy for new hires and current sellers, driving effective change by challenging perspectives and focusing the team on value-based conversations - Proactive by nature, takes decisive action when identifying skill gaps or risks that could impact the success of enablement initiatives - Culture carrier, with a strong ability and desire to roll up their sleeves and make an impact in a high-growth environment - Fluency in Japanese and business-level in English   NICE TO HAVES: - Fluency in Korean #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Facility Operations Lead within the Data Center Infrastructure organization, you will define and manage end-to-end operations across Anthropic’s growing fleet of data center infrastructure. You will be accountable for the global operations management of critical mechanical, electrical, plumbing, and control systems. As a subject matter expert in data center infrastructure and operations, you will develop scalable processes for execution, help manage data center partners & vendors, lead deployment schedules, and maintain close coordination with related disciplines such as design, engineering, and capacity planning. If you are experienced in operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities: Define the Facility Operations strategy including SLAs, incident management, reporting methods, and approaches for reporting. Oversee third-party deployment, commissioning, and ongoing maintenance of facility infrastructure such as switch gear, technology cooling systems, and computer room air handlers. Define expectations and standards to enable third-party success in each of the critical operations domains. Create standards for monitoring data center systems operation, minimizing risk, and effectively responding to/managing excursions and incidents. Develop innovative approaches to improve time to market and equipment availability while minimizing cost and complexity. Enable scale-out of operations through industry best practices optimization of bill of materials, logistics, and physical processes. Manage partner relationships and maintain alignment with Anthropic goals. You may be a good fit if you: Have 10+ years of experience in data center facility operations as a manager, engineer, technical lead or related role. Can demonstrate a proven track record overseeing a portfolio of mission critical systems. Are a subject matter expert in facility operations process development including deployment, commissioning, & maintenance. Are experienced in third-party partner relationship management. Bachelor's degree in relevant domain or equivalent practical experience. It's a bonus if you have: 15+ years of experience managing operations for large scale data centers. An understanding of AI/ML workloads, including power, cooling, and network connectivity Experience supporting technology cooling solutions such as rear door heat exchangers and/or cooling distribution units, Experience managing third-party datacenters such as colo operators and/or contract staffing vendors. Familiarity with data center facilities commissioning processes including developing commissioning plans, creating criteria, and conducting hand-over reviews Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.