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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 As a Safeguards Enforcement Analyst focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm Proficiency in Python for data analysis and workflow automation Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization Familiarity with cross-platform threat analysis and OSINT techniques The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 looking for an experienced G&A Recruiter to help build the business functions that keep our company running smoothly. You'll partner directly with hiring managers across our General & Administrative teams, owning searches that range from high-volume pipelines to highly strategic, hard-to-fill roles — and you'll be expected to context-switch between them without dropping quality. This is a role for someone who thrives on ownership across a diverse portfolio. You'll manage a high req load across multiple hiring managers, use data and systems to prioritize and surface issues early, and build repeatable processes that scale. We're also looking for someone who actively leverages AI and automation to increase throughput while protecting a great candidate experience. Beyond execution, you'll bring genuine recruiting expertise to your stakeholders: calibrating profiles, sharing market insight, improving processes, and pushing back constructively when patterns aren't working. As Anthropic grows quickly, this role will be key to scaling the teams that support our mission. Key responsibilities Own full-cycle recruiting across G&A functions, adapting candidate profiles, comp benchmarks, and assessment criteria to each segment and level Context-switch between high-volume hiring and strategic, senior searches while maintaining consistent quality and candidate experience Manage a high req load across multiple hiring managers without becoming a bottleneck — using data and systems to prioritize, surface issues early, and keep pipelines healthy Build repeatable, scalable processes, and leverage AI and automation to increase throughput across your portfolio Integrate into existing hiring rhythms while bringing recruiting expertise — calibration, market insight, and process improvement — and pushing back constructively when patterns aren't working Own outcomes across a diverse portfolio, holding yourself accountable for hiring results rather than activity Protect Anthropic's culture by deeply understanding our mission and screening for alignment alongside capability Minimum qualifications Have demonstrated success recruiting across G&A role types and segments (e.g., Finance, Legal, People, Operations) and understand how profiles, comp, and assessment criteria differ across levels Can show examples of moving fluidly between high-volume pipelines and strategic searches without sacrificing quality or candidate experience Have managed heavy req loads across multiple hiring managers, and use data to prioritize, spot bottlenecks, and surface issues before they become problems Build repeatable processes and are actively experimenting with AI and automation tools to increase your throughput Have strong stakeholder management skills — you integrate into existing hiring rhythms, add value beyond execution, and push back constructively when something isn't working Bring an ownership mentality across a diverse portfolio, with a continuous improvement mindset Are deeply curious about Anthropic's mission and passionate about AI's potential to positively impact the world 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. 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 enterprise business is growing fast, and enterprises are adopting Claude across product surfaces. Before they can deploy at scale, they need the same foundations everywhere: security and compliance controls, identity and access management, data governance, admin controls, and cost and spend management. This work is especially critical for customers in regulated industries (financial services, healthcare, public sector), whose security, privacy, and resilience requirements set the bar for everyone else. We're looking for a Technical Program Manager to partner with the teams that own these enterprise foundations, own the planning and execution rhythm that gets each capability onto every surface, and contribute to a coherent leadership view of coverage, gaps, and progress across products. This is a senior role: product, engineering, and GTM leaders will look to you for where we stand on enterprise readiness and for the plan to close the gaps. Responsibilities Run the planning and operating cadence for the foundational-capability roadmap across surfaces: clear DRIs, sequenced dependencies, and a single source of truth on coverage and status for product, engineering, and GTM leadership Drive the highest-priority foundational capability programs end to end, from scoping and tradeoff decisions through delivery on every surface Shape the readiness bar for new products and features: what a surface must have in place before it reaches enterprise customers, and the call on in-flight features that are missing controls Work across teams and directly with customers: partner with sales, customer success, solutions, and support on active deals and escalations, join customer security and compliance reviews, and bring what enterprises are blocked on back to product and engineering Translate customer and regulatory requirements into technical programs: work with legal, compliance, and GTM to prioritize the highest-impact enterprise asks and map them to roadmaps with dates Sample projects include Take a regulated customer's security control assessment from findings to closed gaps, with owners and dates across product, security, and infrastructure Stand up a data residency program: gather requirements by market, what each surface must support, and sequencing with infrastructure Build the operating model for co-building with a large enterprise design partner: staffing, cadence, and how their asks reach the roadmap Extend healthcare compliance coverage to new product surfaces, with a migration path customers can actually take You may be a good fit if you Have 8+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments Have driven decisions among senior leaders with competing priorities, and are comfortable plainly articulating what is and is not ready for enterprise customers Have driven adoption of platform or horizontal capabilities across product teams that don't share a reporting line, where success depended on other teams building on what you shipped Understand what enterprises require before they adopt at scale, particularly for customers in regulated industries: security and compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP), identity and access (SSO, SCIM, RBAC), data governance (retention, residency, customer-managed keys), audit logging, and spend controls Have worked directly with regulated customers on their security reviews, questionnaires, audit findings, and contract redlines, and understand how control design, evidence collection, and engineering delivery fit together Thrive when the operating model itself is still being defined and see shaping it as part of the job Strong candidates may also have Owned a HIPAA program end to end at a software company, including BAAs, PHI handling, and supporting product controls Worked with financial services customers on data retention, data residency, and encryption requirements (including retention and deletion commitments, regional hosting, customer-managed keys, and contractual evidence and attestations) Run a design partnership or co-build with a large enterprise customer Experience using Claude or other LLM tooling to automate program tracking and reporting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | 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 Anthropic's Tax team sits within Finance & Accounting and is responsible for the company's tax position as we grow quickly in the US and internationally. New entities and jurisdictions, intercompany arrangements, financing, acquired businesses, and large commercial and compute agreements all carry US international tax consequences, and those consequences are getting larger and more complex as the company scales. We are looking for an International Tax Director to join our Tax planning, M&A, and Policy team. Your core subject matter is the US international provisions, including subpart F, NCTI, FDDEI, BEAT, and the foreign tax credit, along with the subchapter C rules that govern how we form, fund, and structure entities. This is a hands-on technical role. You will write the memos behind your recommendations, review the models that support them, and see your projects through to implementation, often in areas where the facts are new to the company or the law has recently changed and guidance is still developing. Our M&A tax colleagues lead diligence and deal structure on transactions, and once a deal closes you will help work out how the acquired business fits into our international structure. You will also work closely with the colleagues who own the tax provision, compliance, and transfer pricing, and with Legal, Treasury, and Accounting. If you enjoy carrying hard technical questions through to implementation as part of a small team, we would like to hear from you. Key responsibilities Lead and support US international tax planning projects from initial analysis through implementation, and contribute to how the planning group identifies and prioritizes its work Analyze the US international tax consequences of business initiatives, including new entities and jurisdictions, intercompany arrangements, funding and repatriation, and cross-border commercial and compute agreements, and recommend how to structure them Perform and review technical analysis under subpart F, NCTI, BEAT, and the foreign tax credit rules, including expense allocation and apportionment and the interaction among these provisions Apply subchapter C to entity formations, contributions, distributions, liquidations, and internal reorganizations, including earnings and profits and stock basis analysis Define the assumptions and scenarios for models that quantify the cash tax and effective tax rate impact of planning alternatives, acquired structures, and legislative and regulatory changes; review those models for technical accuracy and provide input on them; and be accountable for the conclusions drawn from them Support the M&A tax team after closing by developing the step plans that integrate acquired entities into Anthropic's structure, reviewing the modeling of the alternatives, and leading follow-on planning for the combined structure Draft technical memoranda and maintain documentation that would support each planning position on examination, and work with the provision team on ASC 740 treatment, including uncertain tax positions Partner with tax compliance and transfer pricing so that your projects are reflected accurately in intercompany pricing, the provision, and the US international filings (Forms 5471, 8858, 8991, 8992, 1118, and related), and review the international portions of the US return as a subject matter expertise Scope, budget, and manage work performed by outside advisors on your projects, and review their deliverables Track US legislative and regulatory developments and OECD developments in your areas, assess their impact on our position, and share the analysis with the planning group and Finance leadership Work with the tax advisory team, Legal, Accounting, and Treasury to make sure approved planning and integration steps are implemented as designed, including intercompany agreements Support responses to IRS and other tax authority inquiries relating to positions you have worked on Minimum qualifications Have deep technical knowledge of the US international tax provisions, including subpart F, NCTI, BEAT, and the foreign tax credit rules, and have applied them in a planning context rather than in compliance alone Have working knowledge of subchapter C as it applies to multinational groups, including earnings and profits, stock basis, distributions, and internal reorganizations Have led tax planning projects end to end, including scoping, technical analysis, modeling, documentation, and implementation Understand how planning positions flow into transfer pricing, the ASC 740 provision, and the US international compliance forms Can research a technical question in the Code, regulations, and administrative guidance and write a clear, well supported memorandum Can review a tax model built by someone else, identify where the technical assumptions or mechanics are wrong, and explain what needs to change Have managed outside advisors, including scoping work, managing budgets, and reviewing their output Can run several projects at once with different internal owners and keep each of them moving Can reach a defensible recommendation when the facts are incomplete or the guidance is unsettled, and can explain the remaining uncertainty Communicate technical tax conclusions clearly to people who are not tax specialists, and work well with colleagues in Legal, Accounting, and Treasury Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications CPA, JD, or LLM in taxation 15+ years of extensive US international tax experience, for example a combination of public accounting or law firm practice and an in-house role at a multinational technology company Experience with post-acquisition integration planning, including step plans and modeling for bringing acquired entities into an existing international structure Direct experience with transfer pricing, Pillar Two, or the FDDEI deduction and how they interact with the US international provisions Familiarity with the tax rules of the non-US jurisdictions where a US technology company typically operates Have working knowledge of partnership tax as it applies to multinational groups, including the formation and funding of joint ventures, allocations and distributions, and how partnership structures interact with the US international provisions Experience planning around large cross-border commercial arrangements, such as cloud, compute, or licensing agreements, or standing up entities in new jurisdictions Experience with infrastructure or capital-intensive investments, such as data centers, energy, or similar assets, including joint venture and financing structures Experience supporting an IRS examination of international positions Experience at a company that scaled significantly, or built out its international structure, during your tenure Have built or reviewed US international tax models yourself, which tends to make review faster and more precise Have used Claude or similar tools in tax research, modeling, or documentation, and have views on where they help and where they do not Have mentored or developed other tax professionals The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States; 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 Cyber Evaluations Engineers to build and run the evaluations that measure cyber-relevant capabilities and safeguard robustness in our models. You'll design new evals, run per-release robustness testing, and dig into data on jailbreaks and prompt bypasses to understand where our safeguards hold up and where they don't. You'll also design many of the probes that detect cyber abuse in production and help shape the overall detection architecture alongside the policy team. Key responsibilities Design and run capability, uplift, and safety evaluations to assess cyber-relevant risk in new models Execute per-release safeguard-robustness testing ahead of major model launches Analyze evaluation results and communicate findings clearly to the team and to stakeholders Design, prototype, and tune detection probes for cyber misuse Work with the cyber policy team to turn policy lines into a layered, robust abuse-detection architecture, and measure its precision and coverage over time Build and maintain internal tooling used to run and score evaluations Collaborate with policy and engineering partners to translate eval findings into safeguard improvements Minimum qualifications Experience building or running evaluations, benchmarks, or test suites for software or ML systems, including delivering results on short, fixed timelines Hands-on cybersecurity experience (e.g., CTF participation, vulnerability research, exploit development, or security research) Proficiency in Python Strong ability to communicate evaluation results with multiple cross-functional stakeholders or potential policy stakeholders Preferred qualifications Deep offensive-security or security-research experience, including experience building AI security benchmarks Experience analyzing adversarial or abuse data (e.g., jailbreaks, prompt bypasses, intrusion or fraud telemetry) Experience working onsite with government partners on testing or evaluation engagements Experience with AI/ML evaluation frameworks Familiarity with coordinated vulnerability disclosure practices Experience testing pre-release or pre-deployment software or models under confidentiality constraints Experience authoring detection content (e.g., Sigma, YARA, Suricata, SIEM rules) or building ML-based abuse detection Active secret security clearance or higher, or eligibility to obtain one The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | 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 Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams Develop and retain strong existing teams, and hire against a high technical bar Coach engineers through a roadmap where priorities shift Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate Minimum qualifications Engineering management experience leading teams on critical-path production infrastructure at scale A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems Preferred qualifications 5+ years of engineering management experience Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents) Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing Experience leading teams at supercomputing or hyperscaler infrastructure scale Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 compute fleet is one of the largest and most varied in the world, and everything we do from training frontier models to serving Claude depends on getting the right work onto the right hardware at the right time. Our Scheduler team owns that problem. We build the scheduling layer for Anthropic's Kubernetes fleet, the tools researchers and engineers use to launch and manage their jobs, and the systems that make sure the fleet is used as efficiently as possible. When a researcher starts a run, the scheduler decides where it lands and how quickly; when demand outstrips supply, it decides who waits. This team provides the paved path that lets everyone at Anthropic get compute when they need it without becoming an expert in the infrastructure underneath. We're looking for an engineering manager to lead this team. The scheduler is on the critical path for nearly all of Anthropic's compute, and the mandate is expanding quickly: making scheduling work seamlessly across a growing, heterogeneous fleet; raising utilization while keeping jobs starting fast; making the system's decisions predictable and explainable to the people who depend on it; and making the job-launch experience something researchers rarely have to think about. You'll lead a team building infrastructure that the entire research and product organization depends on, and you'll partner closely with capacity planning, research, inference, and product teams to make efficient use of the fleet. Key responsibilities Lead and grow a team of engineers building Anthropic's scheduling platform, job-launch tooling, and fleet-efficiency systems, owning planning, execution, and delivery against key milestones Set technical direction for scheduling, placement, queueing, and quota across Anthropic's compute fleet Partner with capacity planning, research, inference, and product teams to bring workloads onto the paved path and make efficient scheduling decisions Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs Define and track the metrics that measure fleet efficiency and scheduling quality (utilization, queue wait, job-start latency, etc.) and hold the team accountable to them Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where demand for compute routinely exceeds supply Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications Experience managing and growing a team of software engineers A hands-on software engineering background as an individual contributor prior to moving into management Experience building or operating large-scale distributed or infrastructure systems in production Working knowledge of Kubernetes and cluster scheduling concepts, such as resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers Excellent written and verbal communication skills, including the ability to create clarity across teams Preferred qualifications 5+ years of engineering management experience, including leading infrastructure, platform, or compute teams Experience owning a cluster scheduler, job orchestration system, or resource manager at scale Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization, fairness, and latency Experience building developer tooling that other engineers rely on every day A background in observability or incident response for control-plane systems, and a track record of improving production reliability A track record of building a culture of belonging and of engineering excellence Low ego, high empathy, and a habit of leading by example The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | 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 Anthropic is seeking a Director, Investments & Liquidity to join our Treasury team. This is a foundational role on a quickly growing Treasury team. As we experience exponential growth, you will be instrumental in ensuring optimal capital allocation, protecting our financial assets, and establishing the policies and infrastructure needed to support our expanding global operations. The work spans strategy and execution: owning the capital planning framework and investment policy, standing up in-house trading infrastructure, and overseeing external managers. Reporting to the Head of Investments & Markets, you will partner closely with teams across Finance, Legal, and Accounting to achieve these objectives. You will build AI-native investment workflows: apply AI tools to portfolio analytics, manager and counterparty monitoring, IPS compliance, interest income forecasting, and executive reporting, partnering with Finance, Engineering, Data, and FinSys, with controls, documentation, and auditability built in. Key responsibilities Own and optimize Anthropic's external investment program, including money market funds, bank deposits,and separately managed accounts Monitor external manager performance and maintain a manager bench with clear performance reporting Design and build an in-house investment program, including direct fixed income trading capability, trade infrastructure, and custodian connectivity Develop and operationalize a capital planning framework across operating and strategic liquidity tiers Design and maintain the investment policy statement, Treasury policies, and SOX-ready investment controls Build CFO-ready management reporting covering portfolio performance, policy compliance, and risk exposures Minimum qualifications Deep expertise in corporate cash investment strategy, developed in Treasury, corporate finance, or fixed income portfolio management Experience with an in-house investment program, including direct fixed income trading Hands-on experience with SMAs, investment policy design, capital allocation frameworks, and external manager oversight Experience developing and implementing Treasury policies and SOX-ready controls Demonstrated operational readiness at scale, with comfort being personally accountable for large, time-sensitive cash movements Familiarity with the Investment Company Act of 1940 and relevant exemptions Preferred qualifications 10+ years of relevant experience in Treasury, corporate finance, or fixed income portfolio management Experience in a high-growth technology environment Experience standing up in-house trading capability and trade infrastructure, including order management systems and custodian connectivity Familiarity with integrating cash forecasting into investment laddering FX/derivative trading experience to act as back up trader for risk team CFA charter The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | 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 Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet. We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments. We're looking for experienced product managers and founders with real scientific or technical depth: people who can hold their own in a conversation with a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research. Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. Key responsibilities Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape Prototype ideas yourself with Claude to validate them before committing engineering time Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings Drive enterprise readiness  — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it Minimum qualifications Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks Preferred qualifications 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms) Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations A track record of launching ambitious products that found distribution or commercial success Experience designing trusted-access or staged-rollout programs for sensitive capabilities A creative, hacker spirit and a love of solving hard puzzles The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics Evaluate and implement emerging technologies to modernize integration architecture Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions Track record of leading technical workstreams during ERP transformations or major system migrations Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) Experience leveraging agentic development workflows Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 As an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations. Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions Minimum qualifications Experience as a people manager Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research Experience performing content review, abuse investigations, or policy enforcement at volume Proficiency in SQL and/or Python for data analysis and threat detection Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Preferred qualifications Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company Experience with large language models and an understanding of how AI technology could be misused for cyber operations Experience operating within abuse monitoring programs or enforcement review systems Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Experience working with government agencies, regulated environments, or information sharing communities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 As an Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue within a book of strategic digital native accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your account's landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead expansion by pinpointing new use cases and business units. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic account Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solution Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify robust set of business drivers behind all opportunities Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders Experience selling emerging technologies or complex solutions to large digital native companies. Ability to navigate technical evaluations and translate complex capabilities into business value A strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups A consultative sales approach with focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions A high level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously A passion for AI and emerging technologies with enthusiasm for helping organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 Regulatory Counsel to lead our legal work on AI regulation in the United States and to support our global AI regulatory posture. In this role, you will be an in-house regulatory lawyer for Anthropic's US AI regulation and a key contributor to our global frontier AI compliance strategy. You will provide regulatory-readiness counseling as new laws are developed, day-to-day advice once they are in force, and legal support for Anthropic's non-contentious engagement with US regulators and standards bodies. While the role is US-focused, AI regulation is inherently global: you will help ensure a consistent worldwide compliance posture, coordinate closely with colleagues leading our EU and international workstreams, and contribute to EU AI Act and other international work where it overlaps with your areas. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, cross-functionally with Legal, Compliance, Safeguards, Security, Policy, Research, and product teams. Key responsibilities Serve as one of Anthropic's lead in-house regulatory counsel for US AI regulation, covering applicability analysis, readiness, day-to-day advice, and compliance-program design Own US regulatory compliance deliverables end to end, such as published safety and transparency frameworks, model documentation obligations, and incident-reporting requirements Track legislative, regulatory, and standards developments across US federal and state jurisdictions (and internationally where relevant), assess applicability and impact on Anthropic's business and products, and design compliance approaches well in advance of obligations taking effect Counsel legal, compliance, safety, security, and business teams on day-to-day regulatory questions once laws are in force, translating complex and often ambiguous requirements into practical guidance and scalable compliance programs Support Anthropic's engagement with US AI regulators, enforcement agencies, and standards bodies — including notifications, information requests, reporting obligations, and voluntary framework and standards processes — in close partnership with Policy Partner with Anthropic's Policy and Policy Legal teams on pre-legislative and rulemaking engagement, including comment letters and regulatory submissions, translating policy positions into legally-grounded regulatory positions Partner with Anthropic's Litigation and Regulatory Investigations Legal teams on litigation and regulatory enforcement concerning AI regulation Contribute to Anthropic's global frontier AI regulatory work where it intersects with US obligations Minimum qualifications JD from an accredited law school and active membership in at least one US state bar Hands-on experience advising a technology business (in-house or at a leading law firm) on emerging regulatory regimes, including taking questions from first read of a statute through to a documented compliance position and a shipped artifact Experience engaging with regulators, enforcement agencies, or standards bodies in a non-contentious supervisory capacity Experience drafting regulatory compliance deliverables, such as compliance policies, regulatory submissions, or published compliance frameworks Ability to communicate complex legal concepts clearly to technical, policy, product, and business audiences Preferred qualifications 8–12 years of regulatory legal experience, with substantive depth in technology regulation and hands-on exposure to AI-specific frameworks Direct experience with frontier AI regulatory regimes — California SB 53, the Colorado AI Act, or comparable state laws; or the EU AI Act and GPAI Code of Practice Experience at a frontier AI company, large technology platform, or other hyper-scaling technology business operating under novel regulatory regimes Familiarity with adjacent laws that intersect with AI regulation — e.g., privacy and data protection, consumer protection, product safety, and export controls Familiarity with model evaluation, capability testing, or AI safety concepts A background that combines private practice and in-house experience Comfort with ambiguity and the ability to develop novel compliance approaches in areas without established precedent Strong organizational skills to run several workstreams in parallel and keep compliance artifacts current without prompting Excellence at cross-functional collaboration Passion for responsible AI development and getting the balance right between innovation and appropriate safeguards Understanding of how to build constructive long-term relationships with regulators and standards bodies Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | 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 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 A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud. Responsibilities: Model Safety Across Clouds Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces Drive our transparency commitments to customers and partners on data access, review, and enforcement Fraud & Abuse Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing Define the fraud signals we exchange with each cloud partner and turn them into product requirements that influence growth initiatives Cross-functional Leadership Engage directly with enterprise security, risk, and compliance leaders to understand their requirements and turn them into roadmap priorities Be Anthropic's product counterpart to trust & safety, security, and compliance teams at AWS, Google, and Microsoft Work with Safeguards, Inference, Policy, Security, Legal, and multi-cloud engineering to ship one coherent set of controls across three clouds Partner with sales and partnerships to support enterprise evaluations where data-handling and safety requirements are decisive Work with marketing and partner teams on how we position our safeguards externally Minimum requirements: Have 10+ years of experience. Have 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software. Operate with high autonomy in ambiguous, fast-moving environments, with a track record of executing across teams and organizations. Are an excellent written communicator and able to drive clarity out of complexity. Are equally fluent in policy nuance and systems detail, and can explain the tradeoff between them to lawyers, engineers, go to market teams, and partner executives alike. Preferred requirements Prior product experience in trust & safety, security, privacy, or compliance. Have built or shipped products with a hyper-scaler as a partner — you know how to align strategic goals and deliver impact over multiple quarters in partnership with an external third party Have owned a top line revenue target while being held to counter-risk outcome — a fraud-loss number, an abuse rate, a compliance authorization, an enforcement program — not just a product roadmap. Direct experience on a trust & safety, fraud, or security product team at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces. Background in AI safety, content moderation, or abuse-detection systems. Designed incident-response or escalation processes that span more than one company. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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's Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll lead our policy design team, managing the teams responsible for radicalization, child safety, user well-being, harmful manipulation, and election integrity, among other harm areas. The team is responsible for understanding and defining the risks that come with engaging with Claude, how those risks materialize in the real world, and the mitigations needed to prevent them. As the manager, you'll work with your team to draw the boundaries between what is and is not allowed, then partner with research, product, and engineering to build the right interventions. Mitigating these harms takes the whole stack: the values and judgment trained into the model itself, the policies and detection systems we enforce on top of it, and the interventions we build into our products. More capable models, new product surfaces, and new user behaviors will keep testing these boundaries, so the team's policies have to keep pace. You'll work closely with product to develop and iterate on the strategy and vision for how our safety layers fit together, and with your team and cross-functional partners to decide which mitigations make the most sense and how to implement them. You'll also coordinate policy decisions across the portfolio: ensuring they're made with the right stakeholders in the room, tracked over time, and applied consistently across harm areas and product surfaces. This is a leadership role for someone who combines expertise in the harm areas themselves with fluency in how frontier models are actually developed and deployed, and who does their best work across team boundaries. You'll spend as much time developing the leads who own each harm area as you will on the policy questions themselves. *Important context for this role: some of the work involves exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature. Key responsibilities Lead, develop, and grow the managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity Coordinate policy decisions across the portfolio, and build the mechanisms that keep them tracked, consistent, and legible — so stakeholders know what was decided, why, and who owns what Set the strategy for how mitigations built on top of the model — policies, detection and enforcement systems, and product interventions — complement what is trained into the model itself, partnering closely with the alignment training team that owns Claude's character Prioritize across harm areas competing for the same resources, and make those tradeoffs and their rationale clear to leadership Serve as the escalation point for high-severity and ambiguous consumer harms decisions, including rapid response to emerging risks Partner with engineering, data science, product, legal, and research across the model development cycle so consumer harms considerations are represented from training through launch, on every surface where Claude is deployed Engage external experts, civil society organizations, and regulators, and translate that engagement into stronger policy and enforcement Minimum qualifications Experience leading teams — including managing managers or senior specialists — in AI safety, product policy, or a related field Deep, applied familiarity with consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity, and good judgment about how these harms differ in mechanism, severity, and mitigation A track record of exceptional cross-team collaboration: building durable working relationships with teams you don't control, and getting to shared decisions where ownership is genuinely distributed Working understanding of how frontier models are developed and deployed — the training and fine-tuning cycle, evaluations, and launch processes — and how different model environments (consumer products, APIs, agentic tools) change both risk and the mitigations available Experience translating policy positions into mechanisms that can be enforced and measured, and communicating the reasoning to technical and non-technical audiences, including executives Sound judgment in ambiguous, high-consequence decisions, and comfort making a call and escalating appropriately on incomplete information Preferred qualifications Subject-matter depth in one or more of the portfolio's harm areas, from academia, clinical practice, civil society, government, or trust & safety work Experience working directly with model training or research teams on model behavior, or shaping the character of a deployed AI system Experience with generative AI safety systems, including LLM-based classification, evaluation, or enforcement pipelines Experience engaging external stakeholders in these domains — child safety organizations, election authorities, mental health experts, or regulators Experience using agentic AI tools to scale a team's analysis and operations 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: $330,000 — $395,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible. About the role We're looking for a Partnership Manager to grow our AI for Science Program . You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains. In this role, you'll help build our approach to deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine genuine curiosity and grounding in the sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI. Responsibilities: Execute Anthropic's AI for Science API credit program, managing day-to-day partnerships with academic labs, small start-ups, and potentially foundations Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities Manage timelines, resource requirements, and regular reporting associated with the AI for Science program Work closely with partners to understand their technical and operational needs and translate them into deployment plans Comfort with early technical prototyping and testing to help learn alongside and unblock partners Contribute to a research agenda for understanding AI's impact on individual labs across domains Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem Represent Anthropic at global scientific convenings and conferences Help shape team processes and culture as we scale our Life Science work You may be a good fit if you have: 2+ years of experience in or around life sciences research, with exposure to how new technologies can accelerate scientific progress Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies— whether through organizing journal clubs, meetups, student groups, or online scientific communities A growing network in the life sciences: you understand the landscape of universities, research institutes, and tools companies, and are energized by building new relationships Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams Analytical mindset with experience using data to inform strategy and measure impact An entrepreneurial mindset: you're excited to build programs from scratch, and may have early experience doing so at a startup, in a lab, or through a side project A genuine drive to maximize impact for underserved communities High agency and comfort with ambiguity; you thrive when you're building the plane while flying it Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities Willingness to travel for occasional partner visits and conferences Strong candidates may also have: Experience managing external partnerships, grantmaking, or multi-stakeholder initiatives Experience working with philanthropic foundations on science funding Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product Background in wet lab research with an ability and aptitude for scientific communications The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $170,000 — $215,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI compute at a scale and pace that outruns what off-the-shelf data center equipment was designed for. Much of the power and cooling equipment behind our next campuses — battery energy storage systems (BESS), grid-forming and grid-following inverters, solid-state transformers (SST), E-STATCOM and other power-quality devices, medium-voltage switchgear, UPS, and liquid-cooling systems — is either new to the market, new to the supplier, or being built at a volume the supplier has never shipped before. The NPI Engineer owns the path from "the supplier has a design" to "the equipment is qualified, manufacturable at rate, and running reliably on site." You sit between our electrical and mechanical design teams, our supply chain and quality teams, and the supplier's engineering and factory organizations, and you make sure every new product or major variant clears the gates — EVT, DVT, PVT, FAT, SAT — before it is trusted with production load. This is a hands-on role: you will spend real time on supplier factory floors, in test labs, and at site commissioning. What you'll do Own the NPI program for each new power or cooling product (BESS, inverters, SST, E-STATCOM, MV switchgear, UPS, CDUs, chillers) from concept selection through ramp, including the gate schedule, exit criteria, and risk register. Drive early supplier design engagement: translate our site requirements (fault current, grid interconnection, harmonic and ride-through requirements, thermal envelopes, footprint, serviceability) into product requirements and specifications the supplier can build to, and negotiate trade-offs with their engineering teams. Lead DFM/DFT/DFx reviews with suppliers so designs are manufacturable at the rate we need, testable in the factory, and serviceable in the field. Plan and run prototype and pilot builds: define EVT/DVT/PVT scope and sample counts, witness builds, own test plans (type testing, HALT/HASS, thermal, EMC, protection coordination, functional and integration tests), and drive root cause and corrective action on every failure. Qualify the product for deployment: define and execute first-article inspection, factory acceptance testing (FAT), site acceptance testing (SAT), and integrated system testing with the rest of the electrical and cooling chain, and sign off on production readiness. Hand off to steady state: transfer qualified products, control plans, test procedures, and known-issue lists to the Manufacturing Quality and Supply Chain Delivery teams, and support them through the first production ramps. Build the reliability picture: run FMEA/DFMEA with suppliers, define reliability targets and burn-in requirements, and feed field failure data back into the next revision. Coordinate cross-functionally with design engineering, construction, commissioning, utilities/interconnection, safety, and sourcing so NPI schedules are integrated with campus delivery schedules. Keep suppliers honest: track readiness and risk with clear metrics, escalate early, and hold technical reviews that resolve issues rather than admire them. You may be a good fit if you have 8+ years of engineering experience in power electronics, electrical equipment, or industrial energy systems, with at least 4 years in an NPI, product development, or product engineering role that owned a product from prototype through production ramp. Direct, hands-on experience with at least two of: BESS, utility- or data-center-scale inverters, medium-voltage transformers or switchgear, UPS, STATCOM/power-quality equipment, or liquid cooling systems (CDUs, chillers, hydronics). Working knowledge of the relevant standards and how they get applied in qualification: UL 9540/9540A, UL 1741 and IEEE 1547, IEEE 2800, IEC 62477 / IEC 62909, IEEE C37 and C57 series, NFPA 70/855, UL 1778, and comparable IEC equivalents. Experience defining and executing structured qualification programs (EVT/DVT/PVT, FAT/SAT, type testing, reliability testing) and closing failures with disciplined root cause analysis and CAPA. Familiarity with supplier factory environments — production lines, test bays, quality systems — and the ability to assess a supplier's real readiness to ship at rate. Fluency in design-for-manufacturing and design-for-test principles and the supplier ECO/change-control process. Strong systems thinking: you can reason about how an inverter, a battery, a transformer, and a cooling loop behave together at a site, not just in isolation. Clear written and verbal communication, and comfort driving decisions across engineering, supply chain, and executive audiences. A bachelor's degree in electrical, mechanical, or power engineering, or equivalent experience. Willingness to travel 30–40% to supplier factories and data center sites, including internationally. Strong candidates may also have Experience with solid-state transformers, grid-forming inverters, E-STATCOM, or other emerging power-conversion equipment being introduced to data center or utility applications for the first time. NPI or product engineering experience at a hyperscaler, a large utility-scale developer, or a Tier-1 power equipment OEM. Background in grid interconnection studies, protection coordination, or power-system modeling (PSCAD, ETAP, PSS/E, or similar). Liquid cooling product introduction experience — CDU, rear-door heat exchanger, direct-to-chip, or immersion systems. Reliability engineering credentials (CRE, Six Sigma) or experience running HALT/HASS programs. Firmware and controls validation experience for power conversion equipment (inverter control loops, BMS, EMS, PLC/SCADA integration). Experience standing up or scaling new supplier manufacturing lines, including contract manufacturing and international sites. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions Handle civil third-party subpoenas and preservation demands Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling Run and improve the law enforcement response process and tooling Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests Monitor legal developments in government access to user data and advise the team on their operational impact Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives Minimum qualifications Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously Experience owning an intake, queue, or docketing process end to end,  including deciding what gets escalated and maintaining rigorous tracking Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department Preferred qualifications 5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department 2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies Experience building or scaling a law enforcement response process Experience managing legal intake process within a growing company Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $170,000 — $220,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.