Вакансии

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Data Center Transaction Principal, Europe About the role As a Transaction Principal for Europe at Anthropic, you'll drive the commercial sourcing and transaction execution process for our European data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems across Europe — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Europe market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution, and doing so across multiple countries with distinct regulatory, power, and development dynamics. Responsibilities Lead the RFP and commercial sourcing process for European data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross-functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly Marry the right projects, capital stacks, and developers at the right stages Navigate country-specific permitting, grid connection, and regulatory requirements that vary significantly across European markets Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint across the region Partner with the Compute Markets Manager to prioritize markets, sites, and counterparties, and feed deal learnings back into Europe market strategy You may be a good fit if you Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions Have experience working in or across European markets, with knowledge of the regional data center and development landscape — including established FLAP-D hubs and emerging markets like the Nordics and Southern Europe Are comfortable operating across multiple countries with different legal frameworks, languages, and business cultures Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution Demonstrate exceptional communication skills and can coordinate effectively across time zones with US-based HQ teams and distributed European partners It's a bonus if you Have experience with data center or hyperscale infrastructure transactions specifically Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees) Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements across multiple European jurisdictions Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the European context (fragmented national power markets, grid connection queues, renewable PPAs, sustainability and efficiency regulations) Have familiarity with data sovereignty and regulatory considerations that influence European site selection Have relationships within the European data center developer, operator, and broker ecosystem Have a background in corporate development, strategic partnerships, or infrastructure investment Have experience in high-growth technology companies managing infrastructure expansion The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £1 — £1 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 As a Transaction Manager at Anthropic, you'll drive the commercial sourcing and transaction execution process for our data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems, requiring you to bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams. Responsibilities Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts. Lead the RFP and commercial sourcing process for specific data center deals, managing developer outreach, proposal evaluation, and competitive selection processes Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance organization to ensure alignment prior to lease execution Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms You may be a good fit if you Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization It's a bonus if you Have experience with data center or hyperscale infrastructure transactions specifically Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Possess familiarity with data center developer ecosystems and market dynamics Have experience in high-growth technology companies managing infrastructure expansion Understand utility coordination, power procurement, or energy considerations in data center transactions Have a background in corporate development, strategic partnerships, or infrastructure investment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Training and serving frontier AI models requires data center capacity at a scale and pace that conventional delivery models were not built for. Anthropic's Data Center Capacity Delivery team embeds with developers, general contractors, and third-party partners to take leased and partnered sites from deal close through floor access and operational handover as fast as they can safely be built. As the Reporting and Controls Lead, you'll own the single view of where every project in the delivery portfolio stands: consolidated milestone tracking from early floor access through floor access and ready-for-service, the integrity of the data behind it, and the capacity projections leadership plans against. You'll build and run the reporting the delivery team and executives rely on, and chase down the schedule and data discrepancies it surfaces. This is a highly cross-functional role: you'll work with Senior Delivery Managers and Regional Managers in the field, our third-party project-management partners, and the planning, transaction, design, and deployment teams whose inputs and outputs the portfolio schedule depends on. MOC (Mission + Outcomes + Competencies) Mission Give the delivery team and leadership one trustworthy view of where every project stands. Outcomes Consolidated milestone tracking (early floor access, floor access, RFS) current across all projects. Schedule and status data reconciled at the source. Portfolio capacity projections and variance to plan maintained. Delivery-review and executive reporting built; data-quality checks automated where possible. Competencies Project controls / scheduling on large capital programs. Portfolio-level, not single-job, reporting. Scheduling, spreadsheet, and BI tooling fluency. Identifying, qualifying, and packaging data driven insights that define project and portfolio health. Responsibilities Own consolidated milestone tracking across all active and upcoming delivery projects — early floor access, floor access, ready for service — and keep it current Validate schedule and status data from developers, GCs, and third-party partners; challenge what doesn't reconcile and fix it at the source Maintain portfolio capacity projections and the variance to plan behind them Build and maintain reporting for delivery reviews and executive updates Define the data standards and integrated-schedule and tooling conventions projects report against, with the Program Management Lead Automate reporting and data-quality checks where possible, including with AI-assisted tools You may be a good fit if you Have [7+] years in project controls, scheduling, or program reporting on large capital construction programs — data center, energy, or industrial Have run consolidated reporting across a multi-project portfolio, not a single job Are fluent in scheduling, spreadsheet, and BI tooling [e.g. Primavera P6, Excel, Power BI — confirm] Communicate clearly, in writing and in charts, to technical and executive audiences Are comfortable building the process while running it Strong candidates may also have Hyperscaler, colo, or developer-side program-controls experience Owner's-side cost controls or earned-value reporting experience Built planning or reporting tools leveraging AI-assisted development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom; Europe; London Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Location: UK Active DV clearance is highly preferred In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll own our conventional weapons work. Defining a crisp boundary between acceptable and harmful requests in this domain is difficult, because the underlying components are dual-use: the same capabilities that serve civilian engineering and research can also contribute to a weapons system. Building the threat models, evaluations, and detection systems that hold that boundary is the core of this role. Conventional weapons are increasingly defined by software, and the risks reach well beyond firearms: from a model operating a weapons system or writing guidance code, to the weaponization of dual-use platforms. The role spans every weapon class, up to autonomous systems that select and engage targets without human authorization. You will help define the line between prohibited weapons development and legitimate research and engineering work, and how to operationalize the distinction. This will include translating technical judgment into principles that engineers can implement and enforcement teams can act on. Key responsibilities Own and maintain Anthropic's conventional weapons policy, defining the boundary between the activities our models should and should not support Build the threat models and evaluations that measure how our models could contribute to weapons development, including the software and autonomy components that define modern weapons systems, and keep them current as the technology and its misuse evolve Partner with engineering to turn the policy into model guardrails, detection systems, and enforcement tooling Serve as the subject-matter expert for escalations involving conventional weapons content, including rapid response to emerging risks Build shared understanding of the policy across product, engineering, legal, and leadership, communicating its reasoning to technical and non-technical audiences Engage external experts as well as government and industry partners, and translate that engagement into stronger policy and enforcement Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence into sound policy judgments Experience in a relevant setting, such as a service research laboratory, a defense research or innovation agency, or a company that designs or builds weapons systems Can write clear, operationally precise policy and explain complex technical topics to non-specialist audiences Understand the legal frameworks governing weapons and their transfer, and can craft policy that holds up across jurisdictions Can do rigorous technical analysis of weapons systems using only open sources Are comfortable with ambiguity and drawn to problems that have no established playbook Are motivated by preventing misuse without obstructing the legitimate work in the field Preferred qualifications A working understanding of machine learning and large language model fundamentals Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and autonomy, guidance/navigation/control, sensors and signal processing, aerospace or mechanical engineering, materials and energetics, or embedded software Hands-on experience applying arms export controls (ITAR/EAR) or international arms-control regimes Experience building or evaluating classifiers, including LLM-based ones, and reasoning about precision and recall for rare, high-consequence categories Trust & safety or product policy experience at a technology platform The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Channel Partner Manager for Korea, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Korean market. You will work at the intersection of cutting-edge technology and Korea's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies. As a Channel Partner Manager, you will focus on growing the partner Anthropic reseller and services business in Korea and achieving quarterly revenue and partner attach targets through new customers and upsells. You'll be the local owner of these partner relationships in Korea. Our partners will look to you for everything that makes the channel work day to day from initial onboarding to deal registration, enablement, billing and contracting questions, escalations. Our internal teams will look to you for what is happening in the market, how partners are driving new opportunities and growth within existing customers. You'll work closely with the local sales team and the central program team, co-selling on partner-sourced and partner-influenced opportunities and managing direct versus partner conflict as deals arise. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. Much of the process for running the channel in Korea doesn't exist yet, and building it will be a large part of the job in the first year. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth. This is an early role in a new market for a program we expect to grow well beyond its first two countries. The habits you establish with our first partners in Korea will shape how the program works everywhere else. Key responsibilities Own the day-to-day relationships with Anthropic's strategic resellers and system integrators in Korea, acting as their primary local point of contact, including billing, contracting and general queries Own deal registration and pipeline discipline with partners, making sure registrations are submitted and validated, conflicts are cleared, and named end-customer reporting is complete on every deal Forecast and report partner pipeline and performance against the quarterly revenue and partner attach targets, and own the Korea channel number with the central program team Negotiate resale agreements and commercial terms with partners alongside the central program team and Legal Co-sell with the local account team on partner-sourced and partner-influenced opportunities, and manage direct versus partner conflict as deals arise Develop and execute business plans with System Integrators and strategic resellers to drive mutual growth and revenue targets Build and maintain executive-level relationships within Korean partner organizations, navigating complex organizational structures and decision-making processes Support partner onboarding end to end, from diligence and agreement execution through readiness ahead of launch, including for partners who join the program after launch Coordinate partner certification and enablement with the central enablement lead, including Korean-language delivery and ongoing recertification Manage Anthropic's counterpart relationships with the cloud hyperscalers AWS, Google Cloud and Microsoft Azure in Korea, including the Marketplace private offer motion that reseller deals run through Work with the central program team on program governance, margin mechanics, and escalations, and build the local processes and working rhythms the channel needs where none exist yet, feeding what you learn from partners back to the program team Run regular business reviews and QBRs with each partner against the joint plan Own partner co-marketing in Korea, agreeing a joint marketing plan with each partner and Channel Marketing, funding it through MDF where it qualifies, and delivering the announcements, campaigns, webinars and events that turn the partnership into pipeline Minimum qualifications Experience managing channel or reseller partner relationships in enterprise software or cloud Experience working with large Korean systems integrators or cloud managed service providers, and an understanding of how partner-led selling works in Korean enterprise, public sector, and financial services accounts Working knowledge of channel program mechanics such as deal registration and partner tiering Full professional fluency in Korean and professional working proficiency in English, written and spoken, including the ability to deliver enablement to partners in Korean Comfort joining a new program early: hands-on, structured, and able to build process where none exists yet Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience with cloud marketplace resale, particularly AWS Marketplace private offers, or with AWS partner teams more generally Familiarity with margin and rebate mechanics in a partner program Experience bringing existing, informal partner activity into a structured program, or joining a partner program at or before launch Experience on the systems integrator or managed service provider side of a vendor relationship, as well as the vendor side Familiarity with how enterprises and public sector organizations in Korea are evaluating and adopting AI Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - USA Own the white space. Step into critical ownership gaps. Build what the company needs next. Clover is entering a period of meaningful build. As the company pushes forward on a set of important strategic priorities, we need leaders who can help translate vision into operating reality. Some of this work will involve standing up new capabilities. Some will involve shaping and accelerating critical initiatives that cut across functions. All of it will require leaders who can bring structure, judgment, and momentum to areas that matter disproportionately to Clover’s future. We’re hiring a senior operator into Innovation & Delivery to help bring the CEO’s vision to life in some of the company’s most important areas of development. This is a high-leverage operating role for someone who can step into emerging priorities, build the right operating model, align leaders around clear decisions, and help turn new ideas into durable parts of the business. This role is designed for builders and systems thinkers: people who are energized by creating clarity, shaping how work gets done, and helping a company develop new muscles at moments that matter. As a Senior Director, Innovation & Delivery , you will: Step into Critical Ownership Gaps: Serve as the interim business-side leader for a major initiative or strategic domain where ownership is missing, fragmented, or still emerging. Build the Operating Model: Create the structure, decision cadence, working model, and accountability mechanisms required to make the work durable. Harness AI & Emerging Technology: Identify, architect, and deploy AI-powered tools and approaches to accelerate execution and unlock solutions to some of the hardest, most intractable problems in healthcare — from care gap closure to operational efficiency to member outcomes. Drive Business Outcomes, Not Just Activity: Own the work through measurable progress and concrete results — not just coordination, reporting, or process management. Stabilize and Scale Underbuilt Areas: Bring order, momentum, and clarity to important domains that need to be built, stabilized, or materially reshaped. Lead Through Ambiguity: When the path is unclear, define it. When ownership is diffuse, consolidate it. When a function or initiative is stuck, unblock it. Prepare the Long-Term Handoff: Help transition the work to a durable long-term owner, team, or org structure once the model is working. Success in this role looks like: First 90 days: Build a sharp understanding of Clover’s business model, operating context, and leadership dynamics; take ownership of a critical initiative or domain; clarify scope, decisions, and near-term priorities. First 6 months: Create visible traction in a high-priority area by stabilizing execution, improving decision quality, and building the core operating model needed to move the work forward. First year: Deliver meaningful business outcomes, establish a stronger and more durable ownership model, and leave behind a function, initiative, or system that is materially stronger than you found it. You should get in touch if: You’ve built your career in elite, high-judgment environments — for example 10+ years in investing, consulting, business operations, strategy, startup leadership, or other highly selective operator tracks. You have the pattern recognition to quickly diagnose messy business problems and the range to move from strategy to operating detail without losing altitude. You are not looking to run an IT transformation office, manage a PMO, or operate as a process administrator. You are a builder : you like creating structure where none exists, designing operating systems that hold up in the real world, and turning ambiguity into durable execution. You are a systems thinker: you naturally see how incentives, decisions, interfaces, and organizational design interact — and you know how to reshape them. You’ve taken on ambiguous, high-stakes work with incomplete information and still driven it to a real outcome. You are credible with senior executives and can work effectively with leaders across the company, including the CEO, Chairman, and OpCo. You are comfortable stepping into roles that are intense, temporary, and highly leveraged — where the expectation is to build, stabilize, and transition, not simply to advise. You care more about solving consequential business problems than about protecting a narrow functional lane. Benefits Overview : Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks : Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover : We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $200,000 — $250,000 USD

Location: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Detection & Response (D&R) team protects our systems, users, and data from security threats. We're looking for a Technical Program Manager to own and grow incident management within D&R. This is a senior specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents. You'll own our incident response lifecycle, from detection and triage through containment, remediation, and post-incident review. Some of the highest-impact work happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working across engineering, security, infrastructure, and product teams so that broad fixes and systemic improvements actually get implemented. Beyond managing incidents, you'll make sure the organization learns from them and gets better each time. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | 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 The Detection & Response (D&R) team plays a critical role in protecting our systems, users, and data from security threats. We’re looking for an experienced Technical Program Manager to own and evolve incident management within D&R. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents. You’ll be the driving force behind maturing and scaling our incident response lifecycle—from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You won’t just manage incidents—you’ll make sure we get meaningfully better after each one. Responsibilities Own the end-to-end D&R incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking. Serve as incident commander for security incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders. Establish and run incident commander rotations within D&R, ensuring clear ownership and effective coordination during incidents of varying severity. Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams—ensuring follow-through on both tactical fixes and strategic improvements. Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable. Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms. Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization. Develop and maintain D&R incident response documentation, playbooks, runbooks, and training materials; keep them current as the threat landscape and our systems evolve. Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for security events. Define, develop, and track incident management KPIs and report regularly to D&R and Security leadership. Support broad cross-functional training and initiatives to uplevel security awareness across the company (e.g. Tabletop exercises, training, talks). You may be a good fit if you: Have 7+ years of experience in technical program management, incident management, or security operations, with significant time spent in a detection & response or security incident response context. Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment. Have a demonstrated track record of turning incident data into organizational improvements—not just writing post-mortems, but driving the cross-functional work to implement systemic fixes. Are comfortable participating in on-call responsibilities and leading incident response during high-severity security events, including off-hours. Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist. Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop. Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization. Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations. Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership. Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 building and securing data center capacity at an unprecedented pace, and the power and cooling equipment that goes into those sites — switchgear, UPS, generators, transformers, busway, chillers, CDUs, air handlers, pumps and piping skids — is long-lead, high-value, and unforgiving of defects. A single nonconformance discovered at site can cost weeks of schedule. We're hiring a Manufacturing Quality Engineer to own quality at the source: inside our OEMs' and integrators' factories. You will qualify suppliers, define acceptance criteria, witness factory acceptance tests, drive corrective action to closure, and make sure equipment leaves the factory complete, conforming, documented, and ready to install. You are the person who catches the problem in Ohio before it becomes a problem in Texas. This is a hands-on individual-contributor role on the Compute DC Infrastructure team, partnering daily with Electrical and Mechanical Engineering, Strategic Sourcing, Construction, and Commissioning. It is not a supplier-relationship-management role and not a people-management role — the emphasis is technical quality engineering at manufacturing facilities. What You'll Do Supplier qualification and readiness Lead quality qualification of new and existing suppliers of power and cooling equipment, including on-site process audits, capability assessments, and manufacturing readiness reviews (MRRs) ahead of production release. Translate Anthropic engineering specifications into supplier-facing quality requirements: inspection and test plans (ITPs), acceptance criteria, witness/hold points, and documentation deliverables. Partner with Strategic Sourcing to embed quality requirements, Supplier Quality Agreements, and FAT/documentation expectations into RFPs and contracts. Factory acceptance and in-process quality Plan, witness, and sign off factory acceptance tests (FATs) for electrical gear (switchgear, UPS, transformers, gensets, busway, PDUs) and mechanical systems (chillers, CDUs, CRAH/fan walls, dry coolers, pumps, piping skids), including functional, performance, and integrated-system testing. Conduct in-process and pre-shipment inspections at supplier facilities; verify build-to-print conformance, workmanship, labeling, and traceability. Review and approve supplier test reports, quality data packages, and turnover documentation; ensure equipment ships complete and installation-ready. Nonconformance and corrective action Own the nonconformance (NCR) and deviation process for factory-found issues; lead containment, disposition, and root-cause analysis using 8D, 5-Why, FMEA, and fault-tree methods. Drive supplier corrective and preventive actions (CAPA) to verified closure with measurable, sustained improvement. Investigate field-reported defects that trace back to manufacturing, and feed lessons learned into supplier requirements, ITPs, and future RFPs. Metrics and continuous improvement Define and track supplier quality KPIs — first-pass FAT yield, defect rate, NCR aging, on-time documentation, supplier scorecards — and report them in quarterly supplier business reviews. Apply SPC and statistical analysis to supplier process data to identify systemic risk before it reaches a FAT. Help build the quality framework for a rapidly scaling, multi-supplier, multi-region equipment pipeline — templates, checklists, audit standards, and the operating rhythm around them. Who You Are 6–10+ years of quality engineering, manufacturing quality, or supplier quality experience in electrical or mechanical equipment manufacturing, mission-critical infrastructure, or a comparable regulated/high-consequence industry. Hands-on experience with at least one side of the data center equipment stack — medium/low-voltage switchgear, UPS, generators, transformers, busway, or chillers, CDUs, air handlers, pumps — and the curiosity to come up to speed fast on the other. Proven record planning and witnessing FATs and conducting supplier audits, with the judgment to know when to hold a shipment and when to accept with deviation. Deep fluency in structured problem-solving and quality tools: 8D, RCA, FMEA, SPC, control plans, PPAP or equivalent. Able to read electrical one-lines, P&IDs, and mechanical drawings and check a build against them. Strong technical writing — you produce ITPs, audit reports, and NCR packages that stand on their own. Comfortable operating with high autonomy and ambiguity, and communicating clearly to engineers, suppliers, and leadership. Bachelor's degree in Electrical, Mechanical, Manufacturing, or Industrial Engineering, or equivalent experience. Nice to Have Experience with hyperscale or AI data center equipment supply chains, or with OFCI (owner-furnished, contractor-installed) delivery models. Familiarity with liquid-cooling systems (CDUs, manifolds, quick disconnects) and the cleanliness, pressure, and leak-test regimes they require. Working knowledge of relevant standards: UL 891/1558/1778, IEEE C37, NEMA, AHRI 550/590, ASHRAE 90.4, ASME B31.x, ISO 9001 auditing. ASQ CQE/CQA, Six Sigma Green/Black Belt, or lead-auditor certification. Experience standing up a supplier quality function or QMS from a small base. Proficiency with QMS/ERP platforms and data tools (SQL, Power BI, or similar). Logistics Location: [San Francisco / hybrid — or remote US with hub access?] Travel: [40–60%] to supplier and integrator factories across the US and [internationally], with occasional visits to active construction 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | 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 is hiring a Tax Director to own the company's global income tax provision and US income tax compliance function. This is a core operational leadership role: you will run the quarterly and annual ASC 740 close, manage the co-sourced compliance program, and build the processes, controls, and team that keep both scaling with the company. What makes this seat unusual is what flows through it. Anthropic is deploying capital into compute and data center infrastructure at a scale and pace with few precedents, alongside an active program of acquisitions, joint ventures, and strategic investments — and every one of those transactions lands in the provision and the returns. We prefer candidates who bring familiarity and hands-on experience with complex M&A and infrastructure transactions on top of the core provision and compliance skill set: someone who can own the tax purchase price allocation workpapers, write the technical memo on a novel financing or lease structure, and then carry that answer correctly through the ASC 740 close and into the compliance workstream. Key responsibilities Own the quarterly and annual worldwide income tax provision: current and deferred computations, effective tax rate reconciliation, deferred tax inventory and valuation allowance assessments, stock-based compensation, uncertain tax positions, and return-to-provision true-ups Own the tax journal entries, account reconciliations, income tax footnote and disclosures, and the supporting workpapers and SOX controls; manage the financial statement audit relationship with our Big 4 auditors Coordinate the international components of the provision with the team and outside advisors, and drive continuous improvement in close speed and quality Manage the US federal and state income tax compliance program, working with our co-sourced Big 4 providers: returns, estimated payments and extensions, elections and disclosures, and the compliance calendar Own cash tax forecasting and support tax authority notices, examinations, and audit defense Drive automation and tax technology adoption across the provision and compliance processes, including AI tooling Own tax purchase price allocation workpapers for acquisitions: taxable vs. nontaxable characterization, ASC 805 opening balance sheet deferred taxes, goodwill component analysis, and reconciliation to the tax basis balance sheet — plus tax diligence, structuring, and integration (reorganization qualification, equity compensation in deals, Section 382, transaction costs, stub period returns) Analyze data center and compute infrastructure arrangements — lease classification, sale-leasebacks, Section 467 rent schedules, build-out cost recovery — and the financing structures around them: debt vs. equity characterization, prepayments, vendor financing, warrants and equity instruments in commercial agreements, and joint venture formations and buyouts Prepare and review technical memos documenting positions for auditors and leadership, and model the cash tax and effective tax rate consequences of proposed structures for Corp Dev, Finance, and Legal while deals are being negotiated Mentor and develop tax team members and help build the function as the company grows Manage outside advisors on opinions, studies, and valuations, and own those budgets and relationships Minimum qualifications Have substantial experience managing a corporate tax function in the multinational software and technology industry, including hands-on experience running the income tax provision and compliance processes, with a combination of Big 4 public accounting and in-house tax department experience Have owned the full ASC 740 provision cycle at a multinational company — not just reviewed pieces of it — including deferred taxes, valuation allowance judgments, uncertain tax positions, footnote and disclosures, SOX controls, and auditor management Have managed a US federal and state income tax compliance program at scale, including co-sourced arrangements with Big 4 providers Bring familiarity and hands-on experience with complex M&A transactions — tax purchase price allocations, ASC 805 opening balance sheet accounting, diligence and structuring — and ideally experience with infrastructure leases, build-outs, and the financing arrangements behind them Write clear, well-organized technical memos that hold up with Big 4 auditors, and can explain the same issue in plain terms to non-tax partners Hold a CPA; a Master's in Taxation or LLM is a plus Thrive on novel fact patterns and ambiguity, and default to building the workpaper and writing the position down rather than waiting for a template Preferred qualifications Familiarity and experience with data center or similar capital-intensive infrastructure transactions — hyperscaler-scale compute, energy, or telecom deals, project finance, or joint venture structures Experience analyzing warrants, convertible instruments, or other equity components embedded in commercial and supply agreements, and debt-equity analysis for intercompany and third-party financing An interest in applying AI tools to tax workflows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 The Auth & Identity team builds the authentication, authorization, and identity platform that underpins every Anthropic product: the API, Claude Code, Claude.ai, and our Enterprise offerings. Every login, API key, OAuth token, access decision, and organization record flows through the systems we own. As Claude moves from a chat product to an agentic platform, we are defining what identity and access look like when the actor is a human, a service account, or an autonomous agent acting on someone's behalf. We are a platform team with a product surface. The horizontal is the set of services every product consumes: credential minting and exchange, authorization controls, and the canonical record of users, service accounts, agents, and the organizations they belong to. The vertical is the experience where admins author that policy: SSO and SCIM setup, roles and permissions, IP allowlisting, and API key policies. Our work falls into four pillars: Authentication – Who you are. Credential minting, exchange, and lifecycle; sessions; workload identity federation; auth for async and agentic workloads. Authorization – What you can do. The policy framework for model, membership, role, and resource access. Identity – Who belongs to what. The tenant and organization model, and first-class identity for humans, service accounts, and agents, portable across surfaces and cloud environments. Enterprise – How enterprises connect. SSO, SCIM, login policies, and the admin controls that let customers provision and govern users from their own identity provider. What you'll do You will own critical, high-traffic systems end to end, from design through rollout, operations, and iteration, and help shape the technical strategy for how identity and access work across Anthropic. Representative problems we are working on right now: Designing credentials for agents and long-running autonomous workloads. Routing every access decision through a unified authorization system, with low latency, security guarantees, and multi-region resilience. Building a first-class identity model for service accounts and agents, and linking those identities to other identity and auth systems. Global distribution and multi-region failover for some of the company’s most mission-critical services. Deepening enterprise integration: login policies and recovery methods, self-service allowlisting, and tighter integrations with providers. You will work closely with product, security, infrastructure, and the product teams that consume our primitives, and you will be expected to set technical direction, not just execute on it. Many of the problems are 0-to-1 with no established pattern to copy; others are careful migrations of systems that every Anthropic customer depends on in the hot path. You might be a good fit if you: Have 8+ years of experience building and operating backend or platform systems at scale, ideally including identity, authentication, authorization, or security-adjacent infrastructure. Have worked with some of: OAuth 2.0 and OIDC, SAML, SCIM, JWTs and token exchange, workload identity federation, policy engines such as Cedar or OPA, or RBAC and resource-level access control models. Care deeply about reliability and security. You design for on-call, failure modes, revocation, and the engineer who inherits your system, and you treat availability of auth as table stakes for every product built on it. Are comfortable owning large migrations in live, high-traffic systems: shadow modes, incremental rollouts, and clean retirement of legacy paths. Take a product-focused approach to platform work and build primitives that are easy for other engineers to adopt correctly, with documentation and self-service as part of the deliverable. Can navigate ambiguity and make sound technical decisions independently, and communicate clearly with cross-functional partners and stakeholders. Are familiar with using AI tools as part of your software development workflow. Strong candidates may also have Experience with globally distributed databases and multi-region service architecture. Experience working in Go, Python, Rust, or TypeScript across a rapidly changing codebase. Prior work on enterprise identity integrations with major identity providers and cloud IAM systems. Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As manager of the Healthcare and Life Sciences Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. We work with customers that include companies across payers, providers, life sciences, medtech, and other healthcare verticals. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude Code, Cowork, Claude Science, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. Set goals for your team that establish baseline expectations for performance in collaboration with sales and other cross-functional teams. Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or top use case scoping and deployment. Partner closely with sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI trends and the evolving ecosystem. You may be a good fit if you : 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. 3+ years of technical pre-sales management experience. Have sold complex technical products to Healthcare and Life Sciences companies. Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts. Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have : Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. Deep HCLS GTM Experience : Demonstrated success adapting technical approaches to customers in payers, providers, life sciences, medtech, or other healthcare verticals. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | 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 Corporate Security protects the environment Anthropic's people work in every day: their laptops and phones, their identities, the tools they collaborate in and the company data that flows through all of it. Everything that makes Claude what it is sits behind that environment. We keep company access on devices we manage, make those devices hard to compromise and right-size what any one of them can reach, while caring a great deal about the day-to-day experience of the people using them. The company is growing quickly and this team is growing with it, so we treat the work as an engineering discipline: controls as code and automation over queues, built to scale with headcount rather than strain against it. As a Security Engineer here you'll drive significant parts of that work end to end. You'll set technical direction and turn it into shipped tooling. When a control collides with someone's workflow, you'll find the path that keeps them moving without giving up the protection. You'll be handed problems rather than task lists and you'll find as many yourself: threat-modeling the environment to surface what matters, fixing it and bringing the evidence that shapes what the team prioritizes next. This is a senior, hands-on individual contributor role. Key responsibilities Drive endpoint hardening across macOS, Windows, Linux, and ChromeOS, including device management configuration, application allowlisting, patching, and browser policy, favoring controls that are versioned, reviewable, and repeatable over one-off configuration Extend device-trust and zero-trust access controls so company systems are reached from managed devices bound to the right person and carrying the right level of access, treating the experience of fellow employees as a design constraint rather than an afterthought Build the automation and integrations that let the team scale with the company: joiner/mover/leaver automation across identity and device management, exception and expiry workflows, posture-driven policy, and Claude-assisted triage of review queues Lead SaaS and identity governance, including third-party OAuth grants, delegated admin access, chat-platform apps, browser extensions, and software security reviews, turning recurring decisions into policy and tooling Partner across the wider Security team, IT, and Engineering on telemetry, detections, and shared standards, and help define how a company that increasingly runs on AI agents does so securely and at scale Minimum qualifications Hands-on endpoint security engineering on macOS, Windows, Linux, or ChromeOS, such as MDM and declarative device management profile engineering, application allowlisting or binary authorization, system extensions and endpoint security frameworks, or their platform equivalents Proficiency in Python and scripting languages generally; you architect and build integrations, automation, and internal tooling as a normal part of the job, and can write a detection when the work calls for it Working depth in identity and access management, SaaS security, and zero-trust access Threat-modeling judgment that finds the problems worth solving and the ability to scope them, define "done," and drive them to completion Care for Anthropic's mission and the part corporate security plays in it Preferred qualifications Experience defining the scope and choosing the tooling for a security program rather than inheriting it Experience shipping an enforcement change to a large user population: using data to find what will break before it does, staging the rollout, building the alternative path for affected workflows, and moving people onto it ahead of enforcement Endpoint depth across more than one of macOS, Windows, Linux, and ChromeOS, with the judgment to harden for the threats that matter rather than to a checklist Mobile security across managed and BYOD contexts, including protecting people and devices in higher-risk settings such as international travel Experience bringing security governance to a modern SaaS environment, including third-party integrations, delegated access, and the long tail of internally built and AI-generated apps, in a way that speeds decisions up rather than slowing them down Configuration-as-code, infrastructure-as-code, and CI/CD applied to corporate infrastructure LLM-assisted security tooling you built that materially changed what a team could cover, and the judgment to know which work to hand to a model, which to keep, and how to combine the two A track record of getting security controls adopted across an organization through influence and partnership rather than authority Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced enablement professional to build our Sales Leader Enablement program. As a key member of the GTM Productivity team, you will be responsible for designing the onboarding, training, and reinforcement programs that ensure our sales managers ramp quickly, lead their teams effectively, and drive consistent sales process across a rapidly growing global sales organization. You will define what great sales leadership looks like at Anthropic and build the infrastructure to develop it at scale. You will work at the intersection of sales leadership, product, operations, and our field teams to translate complex AI concepts, sales processes, and systems into clear programs. This is a ground floor opportunity to architect a sales leader enablement function from scratch. The right person will combine deep sales methodology and coaching expertise with credibility in front of executives, program building instincts, and a bias toward measurable outcomes. Key responsibilities Design and build a scalable onboarding and ongoing development program for sales leadership Roll out and reinforce a unified sales methodology across the global sales team, securing executive sponsorship and defining what is expected of each leadership level to drive adoption Build the reinforcement system that embeds methodology and process into manager coaching cadences, deal reviews, pipeline inspection, and forecasting Define and measure leading indicators of manager and team effectiveness Partner with Product, Marketing, Operations, and other teams to ensure managers receive timely, well-tailored messaging, content, and training on new releases and evolving use cases Serve as a trusted advisor to sales leadership on team productivity, coaching effectiveness, and leadership development Leverage Claude and advanced technologies to deliver personalized, just-in-time training and scale the program beyond in-person engagement Minimum qualifications Direct experience rolling out and reinforcing a sales methodology across a distributed sales team, including training managers to coach to it Program management experience, including building enablement programs from the ground up in a fast-growing, ambiguous environment Strong presentation and facilitation skills, with experience delivering training or coaching in front of both managers and executives Preferred qualifications 8+ years of experience in sales enablement, sales leadership development, sales management, or a related customer-facing role within AI/ML or enterprise technology organizations A track record of earning buy-in from senior sales leaders and frontline managers, and driving stakeholder alignment with executive audiences Strong analytical skills with a data-driven approach to measuring ramp, productivity, and program effectiveness Empathy for sellers and sales leaders, with an understanding of the demands of the role and a partnership-oriented approach to conflict and disagreement A proactive, resourceful approach, combining strategic vision with a willingness to build and execute hands-on Prior frontline sales management experience Experience at an AI company or high-growth technology organization that has scaled a sales leadership team Experience using or building applications on top of Claude or similar AI tools to automate and personalize training The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $310,000 — $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Public Sector Account Executive to drive the adoption of safe, frontier AI across governments in Southeast Asia, establishing and growing Anthropic's presence in this strategic region. Based in Singapore, you'll leverage your consultative sales expertise and deep understanding of public sector landscapes across ASEAN markets to grow revenue while becoming a trusted partner to government customers, helping them embed and deploy AI and uncover its full range of capabilities. Working with ministries, statutory boards, and agencies across the region, you'll navigate diverse procurement, security, and compliance environments to build long-term strategic partnerships. In collaboration with GTM, product, policy, and marketing teams, you'll help define our market entry strategy and value proposition for public sector customers across ASEAN. Key responsibilities Lead Anthropic's market entry and expansion across ASEAN public sector markets, building relationships with key stakeholders across ministries, statutory boards, and government agencies in Singapore and throughout the region Own the full sales cycle for public sector opportunities across ASEAN, from initial outreach through to successful deployment, with a focus on building long-term strategic partnerships Navigate the procurement requirements, security standards, and compliance frameworks specific to government technology adoption in each market—including GeBIZ procurement and IM8 security requirements in Singapore—and prioritise markets based on opportunity and readiness Collaborate with policy teams to ensure alignment with national AI strategies and digital government initiatives across the region, such as Singapore's National AI Strategy and Smart Nation programme and the ASEAN Guide on AI Governance and Ethics Design and execute sales strategies tailored to each public sector environment, meeting and exceeding revenue targets while maintaining strong relationships with procurement teams and decision-makers Provide market intelligence and feedback to product teams to ensure our offerings meet regional public sector requirements, including data sovereignty, data residency, and localisation considerations that vary by country Build and maintain relationships with systems integrators, in-country partners, and technology partners across ASEAN markets Develop and document best practices for public sector engagement in each market, creating playbooks that scale our presence across the region Serve as a leader within the broader public sector team, sharing insights and collaborating on cross-market opportunities Minimum qualifications 12+ years of enterprise sales experience in public sector markets across ASEAN, with a proven track record of driving adoption of emerging technologies Deep understanding of government procurement processes, security requirements, and technology adoption frameworks in Singapore (including GeBIZ and IM8), and familiarity with equivalent frameworks in other ASEAN markets Strong track record of managing complex sales cycles and securing strategic deals in the public sector Experience navigating multiple stakeholders across ministries and agencies in culturally diverse markets, building consensus and providing innovative solutions Experience working with in-country partners and channel ecosystems to reach markets where direct presence is limited Excellent communication skills and the ability to present confidently to all levels, from technical teams to senior government officials Eligibility to handle classified government information as required Ability to work independently while maintaining strong collaboration with global teams, with willingness to travel regularly across the region Bachelor's degree in a related field or equivalent experience Preferred qualifications Experience working with agencies such as GovTech, and familiarity with national digital transformation initiatives across the region Demonstrated ability to build and grow new market segments across multiple countries, with potential to develop into a leadership role Strategic thinking combined with hands-on execution capabilities Proficiency in a regional language beyond English A passion for safe and ethical AI development, with the ability to articulate its importance in the public sector context Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive to join the foundational team introducing Anthropic's frontier AI to large enterprises across Southeast Asia. Based in Singapore, you will drive adoption of safe, frontier AI by securing strategic deals with major corporations across industries including financial services, healthcare, technology, manufacturing, and telecommunications throughout the ASEAN region. You'll leverage your consultative enterprise sales expertise to grow revenue while becoming a trusted partner to C-suite and senior technical stakeholders, helping them embed Claude across business operations, research, and administration. As Anthropic's senior in-market commercial presence for ASEAN, you'll shape our regional go-to-market strategy and lay the groundwork for a dedicated Southeast Asia footprint. Key responsibilities Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across ASEAN countries. Serve as senior regional coverage for Anthropic's most strategic ASEAN enterprise accounts, building executive relationship depth and commercial momentum through consistent in-market engagement Build and execute territory plans that identify high-value opportunities across key ASEAN industries, accounting for differences in market maturity, regulatory environment, and buying behaviour between countries Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver Orchestrate internal teams—Product, Engineering, Applied AI, Partnerships—to deliver tailored solutions for complex enterprise requirements Translate technical AI capabilities into compelling business value propositions suited to the needs of Southeast Asian enterprises Identify new use cases and contribute to ASEAN go-to-market strategy, providing feedback that shapes product roadmap and regional approach Represent Anthropic across Southeast Asia, building executive relationships with enterprise, partner, and government stakeholders and raising Anthropic's profile within the regional technology community Minimum qualifications 12+ years in enterprise sales, GTM, business development, or account management with direct, in-market Southeast Asia operating experience A track record of managing complex, multi-stakeholder sales cycles and securing strategic deals in ASEAN markets by translating multifaceted technical requirements into tailored solutions Existing commercial network across enterprise and partner communities in Singapore and at least one or two additional ASEAN markets Strong commercial instincts, with the ability to identify, prioritise, and advance high-value opportunities without heavy oversight Comfort operating as a generalist regional presence—equally effective in an enterprise sales conversation, a partnership discussion, or a government stakeholder introduction Excellent communication and presentation skills, with cultural fluency across ASEAN business environments Based in, or willing to relocate to, Singapore, with eligibility to work in Singapore and the ability to travel frequently across Southeast Asia Bachelor's degree in a related field or equivalent experience Preferred qualifications Experience selling AI/ML, cloud, data platforms, or enterprise SaaS to regulated industries such as financial services or healthcare Experience working with hyperscaler or channel partners to co-sell into regional enterprise accounts Prior experience establishing or scaling a new market or region for a high-growth technology company Working proficiency in a Southeast Asian language in addition to English (e.g. Bahasa Indonesia, Thai, Vietnamese) Familiarity with regional data residency, AI governance, and procurement frameworks relevant to enterprise buyers A passion for and/or experience with advanced AI systems, and a strong interest in ensuring frontier AI is developed safely Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Recruiting Operations Manager on the Talent Acquisition team, you will help run the systems, data and processes that let us hire +100 people per month. You will work alongside Talent Acquisition, People Ops, Legal, Finance, and every department that hires. Your job is to make recruiting more effective as we scale: more great hires per unit of effort, without adding unnecessary complexity or sacrificing quality. This role is ideal for someone who thrives at the intersection of process, technology, and people: someone who loves solving operational challenges and driving continuous improvement. WHAT YOU WILL DO - Recruiting infrastructure & operating model: optimize our ATS, broader recruiting stack, workflows and processes end to end; keep the system clean, connected and scalable. - Metrics & performance: build the metrics and reporting that leadership and Ops teams need to make decisions, and turn insights into concrete improvements in speed, quality and efficiency. - Headcount planning & recruiting capacity: partner with Finance and business leaders to align workforce plans with business priorities and ensure recruiting capacity stays aligned as priorities evolve. - Enable recruiters & hiring managers: build practical enablement around tools, sourcing, workflows, interviewing, hiring principles and calibration so teams can operate more effectively. - Candidate experience & recruiting standards: establish a consistent, high-quality candidate experience across the recruiting process, and continuously identify opportunities to improve it - Innovation & leverage: use AI, talent intelligence, market data and emerging technologies to augment how we identify, engage and assess talent, creating new sources of leverage as we scale WHAT WE'RE LOOKING FOR - 5+ years in operations, including 2+ years in recruiting, People or HR Operations, ideally in a company that has scaled headcount quickly and navigated significant organizational complexity. - Strong systems thinking and attention to detail: you naturally connect the dots, spot inconsistencies and care about getting the underlying system right, not just fixing the symptom. - Pragmatic and highly organized: you focus on what will have the biggest impact, can manage multiple complex projects without losing focus, and bring the structure and follow-through needed to get things to the finish line. - Curious and hands-on: you have an appetite to vibe-code your way through automation, experiment with AI and new tools, and are comfortable building lightweight solutions yourself. - High-agency and positive: you operate independently, turn complex problems into solutions rather than simply raising them, and bring a constructive, can-do mindset to the work. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.