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Manager of Applied AI Architecture, Partnerships
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Manager of the Partnerships Applied AI Solutions Architect team, you will drive adoption of frontier AI by enabling deployment of Anthropic’s products (Claude for Enterprise, Claude Code, API) through our Global and Regional System Integrators, cloud partners (AWS, GCP, Azure), and strategic technology partners. You will build and lead a team of Partner Solutions Architects, establish processes and best practices for partner-led pre-sales engagements, and represent Anthropic as the technical lead on its most important partnerships. In collaboration with Sales, Partnerships, Product, and Engineering, you will help partners incorporate leading-edge AI into their practices, accelerate indirect revenue, and execute long-term GTM strategy while maintaining our best-in-class safety standards. Responsibilities - Team Leadership & Development: Hire, manage, and mentor a team of Partner Solutions Architects. Set goals, run reviews, and coach each team member toward high productivity and career growth. - Strategic Technical Partnership: Act as the senior technical thought partner to Anthropic’s GTM partnerships team. Co-build partner strategy with aligned GTM leadership, drive key programs, and align cross-functional stakeholders (Sales, Product, Engineering) behind partner outcomes. - Partner Enablement & Ecosystem: Embed your team with GSI and cloud partner technical teams to enable their AI practices, troubleshoot, and evangelize Anthropic in their developer communities. Represent Anthropic at partner events (GSI workshops, AWS/GCP summits, hackathons) and contribute technical content and thought leadership. - Joint Solution Development: Lead partners in identifying high-value, industry-specific GenAI applications. Develop joint solutions and codify reference architectures and best practices to accelerate time to deployment. - Customer Deal Support: Own the technical portion of partner-led pre-sales engagements. Intervene directly on strategic deals where partners are the primary delivery vehicle, providing deep solution architecture guidance. - Product Feedback: Gather and validate feedback on Anthropic’s products from partner deployments and deliver it to Product and Engineering to inform roadmap and partner strategy. You may be a good fit if you have - 7+ years in technical customer-facing or partner-facing roles (Solutions Architect, Sales Engineer, Partner SE, TAM). - 3+ years managing pre-sales or partner-facing technical teams; comfortable building foundational teams in ambiguous, fast-moving environments. - Track record building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, TCS, Infosys) and/or cloud providers (AWS, GCP, Azure). - Deep understanding of partner-led selling and delivery: indirect revenue models, enablement at scale, and joint GTM motions. - Technical depth in enterprise AI deployments: LLM architecture, prompt engineering, evaluation, API integrations, and production use cases. - Exceptional communication and executive presence; able to build trusted relationships with C-suite, partner leadership, and engineering teams alike. - A love of teaching and mentoring, and a passion for advancing safe, beneficial AI. Strong candidates may also have - 5+ years leading partner-facing SA teams through hypergrowth, including developing both senior and junior talent. - Direct experience helping GSIs or consultancies build their AI/ML practice - enablement programs, certification paths, joint solution 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: $315,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager of Applied AI Architecture, Enterprise Tec...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As the manager of the Applied AI Architect, Enterprise Tech (Cyber) team at Anthropic, you will drive the adoption of frontier AI across the cybersecurity industry — enabling leading security companies to build Claude into their detection, response, and security operations products via Anthropic's API, Claude Code, and Claude for Enterprise. You'll leverage your technical skills and consultative sales experience to help security vendors ship AI-powered capabilities that meet the industry's exacting standards for reliability, accuracy, and safety. You'll be responsible for leading & growing the Applied AI Architect, Enterprise Tech (Cyber) team, establish processes and best practices for your segment's pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships. In collaboration with the Sales, Product, and Engineering teams, you'll help enterprise tech partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities: - Manage and mentor a team of Applied AI Architects, Enterprise Tech (Cyber) providing both technical guidance and career development - Set goals and reviews for your team, promoting growth and output - Work with a handful of highest-value Enterprise Tech customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution - Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Enterprise Tech (Cyber) customers - Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products - Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes - Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships - Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products - Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases - Contribute to thought leadership through conference presentations, webinars, and technical content creation - Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector 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 go-to-market management experience, specifically managing pre-sales teams - Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.) - Experience with the unique technical requirements and technical procurement process of enterprise tech companies - Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases - Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment - Have excellent communication, collaboration, and coaching abilities - Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry - 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 large language models and/or ML in general - Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems - Make ambiguous problems clear and identify core principles that can translate across scenarios - Have a passion for making powerful technology safe and societally beneficial - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks - Stay up-to-date and informed by taking an active interest in emerging research and industry trends - Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies Strong candidates may have: - Enterprise SA Leadership at Scale : 5+ years leading solution architect teams through hypergrowth (ideally 10→50+ people), with direct experience managing both senior SAs and developing junior talent in complex enterprise software environments - AI/ML Technical Depth + Executive Engagement : Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles - Multi-Segment GTM Experience : Demonstrated success adapting technical approaches across customer segments (startup to Fortune 500), with experience spanning the full deal spectrum from $2M employee empowerment through $100M+ core business transformation initiatives Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager of Applied AI Architecture, Enterprise Tec...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As the manager of the Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Enterprise Tech customers are some of the world's most sophisticated technology companies, deploying AI at the core of their products and operations.. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. 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 for Enterprise, Claude Code, and the 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 in collaboration with sales and other parts of the organization that establish baseline expectations for performance. - Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution. - Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer 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/ML trends and the competitive landscape. 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 deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. - 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 at leading enterprise technology companies. - 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. - Multi-Segment GTM Experience : Demonstrated success adapting technical approaches across customer segments (commercial to Fortune 100). The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager– Growth Sales (AI-Native)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Manager on the AI-Native GTM team at Anthropic, you'll lead a team of 5-10 Growth Account Executives responsible for driving expansion and retention across our fastest-growing AI-Native customers. You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI. In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world’s fastest growing AI native startups. Responsibilities: - Lead, coach, and develop a team of 5-10 Account Exexutives, providing regular feedback and guidance to drive both individual and team performance - Own team revenue targets, developing strategies to accelerate growth - Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring - Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio - Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts - Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications - Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics - Participate in strategic customer conversations and support Growth AEs in complex negotiations You may be a good fit if you have: - 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams - Proven track record of consistently exceeding team revenue targets and developing high-performing account executives - Strong understanding of the startup ecosystem and experience working with high-growth technology companies - Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment - Strong analytical and problem-solving skills with a data-driven approach to decision making - Excellence in cross-functional collaboration and stakeholder management - Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions - Demonstrated ability to coach and develop talent while maintaining high performance standards The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 - $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Enterprise Account Executive, Tech
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with top enterprises in the Tech space. You'll leverage your leadership and consultative sales expertise to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help customers embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing people, identifying market opportunities, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities - Build and lead a high-performing team of Enterprise Account Executives, providing coaching, mentorship, and guidance to drive team success - Develop and implement sales strategies to meet and exceed team revenue quotas - Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems - Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness - Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales - Enable your team to have credible technical conversations while maintaining appropriate guardrails - Build strong partnerships across the organization to drive strategic initiatives - Identify and execute on new market opportunities and use cases for Anthropic's AI solutions - Gather and synthesize customer feedback to inform product direction and enhance customer experience - Build and continuously refine the sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you - 7+ years of enterprise sales experience driving adoption of emerging technologies - 5+ years of sales leadership experience, ideally 3+ leading teams within the the Enterprise segment - Proven track record of building and leading high-performing sales teams, with demonstrated success in coaching and developing AEs - Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations - Strong technical acumen and ability to understand complex AI solutions, with experience enabling teams to have credible technical conversations - Track record of successful partnership with technical teams throughout the customer journey - Demonstrated ability to navigate dynamic stakeholder ecosystems and drive cross-functional initiatives - Experience managing complex enterprise sales cycles and helping AEs secure strategic deals - Strong operational rigor in pipeline management, forecasting, and sales metrics - Excellent communication skills and ability to build relationships across all levels - Strategic approach to market analysis combined with tactical excellence in execution - Passion for AI technology and commitment to its safe, responsible 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: $380,000 - $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Commercial Counsel, GTM
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Manager, Commercial Counsel, GTM to help lead our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively to support deals that matter. In this role, you'll support our enterprise technology and startups Go-to-Market teams, handling enterprise agreements and customer negotiations, as well as team growth and scaling initiatives. This is an excellent opportunity for a seasoned attorney to help lead and grow the commercial legal team while contributing directly to responsible AI development. Responsibilities - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales agreements with enterprise technology customers and startups. - Partner closely with Sales and Go-to-Market leadership and teams to support deal velocity and provide practical legal guidance - Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements - Manage a team to support enterprise technology and startups segments - Identify and escalate legal risks appropriately while supporting business momentum - Stay current on legal developments affecting AI technologies Minimum qualifications - JD and active membership in at least one U.S. state bar - Experience drafting and negotiating commercial contracts, SaaS agreements, or technology transactions - Demonstrated people management experience, including hiring, developing, and leading attorneys or legal professionals - Clear written and verbal communication skills, including the ability to translate legal concepts for non-lawyer stakeholders Preferred qualifications - 8+ years of legal experience, with substantial time spent on commercial contracts, SaaS agreements, or technology transactions - Active membership in the California state bar - Experience leading legal teams through high-growth phases at technology companies - Experience navigating multi-stakeholder agreements involving technical and policy considerations - Curiosity about AI technology and AI policy, and a commitment to responsible AI development - A collaborative, low-ego approach to working with colleagues and external partners - A "doer" attitude—willingness to roll up your sleeves and pitch in where needed- - Comfort in fast-paced environments with shifting priorities, and a willingness to pitch in across what the team needs Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Applied AI Engineering, Beneficial Deploy...
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: Biology is the area where scientific progress has perhaps the greatest potential to directly and unambiguously improve human life — and we believe powerful AI could meaningfully accelerate the rate of biological discovery, helping compress decades of progress into years. With Claude for Life Sciences , we're building tools that accelerate the work of scientists and drug developers across the full lifecycle, from early discovery through clinical translation and regulatory review. As the Applied AI Engineering Manager for Life Sciences, you'll lead the team of engineers who turn that ambition into deployed reality inside the world's leading scientific organizations. Our Applied AI Engineers are the technical front line: they sit with customers, understand their scientific and regulatory workflows in depth, and build the prototypes, integrations, and agents that let Claude do meaningful work in the lab and the clinic. You'll grow and lead this team, own the technical success of our most strategic life sciences accounts, those ties to advancing our strategy and mission, and create the feedback loop that turns what we learn in the field into better products and models. This is more than wiring up a chatbot. As our own research has shown, the hard part of putting agents to work in biology is the infrastructure beneath them: messy databases, idiosyncratic file formats, scattered APIs, and metadata conventions where a single wrong or missing record can change a scientific conclusion. Your team builds the deterministic tools, connectors, and evaluations that make biological data reliably accessible to agents — and holds the work to a research-grade bar, where an answer has to be correct, reproducible, and auditable, not just plausible. This is a hands-on leadership role. You'll coach engineers and raise the bar on their work, stay close enough to the technology to review prototypes and contribute directly, and partner across go-to-market, product, and research. Because this work sits in a sensitive, dual-use domain, you'll also help set the standard for how we deploy responsibly — enabling legitimate science while taking safety seriously. In this role, you will: - Build and lead the team: hire, coach, and develop a team of Applied AI Engineers dedicated to strategic life sciences partners, setting a high technical bar and helping each engineer grow. - Own technical success with partners: be accountable for the technical outcomes of our strategic pharma and biotech deployments, from first scoping conversation through production. - Stay hands-on: review and contribute to prototypes, MCP integrations, agentic workflows, and Claude Code for Bio solutions; help the team get unblocked on the hardest technical problems. - Build agent-ready scientific infrastructure: guide the team in creating the deterministic tools, connectors/harnesses, and evaluations that make messy biological data and workflows reliably accessible to Claude — in partnership with scientists and research institutions. - Translate the field into the roadmap: partner cross functionally to turn what you learn from deployments into improvements in Anthropic's life sciences products and models. - Set the standard for responsible deployment: work alongside our safety teams to enable beneficial scientific work while guarding against misuse in a dual-use domain. - Build for the frontier : use deep knowledge of frontier model intelligence coupled to your work in R&D and research to rapidly progress toward solutions to meaningful problems in life sciences. You may be a good fit if you: - Have led or technically mentored software/ML engineers, ideally in a forward-deployed, solutions, or customer-facing engineering setting. - Have a background in pharma, biotech, computational biology, bioinformatics, or clinical/regulatory affairs. - Have a strong hands-on engineering background and are comfortable reading and writing production code, not just managing those who do. - Have delivered technical work directly with external customers or partners, and can communicate credibly with both technical experts and executives. - Have built on top of large language models or agents - Are energized by an unfamiliar technical domain and have a track record of going deep fast. - Hold a high bar for reliability and reproducibility, and understand why a plausible-looking answer that's subtly wrong can be worse than no answer in scientific work. - Have built tooling, data infrastructure, evals, or agent harnesses that turn messy real-world data into something usable and trustworthy — especially welcome if in a scientific or research setting. - Care deeply about the safe and beneficial deployment of AI, especially in sensitive domains. Strong candidates may also have: - Experience deploying LLM or agent systems in regulated or enterprise environments. - Experience building MCP servers, developer tooling, or scientific computing pipelines. - Experience scaling a customer-facing technical team through a period of rapid growth. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Account Executive - Strategic Sales
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 Sales Manager at Anthropic, you’ll lead a team of Strategic Account Executives driving the adoption of safe, frontier AI by securing strategic deals with top enterprises in the Telco, Media, and Retail verticals. You’ll leverage your leadership and consultative sales expertise to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you’ll help customers embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM and Marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing people, identifying market opportunities, and executing strategies to capture them. By leading the deployment of Anthropic’s emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Key responsibilities: - Recruit, coach, and retain Strategic Account Executives with deep industry and platform-selling expertise; develop leadership talent and create career paths that keep top performers growing - Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable within each industry, partnering with Marketing, Enablement, and partner teams to scale them - Engage personally with C-level executives on priority pursuits, building business cases and value narratives and navigating complex procurement, security, and legal processes through to production deployment and expansion - Own the organization's revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate industry needs into product and roadmap input - Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, and cloud partners to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications: - Experience leading strategic sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms - A track record of winning and growing enterprise customers, including building C-suite relationships, in one or more of our focus industries (telecommunications, media & entertainment, retail & consumer, industrials & manufacturing, or business services) - Experience designing go-to-market coverage for a strategic sales team, including but not limited to account prioritization - Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments - Credibility with technical buyers and builders — CIOs, CTOs, CDOs — and experience pairing effectively with solutions architects and applied AI teams - Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities - A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications: - Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to enterprises in telco, media, or retail - Established executive relationships and a strategic-deal track record within the Telco, Media, or Retail verticals - Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators - Familiarity with consumption- or usage-based commercial models and value-based pricing conversations 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: $435,000 - $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Account Executive - GSIs
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 Sales Manager at Anthropic, you’ll lead a team of Strategic Account Executives driving the adoption of safe, frontier AI by winning and growing the world’s largest global systems integrators and consultancies — as both strategic customers and go-to-market partners. You’ll leverage your leadership and consultative sales expertise to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering, Partnerships, and Product teams, you’ll help partners embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM and Marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing people, identifying market opportunities, and executing strategies to capture them. By leading the deployment of Anthropic’s emerging products, you will help systems integrators and their clients obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Recruit, coach, and retain Strategic Account Executives with deep partner/alliance and platform-selling expertise; develop leadership talent and create career paths that keep top performers growing - Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable across each GSI partner and across both the sell-to and co-sell motions, partnering with Marketing, Enablement, Partnerships, and the partners themselves to scale them - Engage personally with C-level executives at the GSIs — and, on co-sell pursuits, at their enterprise clients — building business cases and value narratives and navigating complex procurement, security, and legal processes through to production deployment and expansion - Own the organization's revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across both the internal-adoption and co-sell pipeline - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate partner and client needs into product and roadmap input - Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships (PAMs), Legal, and cloud partners to deliver a seamless experience, and represent Anthropic with partners and at industry events as a visible, trusted leader You may be a good fit if you have: - Experience leading strategic sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms - A track record of winning and growing strategic customers and/or partners, including building C-suite relationships, ideally with global systems integrators, consultancies, or other large partner/alliance ecosystems - Experience designing go-to-market coverage for a strategic sales team, including account and partner prioritization - Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments - Credibility with technical buyers and builders — CIOs, CTOs, CDOs — and experience pairing effectively with solutions architects and applied AI teams - Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities - A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Strong candidates may have: - Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to global systems integrators and consultancies, or to market through partner and alliance channels - Established executive relationships and a strategic-deal track record within global systems integrators or consultancies (e.g., Accenture, Deloitte, PwC, KPMG, EY, TCS, Infosys, Capgemini) - Experience running co-sell and build-with motions with global systems integrators and cloud partners such as AWS and Google Cloud - Familiarity with consumption- or usage-based commercial models and value-based pricing conversations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 - $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Account Executive - Enterprise Sales
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 leader within our Enterprise Industries sales team, you will build and lead an industry-aligned team that brings transformational AI to enterprises across telecommunications, media & entertainment, retail & consumer, industrials & manufacturing, and business services. These are companies rethinking how they serve customers, create and distribute content, run stores and supply chains, and operate physical infrastructure — and they're looking for a partner they trust to take frontier AI from promising pilots into production at the core of their business. You'll own a broad portfolio of enterprise accounts at very different stages of AI adoption, from organizations already running Claude in production to those just beginning their journey. You will lead Enterprise Account Executives, design the coverage and territory model, and build the repeatable, industry-specific plays that turn early wins into durable, scaled adoption. The selling is technical and multi-stakeholder — platform decisions, security and procurement rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms — and you'll shape strategy and operating rhythm while staying personally engaged with executives on the pursuits that matter most. This is a rare opportunity to build a team, not just run a number: to shape how a broad cross-section of the economy adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities: - Recruit, coach, and retain Enterprise Account Executives with deep industry and platform-selling expertise; develop and retain top talent - Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable within each industry, partnering with Marketing, Enablement, and partner teams to scale them - Engage personally with C-level executives on priority pursuits, building business cases and value narratives and navigating complex procurement, security, and legal processes through to production deployment and expansion - Own the team’s revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate industry needs into product and roadmap input - Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, and cloud partners to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications: - Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms - Player-coach sales leader who has personally built and run a high-velocity greenfield motion, someone who thinks in coverage models, PG cadence, and repeatable plays first, deals second - ideally forged at a consumption or PLG platform company, with the vertical depth and partner fluency (CSP/GSI) to activate a 300-account book from day one - A track record of winning and growing enterprise customers, including building C-suite relationships, in one or more of our focus industries (telecommunications, media & entertainment, retail & consumer, industrials & manufacturing, or business services) - Experience designing go-to-market coverage for an enterprise sales team, including but not limited to account prioritization - Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments - Credibility with technical buyers and builders — CIOs, CTOs, CDOs — and experience pairing effectively with solutions architects and applied AI teams - Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities - A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications: - Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to enterprises in these industries - Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators - Experience standing up or running scaled or velocity sales motions alongside traditional field coverage - Familiarity with consumption- or usage-based commercial models and value-based pricing conversations - Experience leading organizations through rapid growth, re-segmentation, or significant change The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $435,000 - $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Machine Learning Infrastructure Engineer, Safeguar...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team builds the systems that detect and mitigate misuse of our AI models, from individual policy violations to sophisticated, coordinated attacks. A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. We're looking for an engineer to own the infrastructure behind that research. This is the tooling our researchers rely on to run experiments, train detection methods, and select detections for launch. It sits between research and production: researchers depend on it for fast iteration, and our detection systems depend on it for reliable, correct results as our models continue to change. Running machine learning workloads at our scale often requires solving novel systems problems. You'll identify those problems and build the abstractions, pipelines, and tooling that keep the research loop fast as requirements shift underneath you. Strong candidates will have a track record of solving large-scale systems and data problems and will be excited to grow deep machine learning expertise alongside it. Key responsibilities - Build and scale the infrastructure and data pipelines behind Safeguards machine learning research - Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result - Design tooling and interfaces, including libraries and command line tools, that researchers can use directly without needing to understand the systems underneath - Build correctness and sanity checking into the stack, so results stay trustworthy as models and workloads evolve - Take the highest-value research workflows from experiments to reliable, production-grade jobs - Improve the throughput, cost, and reliability of large-scale inference and scoring workloads - Partner closely with researchers and engineers across Safeguards to understand their workflows, anticipate how their needs will change, and design for that ahead of time Minimum qualifications - Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python - Experience building and operating data-intensive or distributed systems in production - Experience building tooling or infrastructure that other engineers or researchers use as a dependency - Comfort working across the research-to-deployment pipeline, from exploratory experiments to production systems - Ability to debug performance and correctness problems across an unfamiliar stack - Strong written and verbal communication skills, and a collaborative approach to technical decisions Preferred qualifications - Experience with high-performance, large-scale machine learning systems - Familiarity with language modeling and transformers, including working with model internals - Experience with machine learning framework internals, GPU or accelerator programming, or inference optimization - Experience building experiment tracking, caching layers, or evaluation harnesses for research teams - Experience with probes, interpretability, or classifier development - Interest in the misuse risks of AI systems and a desire to work on mitigating them The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 - $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Life Sciences Operator, Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing investment in building capabilities for drug discovery and development, we're looking for an exceptional biotech operator to help accelerate research in these areas. Our north star is to speed up progress in drug development by an order of magnitude, and this role is central to that goal: bringing sharp scientific judgment and operational expertise to identify where AI can have the greatest impact, and the drive to turn those insights into real results. This role is for an entrepreneurial operator with proven hands-on experience generating and translating therapeutic hypotheses in a biotech setting. You should be self-directed and multi-disciplinary - equally comfortable shaping the strategic direction of our life sciences work, partnering closely with our research, product, and go-to-market teams, or working hands-on with Claude, including tools like Claude Science, to explore hypotheses, design and analyze research, and demonstrate what's newly possible for scientists. The ideal candidate has grown up professionally in an organization that prioritizes scientific and executional rigor— for example, at a high-growth life sciences company or a leading science-focused investment or venture firm — and brings a rare blend of scientific depth, operating ability, and biotech fluency. Key responsibilities - Identify and prioritize the areas where AI can most meaningfully accelerate life sciences research - Turn promising scientific ideas into concrete, well-scoped efforts and see them through with speed and ownership - Translate ambiguous scientific questions into structured, testable plans with clear milestones - Work hands-on with Claude and Claude Science to explore hypotheses, design and analyze research, and show what's newly possible - Partner across research, product, and go-to-market to shape strategy and bring scientific work to life - Serve as a trusted scientific voice, communicating clearly with both technical and business audiences Minimum qualifications - A strong scientific and operating background with direct experience taking ideas from concept to results in a company setting; MD/PhD not required - Have grown up professionally in a multidisciplinary role at a high-growth life sciences company or a leading science-focused investment or venture firm - Previously founded or joined as a founding team member of a biotechnology startup - Excellent scientific taste and entrepreneurial instinct — a track record of identifying and capitalizing on compelling opportunities before they are obvious - The wherewithal to execute independently; you are senior enough to have real judgment, but hands-on enough to build things yourself - A unique blend of scientific and business literacy, and are comfortable moving fluidly between the two Preferred qualifications - 7+ years of direct experience taking ideas from concept to results in a company setting - Comfort navigating ambiguity and building in a fast-moving, frontier environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Legal Program Manager, Contracts and Governance
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 Legal Program Manager to join our Commercial Legal team, focused on contracts and governance. This role is central to Anthropic’s compliance efforts on the commercial side: you will embed deeply in our sell-side contracting processes, partner across functions, and help build the controls, workflows, and governance infrastructure that revenue-generating activities require as the company matures. You will sit at the intersection of Legal, Finance, Revenue Operations, Sales, Partnerships, Engineering, and Accounting — ensuring that commercial contracting practices meet our governance and compliance standards, with particular emphasis on revenue recognition workstreams. This is a high-visibility role where you will be expected to operate as a player-coach: managing and improving contracting processes yourself while building scalable systems, templates, and playbooks as the function grows. Key responsibilities - Partner with Commercial Legal to continuously improve the end-to-end commercial contracting lifecycle for sell-side agreements (SaaS/API subscriptions, enterprise licenses, partnership and channel agreements, statements of work, and order forms), ensuring alignment with revenue recognition requirements under ASC 606 - Partner with Finance and Accounting to ensure commercial contract terms and structures support accurate revenue recognition, including proper identification of performance obligations, variable consideration, contract modifications, and multi-element arrangements - Develop and maintain contract management workflows, templates, approval matrices, and playbooks that embed governance and compliance requirements directly into the contracting process - Build and operate contract governance controls tied to compliance requirements, including contract review procedures, delegation of authority frameworks, and exception-tracking mechanisms - Maintain disclosure-support processes for commercial contracts, including tracking of material agreements, contract-related risks, and commitments that feed SEC reporting and audit requirements - Partner with Revenue Operations, Sales, and Engineering to design and enforce contract execution standards — including signature authority, amendment protocols, and proper documentation practices — that support SOX compliance and internal controls over financial reporting - Collaborate with cross-functional stakeholders (Sales, Partnerships, Finance, FP&A, Accounting, Engineering, and external auditors) to ensure commercial commitments are properly captured, classified, and reported - Deploy LLM and AI tooling to scale contracting throughput, surface governance exceptions, and reduce manual handling Minimum qualifications - At least 8–10 years of experience in legal program management, legal operations, contracts management, or commercial legal support, preferably in a technology or SaaS environment - Deep, practical knowledge of sell-side commercial contracting processes, including SaaS, subscription, and enterprise licensing agreements - Strong ability to read, interpret, and analyze commercial contracts, with a thorough understanding of legal requirements, key contractual provisions, risk allocation, and compliance obligations (past experience negotiating and drafting contracts is a significant plus) - Working familiarity with revenue recognition principles (ASC 606) and how contract terms and deal structures impact revenue treatment - Experience building or significantly improving contracting workflows, templates, approval processes, or contract lifecycle management systems - Demonstrated ability to partner cross-functionally with Sales, Finance, Accounting, Engineering, and other business teams to align contracting practices with corporate requirements - Strong project management skills with the ability to manage multiple workstreams, drive accountability, and deliver results in a fast-paced, scaling environment - Excellent written and verbal communication skills, with the ability to translate complex legal and financial concepts into clear, actionable guidance for non-legal stakeholders - Sound judgment and the ability to identify and escalate contract risks, governance gaps, and compliance issues proactively - Comfort using AI and LLM tools to streamline and scale routine contracting work Preferred qualifications - Prior experience working in a public company environment, with firsthand knowledge of the governance, compliance, and reporting cadences that public company operations require - Experience at a high-growth technology company that has undergone (or is preparing for) a company transition - Deep cross-functional experience partnering with Accounting, Engineering, and other technical and operational teams — not just Sales and Finance — to drive contracting and governance initiatives - Familiarity with SOX compliance requirements, particularly internal controls over financial reporting as they relate to the revenue cycle and commercial contracting - Hands-on experience with Ironclad as a contract lifecycle management platform; experience with other CLM tools (Icertis, DocuSign CLM, Salesforce, or similar) also valued - Experience with vendor and supplier contracting processes, bringing a well-rounded understanding of both sides of the commercial contracting lifecycle - Background in building delegation of authority frameworks or contract governance programs from the ground up - Professional certifications such as PMP or CPCM (Certified Professional Contracts Manager) - Experience managing or administering equity-related commercial agreements, strategic partnerships, or complex multi-party commercial arrangements - Interest in AI policy, AI safety, and the legal and governance questions emerging at the frontier of the field The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $220,000 - $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. 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.
Legal Program Manager, Compute & Infrastructure
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 exceptional Legal Program Manager to serve as the operational backbone of contracting for the Compute and Infrastructure team. We'll rely on you to manage a high volume of procurement and vendor agreements — including datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; and construction, facilities, and operations-and-maintenance (O&M) contracts — along with the NDAs, order forms, SOWs, and amendments that surround them. You will build the scalable contracting processes — templates, playbooks, intake and approval workflows, and contract lifecycle management — that let the business move at the speed of Anthropic’s infrastructure buildout. This role owns the system, throughput, and visibility that move every agreement from intake through signature. Key responsibilities - Coordinate and shepherd a high volume of compute and infrastructure procurement transactions — datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; construction/EPC and facilities/O&M agreements; and the supporting NDAs, order forms, SOWs, and amendments — driving each from intake through signature - Own and administer the contract lifecycle management system: workflow design and configuration, templates, approval routing, signing and archive and integrity hygiene - Design and run intake and triage: how requests enter, how they are prioritized, and how they route to the right owner - Propose and develop scalable solutions to improve contracting efficiency and throughput across the infrastructure vendor base - Collaborate with business units and legal team members to streamline contract management processes, manage post-signature obligations and renewals across the infrastructure vendor portfolio, identify potential risks, and drive continuous improvement in contract handling efficiency - Partner closely with the Compute and Infrastructure, Product, Finance, Security, Business Operations, and Procurement Ops teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel - Build reporting, dashboards, SLAs, and the metrics that surface turnaround times and bottlenecks across the infrastructure vendor portfolio - Deploy LLM and AI tooling to scale contracting throughput and reduce manual handling Minimum Qualifications - Experience operating in a fast-paced technology startup in which priorities shift rapidly and schedules "move to the left," thriving in this dynamic environment and priding yourself on your adaptability and ability to pivot with speed and grace - Initiative and autonomy in managing complex contractual matters, effectively prioritizing competing deadlines - An understanding of what's important in the context of a contract, the organization's mission, and enough contract fluency to triage and route requests, track obligations, and pull in relevant legal counsel - Excitement to grow with an organization and help shape the culture of the commercial function - A preference for straightforward, concise explanations over legalese and overwrought drafting - A knack for identifying and implementing efficient processes and policies - The ability to thrive as a member of cross-functional teams building frontier technologies, with a desire to develop a deep understanding of the Compute & Infrastructure teams and the datacenter, hardware, and network systems they build and operate - Comfort operating outside your areas of expertise and in uncharted legal territory - A "doer" mentality, willing to roll up your sleeves to get things done as a team player who doesn't hesitate to jump in to do work that needs to get done, whether glamorous or not - Hands-on experience with contract lifecycle management or legal-operations tooling, process design, and working from data, metrics, and dashboards - Comfort using AI and LLM tools to streamline and scale routine contracting work Preferred Qualifications - 10+ years in contract management, legal operations, or procurement operations, including hands-on experience implementing or administering a contract lifecycle management (CLM) platform; experience supporting infrastructure, datacenter, hardware, construction, or telecom/network procurement and vendor contracting - Proven ability to collaborate across various organizational levels and functions to facilitate efficient contracting processes and execution while building strong relationships - Working familiarity with the structure of datacenter, colocation, and lease agreements; hardware and equipment procurement; construction, facilities, and O&M contracts; network and telecom agreements; high-volume, template-driven vendor contracting; and general contract terms - Excellent verbal and written communication, analytical, collaboration, and interpersonal skills - Motivated self-starter able to multitask and juggle multiple priorities in a dynamic environment - Authentic integrity and a deep understanding of the importance of ethics in business - Experience implementing or administering a CLM platform (Ironclad) and standing up reporting and metrics The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $340,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Lead, Frontier Red Team (Cyber)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team As part of Anthropic’s work on the frontier of cybersecurity, we are forming a new team focused on steering the world through the next generation of cybersecurity. It is now clear that frontier AI models – Mythos and beyond – will have dramatic impacts on cybersecurity. This team will research the impacts of advanced models, beyond Mythos, on security – and publish the research and build + deploy the defenses the world needs to navigate it smoothly. We believe many parts of cybersecurity will need to be fundamentally reimagined for the age of powerful models. This team is incubated with the highest priority within the Frontier Red Team, which studies the catastrophic risks and builds and advocates for defenses. See our previous related work on Mythos , N-days , exploits , 0-day , and finding vulns in hardened codebase . We also run Project Glasswing . About the Role The Lead will oversee all of Anthropic’s mission-driven research on defending the world in an era of advanced cybersecurity capabilities. They will lead research to uncover the offensive and defensive capabilities of Claude, prototype defenses in the wild, inform how Claude is trained and safeguarded in order to favor defenders, and engage with the public and government. The Lead will, over the long run, focus on how to give defenders a permanent advantage. Done well, within a year we expect Mythos, Glasswing, and our vulnerability and exploit research to seem like a modest first step towards this vision. They will work with our Product, Training, Security, and Safeguards teams to support their missions. The Lead will be responsible for all components of this vision. They will hire a world-class research team, lead them to produce frontier research on extremely quick timelines, maximize the public impact of that research, and build and deploy defenses into the world. The lead will develop a compelling vision for a dramatically more secure future, and communicate it to the company, industry, researchers, and government. The lead will also be responsible for informing and making difficult decisions at the highest levels of the company – how to broadly distribute access to advanced capabilities, how to safeguard the model, what threats to focus on, what systems to harden, and what high-risk, high-reward research to take bets on. The role is based in San Francisco, but we expect some travel at least to Washington DC. What You'll Do - Be responsible for Anthropic’s overall defensive cybersecurity vision - Hire and lead a world-class research team of AGI-pilled cybersecurity researchers and program managers - Design an AGI cybersecurity research program that aims to secure the world - Lead the team to execute on this research at the scale, speed, and quality of a frontier lab - Work with other Anthropic teams, such as Training, Safeguards, and Policy, to address their biggest opportunities and challenges in Anthropic’s cybersecurity mission - Identify field partners – maintainers, researchers, companies, governments – to do joint projects with - Develop a strategy to publish and share research with the world for maximum impact; shut down and avoid low-impact research or research communication - Translate technical findings into compelling demonstrations and artifacts that inform policymakers and the public - Proactively identify critical strategic decisions for the company and the AI lab ecosystem, raise them, marshall resources to address them, and help the decisions be made as smoothly as possible Sample Projects - Writing the strategy for how a frontier AI lab can use frontier models and resources to most defend the world - Building frameworks and tools that enable AI models to autonomously find and patch vulnerabilities using tens of trillions of tokens - Running purple-team simulations where AI defenders compete against AI attackers in network environments - Pointing autonomous AI systems at real-world security challenges (bug bounties, CTFs etc.) to characterize risks, defensive potential, and compare to human experts - Building demonstrations of frontier AI cyber capabilities for policy stakeholders The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $485,000 - $755,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Lead Data Scientist, Platform Product
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. You'll be embedded with teams supporting our Developer Platform — the infrastructure that enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself — bringing rigor and clarity to a fast-moving environment. Key responsibilities - Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success - Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams - Develop hypotheses and apply rigorous causal inference methods — including controlled experiments and synthetic controls — to evaluate platform changes and make actionable recommendations - Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions - Build statistical models, optimization frameworks, and simulations to support and automate operational and decision-making processes - Present complex analyses and recommendations clearly to both technical and non-technical stakeholders - Help establish foundational data practices and scale analytics infrastructure to support rapid iteration as the platform grows Minimum qualifications - Proficiency in Python, SQL, and data visualization tools - Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments - Experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy - Effective written communication and presentation skills, with the ability to translate complex analyses into clear, actionable recommendations for both technical and business audiences Preferred qualifications - 6+ years of experience in data science or analytics roles - Experience supporting B2B sales teams with data insights - Strong instincts for what drives product adoption, engagement, and retention in developer or enterprise contexts - Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem - Comfort operating in ambiguous, fast-moving environments where creating clarity is part of the role - A genuine interest in Anthropic's mission of building safe and beneficial AI The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
IT Systems Engineer, Client Platform Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Endpoint team (Client Platform Engineering) treats Anthropic’s device fleet as a distributed platform, not a collection of laptops. We run our own MDM as a production service and manage every piece of device configuration as code. Policies, configuration profiles, queries, remediation scripts, and software all ship through pull requests, CI, a staging environment, and a canary group before they reach the fleet. The fleet spans macOS, Windows, and a growing mobile footprint. You’ll own that platform end to end: the infrastructure underneath the MDM, the configuration on top of it, the patching and software pipelines that keep thousands of devices patched and secure, and the telemetry that tells us what is actually true on every device. You’ll build zero touch provisioning that turns a sealed box into a productive machine on day one, manage rapid patching enforcement schedules while maintaining a good user experience, and build automation and Claude-driven workflows to eliminate operational toil. The role sits at the intersection of security and developer experience: working with Security teams on hardening, compliance controls, and detection and response, and with developer and infrastructure teams to make sure controls don't get in the way of getting work done. It also lays the groundwork for access decisions based on device trust. If you think of “100% compliant” as a claim to audit rather than a fact to report, you’ll fit right in. The team is deliberately lean and runs with high autonomy. You’ll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee’s work runs on. Your work will directly shape our next security milestones. Responsibilities - Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS, Windows, and mobile, with canary stages and rollback built in - Operate the MDM platform itself as a production service, including infrastructure as code, observability, upgrades, and incident response - Build patch management automation with rapid enforcement timelines while maintaining good user experience - Design zero touch provisioning that turns a sealed box into a productive machine on day one - Run software distribution for the fleet, including managed app distribution for mobile devices - Turn fleet telemetry into policy, dashboards, and early drift warnings, and build automation with Claude that removes operational toil - Partner with Corporate Security on endpoint hardening, binary authorization, and compliance controls - Serve as the deep escalation tier for endpoint issues IT Operations can’t resolve You may be a good fit if you - Have 8+ years building secure IT systems in complex environments, or for Staff level, have led projects spanning multiple teams that changed how an organization operates - Have managed endpoint fleets of thousands of macOS and Windows devices through a modern MDM - Treat endpoint configuration as code and have moved past clicking in consoles, whether through scripted deployments or full GitOps - Go deep on one platform (macOS internals such as launchD, configuration profiles, TCC, and system extensions, or Windows internals such as CSPs, the registry, PowerShell, and BitLocker) and are genuinely hands on with the other - Excel at solving ambiguous problems with multiple stakeholders - Communicate technical concepts clearly to any audience - View IT Engineering as requiring product engineering rigor - Successfully deliver complex projects from conception to production - Write clear documentation as a natural part of your workflow Strong candidates may also - Have operated an MDM or device management platform as a service, not only consumed one as SaaS - Have worked with open source endpoint and device management tooling - Have built automated, progressive rollout systems with promotion gated on telemetry - Have experience running infrastructure as code in a public cloud - Have managed a mixed fleet across macOS, Windows, and mobile, with real depth on at least one platform - Bring proficiency in Swift or Go for building endpoint tools - Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills - Python, shell scripting, and PowerShell - macOS or Windows internals (depth on one, working knowledge of the other) - Querying live device state at fleet scale - Modern MDM platforms (Jamf, Intune, Workspace ONE, or equivalent) - GitOps, CI/CD for configuration management, and infrastructure as code - Public cloud fundamentals (containers, managed databases, CDN, monitoring) - Device lifecycle automation (zero touch enrollment, patching, software distribution) - Endpoint security fundamentals 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: $325,000 - $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
IT Support Engineer, Executive Support
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board. You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed. Responsibilities - Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members - Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure - Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage - Create exec-support runbooks and SLAs that keep the service consistent as it grows - Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go - Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them - Establish the board member device, account, and access setup process with our Onboarding lane - Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage - Participate in the Core on-call rotation and contribute to the knowledge base and runbooks - Maintain a regular on-site presence in San Francisco You may be a good fit if you have - 7+ years of experience in IT support and 3+ years in executive support - Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service - Experience supporting executives, their assistants, or a board to a white-glove standard - A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told - Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle - AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure - Composure when an urgent escalation lands, and the judgment to know when to pull in help - High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work - A security-first mindset and excellent judgment about when user experience yields to security requirements - Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work - The instinct to write things down: runbooks, KB articles, and status updates that keep people informed Nice to have - Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements - AV depth beyond first response, such as broadcast, live events, or room design input - Experience building runbooks, self-service content, or support automation - Experience supporting AI/ML research environments or highly technical user bases 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: $230,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
IT Support Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment. Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. Responsibilities End-User Support - Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person - Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) - Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement - Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) - Handle escalations requiring cross-team coordination - Participate in an on-call rotation for urgent issues outside business hours - Provide hands-on support for user technology, AV systems, conference rooms, and printers Communication & Documentation - Communicate clearly with users of all technical levels - Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles - Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves Operational Improvement - Help streamline onboarding and other high-volume operations as the company scales - Contribute to automation efforts - Maintain and improve device management, identity, and access systems - Assist with scripting (Bash, Python) to automate repetitive tasks You may be a good fit if you - Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment - Are an excellent communicator who genuinely enjoys helping people solve problems - Have strong troubleshooting skills and are methodical, curious, and persistent - Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android - Have significant experience with Google Workspace administration - Have experience with Slack administration — workspace management, permissions, and troubleshooting - Have substantial experience supporting and administering additional SaaS tools - Understand identity and access fundamentals — SSO, MFA, directory services - Are familiar with MDM fundamentals and endpoint management concepts - Have experience with basic scripting (Bash or Python) for automation - Take ownership of problems and follow through until they're resolved - Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?" - Are organized enough to manage competing priorities without things falling through the cracks - Propose solutions when you see a process that doesn't scale - Are looking to develop deeper technical skills and take on more complex systems administration challenges over time Strong candidates may also - Be familiar with zero-trust security concepts and endpoint security tooling - Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals - Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns) - Have experience using AI tools to improve personal or team productivity Location This role is based in our San Francisco office and there is a 4 day/week in office expectation. What Makes This Role Unique You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic. 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: $230,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
IP Counsel, Copyright
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced IP Counsel to join our IP legal team with a focus on copyright. In this role, you will work cross-functionally with our AI product development and research teams and in-house legal team members across product, research, and litigation to navigate emerging copyright challenges unique to frontier AI systems. You will tackle novel legal questions around model outputs, product features, and AI training data, and help establish copyright frameworks that will shape the future of AI development and deployment. You will also advance Anthropic's views on copyright and AI through external engagement, including policy papers and in-person engagements. Key responsibilities - Serve as an internal expert resource on copyright law for research, product, litigation, and policy stakeholders - Advise in-house legal teams on a range of copyright issues across model and product development and litigation - Provide day-to-day copyright guidance to product, engineering, and safety teams on features, launches, and content policies - Monitor and translate US and international copyright developments to internal stakeholders - Collaborate on evolving and implementing Anthropic's global strategy on copyright issues, including monitoring, researching, and advising on emerging developments - Help shape public positions and create advocacy materials on copyright issues - Collaborate with fellow IP counsel and other in-house legal teams and outside counsel on litigation and monitor copyright developments involving other organizations - Engage with academics, industry groups, and other stakeholders to develop norms and best practices around copyright and AI Minimum qualifications - JD and active membership in at least one U.S. state bar (California preferred) - Expertise in U.S. copyright law and its application to emerging technologies, with working knowledge of international copyright frameworks - A creative problem-solving approach, with the ability to translate complex legal concepts for technical teams and develop practical solutions in uncharted legal territory - A track record of thriving in fast-paced environments, wearing multiple hats while balancing innovation with responsible risk management - Exceptional communication skills with a track record of cross-functional collaboration, particularly with technical and policy stakeholders Preferred qualifications - At least 10 years of relevant legal experience advising on copyright issues for technology companies or AI/ML products (in-house experience preferred) - Demonstrated experience advising in-house teams on machine learning development lifecycles, AI products, and the unique copyright challenges they present - A passion for AI's potential while maintaining a realistic assessment of its risks, with a commitment to building ethical and trustworthy systems Role-specific policy: For this role, we expect staff to be able to work from our San Francisco, Seattle, Washington D.C., or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Internal Communications Manager, Tech
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an Internal Communications Manager to serve as a dedicated communications partner to our Core Tech organization (the teams building and securing the systems behind Claude, from engineering and infrastructure to security). Depending on your background and where the need is greatest, your portfolio might center on security, on engineering more broadly, or span both - we'll shape that together during the hiring process. Internal communications at Anthropic is not a support function that plans meetings and sends newsletters. The best people in this role operate like advisors who embed themselves deeply in the orgs they support, earn a seat at the leadership table, write on behalf of executives, and see around corners, anticipating what the organization will need to hear before anyone asks for it. There are traditional elements to the role too, like all-hands planning and org change announcements, and you'll run those with operational excellence. But the heart of the job is more creative and will require you to find ways to connect the rest of the company to some of the most consequential and least visible work at Anthropic, and making the line between that work and our mission clear and strong. The work of Core Tech is deeply technical and the company depends on it (like architecting new products for Claude to reach users, model inference, capacity planning, building reliable systems, and the security that protects all of it) but most employees rarely see this work directly…unless something goes wrong. Your job is to change that by understanding this work, and the people doing it, well enough to tell its story credibly, and to help its leaders communicate with clarity and candor as the company scales. Responsibilities - Own the internal communications strategy for your portfolio within Core Tech, becoming an expert in the team's work and a trusted member of its leadership team - Serve as a hands-on advisor to executives - help them think through what to say and when, draft communications in their voice, and give them honest counsel, especially in moments when that’s challenging or uncomfortable. - Translate deeply technical work into narratives that land with employees across every function, without losing the substance - Get creative about how you connect people to the work - don't default to creating a slide deck when a demo or something no one has tried yet would land better - Anticipate communications needs before they arrive (e.g. launches, incidents, organizational change, moments of external attention) and have a plan ready for how we’ll bring employees along - Design and implement strategies to boost signal and reduce noise, so employees know what's important and what it means for them - Plan and execute internal fora like all-hands and AMAs with operational excellence - Exercise sound judgment with sensitive material, especially where security work requires care about what is shared, with whom, and when - Partner closely with the broader internal communications team to ensure updates are accurately and consistently cascaded across existing channels and live forums You may be a good fit if you - Have 8–12 years of experience in communications or an adjacent craft where you learned to make complex, high-stakes material clear under pressure (e.g journalism, speechwriting, chief of staff work, strategy and operations) - Are an exceptional writer with a particular talent for distilling technical decisions and cross-functional projects into simple, compelling narratives, and can write convincingly in someone else's voice - Have served as a trusted advisor to senior leaders and know how to build those relationships: when to push, when to listen, and how to deliver a recommendation even when it’s something an exec may not want to hear - Can embed credibly with engineers and security practitioners. You are curious about how technical systems work, ask good questions, and earn the trust of people who may be skeptical of comms by default - See the big picture and are able to connect individual team updates to company strategy and mission - Have a keen eye for organizational culture and can recognize authentic moments worth amplifying Strong candidates may also - Have experience communicating about security, infrastructure, or other deeply technical domains - Have worked at AI companies, frontier tech companies, or other organizations where the technical work moves faster than most people can follow - Have built or run internal communications programs during periods of rapid organizational growth The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $295,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Insider Risk Investigator
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 exceptional Insider Risk Investigator with expertise in both human and technical investigations to support and protect Anthropic's mission. The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks to Anthropic's most critical assets — our people, our data, and our infrastructure. Responsibilities - Triage custom technical detection alerts - Independently conduct end-to-end insider risk investigations while working closely with IT, Detection and Response, Legal, HR and other cross-functional teams - Monitor and triage external threats targeting employees - Conduct sensitive interviews of employees or other involved parties - Perform technical analysis of logs from SIEM, DLP, UEBA systems - Leverage AI tools (Claude, Claude Code) to accelerate investigation workflows and data analysis - Build and maintain investigation documentation - Assist in iterating and improving on processes, procedures and systems to detect, mitigate and investigate insider risks - Work cross-functionally to develop, refine and operationalize insider risk indicators, scenarios and mitigation strategies - Provide rapid-turnaround security assessments to support business operations - Support education and awareness programs to promote a robust security culture - Serve as the subject matter expert for insider risk and provide training to team members as needed You may be a good fit if you have - Bachelor's degree and/or higher education in a related field - 5-8 years of experience in insider risk, corporate investigations or a related domain - 3-5 years experience in conducting investigative interviews - At least 1-2 years of private sector experience - Experience conducting OSINT for threat assessment, or counterintelligence - Experience leveraging DLP, UEBA, SIEM, SOAR and other insider risk security tooling for detections and investigations - Knowledge of open source research techniques and tooling - Broad understanding of internal and external investigations, cybersecurity, interview techniques, risk assessment and managing strong cross-functional relationships - Ability to communicate complex security findings clearly and concisely to non-technical stakeholders (written and verbal) - Track record of rapid response to time-sensitive security requests - Comfort operating across organizational boundaries (Security, People, Legal, IT) - Exceptional communication, collaboration skills and the ability to lead projects with little guidance - Demonstrated ability to operate independently with minimal oversight while managing sensitive cases Strong candidates may also have - Experience working in the technology industry or at/with AI/ML companies - Experience with counterintelligence investigations and nation-state threat actor TTPs - Background in open-source intelligence collection and analysis - Track record of AI/LLM adoption for productivity gains in investigative work - Experience contributing to a high growth startup environment - Specialized knowledge of risks unique to the AI sector - Experience with data exfiltration investigations across multiple vectors (email, cloud, removable media) - Experience working in government, defense, or high-security environments What makes you successful here - Entrepreneurial mindset: You see gaps and fill them without being asked - Technical + human balance: Equal comfort analyzing log data and conducting sensitive interviews - AI-native approach: You leverage LLMs to work smarter, not just harder - Mission alignment: You understand AI safety stakes and insider risk's role in protecting that mission - Judgment under uncertainty: You make sound decisions with incomplete information - Clear communicator: You distill complex findings into actionable insights for diverse audiences - Cross-functional navigator: You build relationships and collaborate effectively across teams Candidates need not have - 100% of the skills needed to perform the job - All certifications or educational credentials listed - Prior experience working in the AI field 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: $245,000 - $305,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Infrastructure Tax Lead
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 making significant, sustained investment in compute infrastructure to support our AI safety mission. We are looking for an Infrastructure Tax Lead to own tax end-to-end across that portfolio — sitting at the point of deal flow, embedded with the Infrastructure team, and coordinating across Legal, Technical Accounting, FP&A, International Tax, Transfer Pricing, Provision, and Incentives. Key Responsibilities - Serve as the embedded tax partner to Infrastructure team on deal intake: gather facts on site specs, counterparty structure, review and own commercial contracting for tax clauses; provide structure review and term-sheet input early enough to shape the deal - Work with regional tax teams to create and operationalize datacenter entity structures across jurisdictions: entity formation, operationalization with local teams, contemporaneous documentation, withholding on cross-border financing, permanent establishment risk - Partner with Incentives lead on state and local incentives, sales and use exemptions, property tax incentives, and site selection tax input; ensure incentive commitments and compliance obligations are reflected in the integrated tax position for each site - Coordinate with Infrastructure Accounting and tax accounting team on lease-versus-purchase treatment, consolidation questions, capitalization policy, and book-tax differences across a range of deal structures - Partner with transfer pricing on policy for the infrastructure footprint: intercompany compute pricing, benchmarking, and documentation that will withstand scrutiny as intercompany flows scale - Partner with the tax provision team on quarterly impact of new structures and deferred tax positions; ensure there are no surprises between deal close and quarter close - Build and maintain infrastructure tax playbooks, issue-spotting checklists, and internal processes so the function scales with deal volume rather than linearly with headcount Minimum qualifications - In-house tax experience at a hyperscaler, cloud provider, or large-scale datacenter operator - Experience standing up and maintaining entity structures across multiple jurisdictions, including contemporaneous documentation and operationalizing with local finance, legal, and accounting teams - Working fluency in cross-border withholding on intercompany and third-party financing, permanent establishment analysis, and debt-versus-equity characterization - Track record of owning the integrated tax position across a portfolio of deals — not advising on one issue at a time, but carrying the thread across functions from term sheet to post-close - Demonstrated ability to operate as a cross-functional coordinator: comfortable running point across Legal, Accounting, FP&A, and business teams without formal authority over any of them - Exceptional written and verbal communication — able to translate complex tax positions into clear guidance for Infrastructure leadership and deal teams - Comfort with ambiguity and a track record of building processes from scratch in a fast-moving environment Preferred qualifications - 12+ years of tax experience with significant exposure to datacenter, tax planning, including meaningful international range - Big 4 or law firm experience in a datacenter, or infrastructure tax practice - JD strongly preferred; LL.M. in Taxation or MST a plus - Hands-on transfer pricing experience for intercompany services or compute, including benchmarking and documentation - Experience with the owner-operator transition: construction-period capitalization, placed-in-service timing disputes, property tax during buildout, and sales/use on construction inputs versus operating equipment - Background in state and local incentives, economic development negotiation, or site selection tax — either as a dedicated practitioner or as a frequent collaborator - Experience with non-US datacenter tax regimes and cross-border infrastructure structures - Existing relationships with datacenter developers, tax counsel, or Big 4 infrastructure tax teams The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Incident Response Manager - Product & Engineering
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for an Incident Response Manager to serve as the operational backbone of how Anthropic handles incidents. When things go wrong, you are the person who makes sure the right people are in the room, the right information is flowing, and nothing falls through the cracks. The right person for this role brings structure and rigor to high-volume, high-stakes situations without waiting for a playbook to be handed to them. You will work across engineering, product, security, legal, go-to-market, and leadership to ensure Anthropic responds to incidents with speed, clarity, and accountability. This is not a role where you follow existing runbooks; it is a role where you write them, and where you operate effectively even when the runbook does not yet exist. Responsibilities - Build the incident response management function, establishing the processes, tooling, and operational standards that define how we handle incidents at scale - Serve as an on-call incident commander, driving coordinated response across technical and non-technical stakeholders during incidents of varying severity, including managing multiple active incidents simultaneously - Engage the right people at the right time, with a strong sense of urgency, bringing order and direction to fast-moving, ambiguous situations - Own incident communications end-to-end, from real-time internal coordination to external channels like status pages, direct customer outreach, and stakeholder updates, ensuring they reflect Anthropic's commitments to safety, transparency, and accuracy - Participate in blameless incident reviews, contributing operational context and helping drive follow-through on critical remediations so the same class of incident does not recur - Partner with engineering teams to develop and maintain incident response policies, procedures, and escalation frameworks that scale with Anthropic's growth - Partner with engineering, product, security, legal, and go-to-market teams to continuously improve how the organization detects, responds to, and learns from incidents You May Be a Good Fit If You - Have 5+ years of experience in incident management, with direct experience managing technical product or infrastructure incidents (not exclusively security or trust and safety) - Have built or significantly shaped an incident response program, ideally at a high-growth startup or in an environment where you had to create structure rather than inherit it - Demonstrate a strong sense of ownership and urgency, with the ability to operate independently and make sound decisions under pressure without waiting for direction - Are comfortable working in unprecedented situations where processes are still being defined and guidance may be incomplete or conflicting, leaving things better than you found them - Have a track record of effective cross-functional collaboration, particularly with engineering, security, legal, communications, go-to-market, and executive leadership - Bring a blameless, learning-oriented mindset to incident reviews, focused on systemic improvement rather than individual fault - Have experience with cloud infrastructure incidents and enough technical depth across the stack to engage meaningfully with engineering teams during response, including comfort navigating distributed systems, monitoring tools, and logs - Are analytically minded, with experience using data (incident metrics, queries, trend analysis) to inform decisions during response and to drive operational improvements over time - Communicate clearly and calmly under pressure, both in real-time coordination and in post-incident written communications - Thrive in high-volume, fast-paced environments and are energized by bringing operational discipline to complex, evolving situations 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. 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.
Incident & Crisis Management Lead
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 Incident & Crisis Management Lead to join Anthropic's Global Safety, Intelligence, and Security (GSIS) team. In this role, you will operationalize Anthropic's crisis management program, equipping the company to prevent, prepare for, respond to, and recover from incidents and crises that could impact our people, operations, or mission. The threat landscape is broad, spanning physical, supply chain, operational, reputational, and geopolitical disruption. While this role does not directly manage technology incidents (such as IT outages, disaster recovery, or engineering issues), you will ensure the right stakeholders are engaged whenever a threat crosses both physical and technical domains. This role sits at the intersection of emergency management, enterprise resilience, and executive communication. Working closely with the Enterprise Resilience Manager, you will lead incident and crisis exercises and real-world activations, maintain scalable response plans and playbooks, and build the capability of cross-functional teams to perform under pressure. You will be a visible, trusted partner across the organization, known for steady judgment, clear communication, and a relentless focus on continuous improvement. This is an individual contributor role with the opportunity to shape a function foundational to Anthropic's long-term resilience. As Anthropic scales globally, the stakes and complexity of our crisis management needs grow with it, and this role is central to meeting that challenge. This role carries an on-call requirement and after-hours availability. The Incident & Crisis Management Lead is expected to respond to threats as they arise, including evenings, weekends, and holidays. Responsibilities - Operationalize Anthropic's crisis management program, translating industry frameworks (NIMS/ICS, ISO 22361, ISO 22301) into response plans, playbooks, activation protocols, and governance structures that fit the organization - Serve as Incident Commander, or provide direct support to the Incident Commander, during activations, leading and coordinating response teams in real time - Design and facilitate exercises and tabletop simulations of increasing complexity to test plans, build team capability, and surface improvement opportunities across GSIS and cross-functional partners - Lead after-action reviews following exercises and real-world incidents; track corrective actions to completion and fold lessons learned into future plans and training - Partner with GSOC, Legal, People, Communications, IT Security, and Facilities to build coordinated crisis response capability across a broad range of threats - Maintain and regularly validate Crisis Management Team rosters and activation contacts - Monitor the threat environment for developments relevant to Anthropic's operations and advise leadership on emerging risks - Support broader enterprise resilience initiatives, including business continuity and disaster recovery - Advance the integration of AI tools into how we identify, respond to, and recover from threats - Support the Enterprise Resilience Manager on special projects as needed You May Be a Good Fit If You - Have 8+ years of professional experience in emergency management, incident response, or crisis management - Have led cross-functional response teams as Incident Commander in high-stress, rapidly evolving situations - Hold a bachelor's degree in Emergency Management, Risk Management, Business Administration, or a related field, or bring equivalent practical experience - Have designed and facilitated incident and crisis exercises across multiple levels of complexity, building scenarios that are realistic and instructive - Communicate exceptionally well in writing and in person, including developing and delivering executive briefings during active incidents - Build trusted partnerships quickly across a wide range of internal stakeholders - Manage multiple active workstreams under time pressure with minimal oversight - Thrive in fast-moving, ambiguous environments and bring a continuous improvement mindset to everything you build - Are available for on-call support and flexible hours, including nights and weekends, during crisis events - Are open to occasional international travel Strong Candidates May Also Have - Experience applying NIMS/ICS in a corporate or hybrid environment - Experience in the technology sector, particularly supporting crisis management for cloud-native or AI-driven organizations - Professional certifications such as CEM, CBCP, MBCI, or equivalent - Working knowledge of ISO 22361, ISO 22301, and related resilience standards and frameworks - Hands-on experience with crisis management platforms and mass notification tools (e.g., Everbridge, Veoci, OnSolve) - A background in developing crisis communications strategies and stakeholder messaging frameworks 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: $180,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Revenue Accounting - Deal Desk & Technical...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. As we scale, our revenue is growing extremely quickly, our commercial agreements are getting more complex, and the related systems and controls need to keep pace. We are looking for a Head of Revenue Accounting, Deal Desk & Technical Accounting to own the accounting judgments behind that growth — the technical positions we take, the deals we approve, the disclosures we produce, the revenue systems that process it all, and the controls that make it dependable. You will act as the company's authority on complex revenue accounting questions. That includes developing our revenue recognition policies, leading enhancements to our revenue system, as well as designing, implementing, and operating our internal controls. You will set the bar for how much of this work Claude can do, so your team spends its time on key judgments rather than mechanics. Much of this role's impact comes through influence rather than authority. You'll shape deals before they're signed by getting to Sales and Legal early with a point of view on structures, and you'll shape our systems roadmap by advocating to engineering and systems partners for automation. This is a role for someone who can enable deal and business velocity while maintaining appropriate controllership. Key responsibilities - Own technical accounting. Serve as the company's authority on complex revenue recognition matters — researching, concluding, and documenting positions in clear, well-reasoned memos, and explaining those conclusions to internal stakeholders and external auditors. - Own the deal desk from accounting. Own our contract approval policy and its execution: define the accounting guardrails for non-standard terms, serve as the accounting approver in deal review, and partner with Sales and Legal to structure agreements that work commercially while maintaining appropriate controllership. - Influence deal structures before they're signed. Build the credibility and relationships to shape how deals and programs are constructed rather than reacting to them — getting to Sales, Legal, and Finance early with a clear point of view, and making the accounting case in commercial terms that decision-makers can act on. - Lead financial reporting and disclosure. Lead preparation of revenue related footnotes and technical disclosure positions, and build toward public-company reporting readiness. - Lead the revenue system enhancements. Own the ongoing roadmap of our revenue system — requirements, design, testing, cutover, and post-launch optimization — partnering with Finance Systems. - Influence the systems and automation roadmap. Advocate with engineering and system partners for the automation your team needs, translating accounting requirements into system priorities and building the working relationships that get them sequenced and shipped. - Design and implement internal controls. Build controls over financial reporting for revenue and technical accounting processes, including documentation, testing, remediation, and audit support. - Build scalable processes. Design well-documented processes that hold up as transaction volume and deal complexity multiply, replacing manual effort with automation. - Apply Claude to the team's work. Utilize Claude to streamline processes, including accelerating research, drafting memos, reviewing contracts, and preparing reconciliations and disclosures. - Enable growth while maintaining controllership. Partner across Sales, Finance, Legal, and systems teams to support new products, pricing models, and go-to-market motions, and advise leadership on accounting implications before decisions are made. - Lead and grow the team. Set priorities, mentor the team, and raise the technical bar as the team scales. Minimum qualifications - A track record of leading and developing a high-performing accounting team. - Deep expertise in revenue recognition under ASC 606 for software, subscription, or consumption-based business models. - Personal ownership of complex technical accounting research — writing position memos, defending those conclusions with external auditors, and preparing the resulting disclosures under US GAAP. - Experience designing, implementing, and operating internal controls over financial reporting, including documentation and testing. - Demonstrated ability to influence non-accounting stakeholders — shaping commercial deal and program structures with Sales and Legal, and shaping automation priorities with systems teams. - Experience owning a revenue or billing platform (Zuora or comparable), either as implementation lead or as the accounting owner of its roadmap. - CPA or an equivalent professional accounting qualification. Preferred qualifications - Public company experience, or experience preparing a high-growth company for public reporting and SOX 404 compliance. - Background at a national or Big Four firm. - Experience with consumption-based, usage-based, or hybrid revenue models, particularly in AI, cloud, or infrastructure. - Experience using large language models or AI tooling to automate accounting, contract review, or controls work. - Experience standing up or overhauling a deal desk approval process. - Hands-on Zuora implementation or operation experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of International Order-to-Cash
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 building Anthropic's international order-to-cash function from Dublin, and we are looking for the person who will own it end to end; order management, credit and collections, and the statutory compliance work. You will be the single accountable owner of how international orders convert to cash, from the moment a deal is booked to the moment the invoice is issued and collected. Reporting to the Global Order to Cash leader, you will partner closely with US based and International stakeholders to provide exceptional service to our internal and external customers. What you'll do - Own the international order-to-cash flow, end to end. Everything from a booked order through a valid, issued invoice, and everything after it through cash collected. You will own the operational system that produces booking accuracy, invoice accuracy and on-time issuance, DSO, past due, and bad debt for international. - Build and lead the International team. You will hire three pillar leads and grow the international teams beneath them to scale globally. - Stand up the statutory compliance pillar. E-invoicing protocols, local entity requirements, indirect tax obligations, and the documentation of the workflow as you build it. - Partner with stakeholders and global teams to design the quote-to-cash automation. You will be a key partner in designing and implementing automation across the international quote-to-cash lifecycle, developing the operational metrics that show you where the bottlenecks are, and own the requirements when we select or replace systems. - Develop the strategy and lead international operational readiness for new products and markets. - Establish the controls. Segregation of duties, SOX-aligned controls over international transactions, audit support, and process documentation that reflects how the work is actually done. - Partner across the company. Revenue Accounting, Go-to--Market, Legal, Tax, Billing Engineering, and Finance Systems all touch these processes. You may be a good fit if you - Have led an order-to-cash, billing, or revenue operations function through a period of real growth, with accountability for both the order side and the collections side of the process. - Have managed managers, and can describe what changed about how you worked when your team stopped reporting to you directly. - Have built processes where none existed, rather than optimizing a process someone else designed. - Understand SaaS quote-to-cash across both subscription and consumption\-based commercial models, and can explain why the difference matters operationally. - Have worked with statutory e\-invoicing regimes, local entity requirements, or indirect tax obligations across multiple European jurisdictions, and know how quickly that landscape moves. - Have owned collections outcomes (DSO, aging, bad debt, etc) and have made a credit decision that turned out to be unpopular and correct. - Have designed controls and segregation of duties, and supported an external audit through them. - Are hands-on with contracting systems, billing platforms, and ERP systems, and are comfortable being the person who understands the data rather than the person who asks for a report. - Can hold a boundary. Much of this role is deciding who owns a decision and then defending that answer under pressure. Strong candidates may also have - Working knowledge of ASC 606 revenue recognition principles, and enough fluency to know when to escalate to Revenue Accounting. - Experience with third-party cloud marketplace operations (AWS, GCP, or Azure) including private offers and pricing configuration. - Experience standing up a finance operations function in a new geography or legal entity. - Direct partnership experience with engineering and go-to-market teams, and the ability to influence at the leadership level to drive operational execution with a high degree of compliance at a low cost. - Data-driven process design instincts; and the willingness to look at the data yourself - Experience mentoring operations staff into their first management roles. Education: We require at least a Bachelor's degree in a related field, or equivalent experience. Location: This role is based in our Dublin office. All three of this leader's direct reports will be Dublin\-based, and we expect this leader to be as well. Currently, we expect all staff to be in one of our offices at least 25% of the time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €220.000 - €220.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.
Head of GovTech Sales
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Head of GovTech Sales at Anthropic, you’ll lead and scale our GovTech sell-to sales organization to drive adoption of safe, frontier AI across the public sector partner ecosystem—including Systems Integrators (SIs), Defense Industrial Base (DIB) contractors, and GovTech including ISVs, startups, SMBs that primarily serve the public sector. You’ll leverage your deep understanding of the federal partner landscape and proven sales leadership to build a high-performing team while maintaining executive-level relationships with C-suite leaders at the nation’s largest SIs and DIB primes. Working closely with GTM, product, and marketing teams, you’ll define and execute our go-to-market strategy for selling to and through public sector partners while maintaining the highest standards of security and compliance. Responsibilities: • Build, lead, and scale a GovTech sales team, including hiring top talent, setting clear performance expectations, and providing coaching and development • Develop and execute go-to-market strategies for selling directly to Systems Integrators, DIB primes, and GovTech ISVs—including market segmentation, competitive positioning, and revenue forecasting • Own GovTech revenue targets and ensure team performance against quotas, while providing visibility into pipeline health and deal progression across the partner segment • Establish and cultivate C-suite and senior executive relationships at major SIs and DIBs, serving as Anthropic’s senior point of contact for strategic partner engagement • Win new business by helping SIs with prime contracts integrate AI into their technology stacks and consulting practices to differentiate their offerings, accelerate delivery, and integrate into government customer workloads. • Establish and refine sales processes, methodologies, and playbooks specific to GovTech segment. • Build and manage strategic relationships with cloud service providers (AWS, GCP) to align technical and commercial aspects of partner deals and create scalable go-to-market motions • Synthesize market feedback and customer insights to inform product roadmap and competitive strategy, working closely with product and marketing teams • Partner with legal, compliance, and delivery teams to ensure successful contract execution and customer satisfaction across the GovTech ecosystem • Implement metrics, reporting, and performance management systems to drive team accountability and continuous improvement across the partner sales organization • Represent Anthropic at industry events, partner summits, and with key stakeholders, establishing our brand as the trusted AI partner for GovTechs You may be a good fit if you have: • 10+ years of enterprise sales experience with 4+ years managing sales teams selling directly to SIs, DIBs, and GovTech ISVs, with a proven track record of scaling revenue and building high-performing organizations • Demonstrated ability to build, maintain, and leverage C-suite and senior executive relationships at major SIs, DIB primes, and GovTech companies—with an existing network of contacts across the federal partner ecosystem strongly preferred • Deep understanding of SI and DIB business models, buying processes, technology evaluation criteria, and how partners operate within federal procurement frameworks • Demonstrated ability to hire, develop, and retain top sales talent while creating a culture of performance and accountability • Experience developing and executing go-to-market strategies for emerging technologies sold to and through public sector partners • Extensive experience with federal contracting vehicles, procurement mechanisms, and compliance requirements including FAR/DFAR, FedRAMP, and agency-specific security standards • Strong track record of consistently exceeding team revenue targets and building predictable, scalable sales motions in a partner-driven model • Proven ability to build and manage strategic channel partnerships and ecosystem relationships, including coordination with cloud providers in complex deal scenarios • Strong technical acumen with the ability to engage credibly with partners’ engineering teams and navigate complex technical sales conversations • Security clearances preferred • Excellent communication and relationship-building skills across all levels, from technical teams to C-suite and senior executive leadership at partner organizations • Experience implementing sales methodologies, CRM systems, and performance management processes • A passion for safe and ethical AI development, with the ability to articulate its value and importance in government contexts to build trust with federal partner stakeholders 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: $435,000 - $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Deal Desk - International
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 Deal Desk sits at the center of how we turn commercial intent into signed, bookable business. As demand for Claude grows across every region, the deals themselves are getting larger, more structured, and more consequential — and the desk is what keeps them moving quickly without sacrificing pricing discipline, deal quality, or clean handoffs downstream. We already run this well in the Americas. This role builds and leads the equivalent outside it. You'll own Deal Desk for our international business — EMEA and APAC — and lead a team of three. You'll be the commercial partner sales teams come to when a deal doesn't fit the standard shape: multi-year and consumption structures, non-standard pricing and discounting, complex commit and ramp terms, and the approvals that go with them. You'll make those deals faster to close and cleaner to book, and you'll be the point where regional nuance meets a consistent global standard rather than fragmenting away from it. You'll partner closely with the global Deal Desk lead to keep one operating model across regions, while adapting it to the realities of selling in markets with different currencies, tax and entity structures, and buying norms. Internally you'll work shoulder to shoulder with Sales, Revenue Operations, Revenue Accounting, Legal, and Finance — translating between what the field needs to win and what the business needs to book cleanly. When those interests pull in different directions, you're often the person who resolves it. This is a foundational role: you'll establish how Deal Desk operates across our international regions, and you'll hire, develop, and scale the team that runs it. If you want to build the commercial engine for a business growing this fast, in the regions where much of that growth is still ahead of us, this is the seat. Key responsibilities - Own Deal Desk for Anthropic's international business across EMEA and APAC — the operating model, the team, and the outcomes - Lead, hire, and develop a team of three, and scale it as the international business grows - Serve as the commercial partner to international sales teams on complex and non-standard deals, including pricing, discounting, multi-year and consumption structures, commit and ramp terms, and deal structuring - Own the deal approval and review process for the region — clear thresholds, fast turnaround, and the right escalation paths — so that speed and pricing discipline aren't traded off against each other - Partner with the global Deal Desk lead to maintain one consistent operating model across regions, adapting it to regional currency, tax, entity, and buying-norm differences rather than fragmenting from it - Act as the validation point between deal creation and order management, ensuring quotes and signed order forms are structured to book cleanly and provision correctly - Work across Revenue Operations, Revenue Accounting, Legal, and Finance to resolve the trade-offs that non-standard deals create, and to close gaps between what closes a deal and what books correctly - Own the quality of Deal Desk inputs in Salesforce and CPQ for the region, and drive the process and tooling improvements that let the desk scale without adding friction - Establish the metrics that show the desk is working — cycle time, approval turnaround, deal quality, and downstream booking accuracy — and hold the team to them Minimum qualifications - Are excited about Anthropic's mission to develop AI that is safe and beneficial - Work effectively in fast-moving environments with high ambiguity, and are comfortable building process where little exists yet - Have led a Deal Desk, deal management, or revenue operations function, and have structured complex, non-standard commercial deals directly - Have managed people, and can hire, develop, and grow a team - Understand the mechanics of deal structuring — pricing, discounting, multi-year and consumption models, commit and ramp terms — and the approval frameworks that govern them - Have worked across Sales, Legal, Finance, and Revenue Accounting to move deals from quote to signed, bookable order - Are fluent in the tooling of a modern GTM stack, including Salesforce and CPQ - Communicate clearly and credibly with both field sales and internal control functions, and can resolve competing interests between them Preferred qualifications - Extensive experience running Deal Desk or revenue operations across international markets, ideally spanning both EMEA and APAC - Have built or materially scaled a Deal Desk function, rather than only inheriting and running one - Familiarity with the operational realities of selling internationally — multi-currency, multi-entity, and varied tax and invoicing requirements - Experience with quote-to-order and order management processes and the handoffs between them - Exposure to CPQ platforms such as nue.io, and to the systems and data that connect quoting to booking - Have worked at a company that scaled significantly during your tenure, particularly through a period of rapid international growth - Understanding of how enterprises evaluate and buy AI products, and how that shapes commercial structures The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £285,000 - £285,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Deal Desk - International
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 Deal Desk sits at the center of how we turn commercial intent into signed, bookable business. As demand for Claude grows across every region, the deals themselves are getting larger, more structured, and more consequential — and the desk is what keeps them moving quickly without sacrificing pricing discipline, deal quality, or clean handoffs downstream. We already run this well in the Americas. This role builds and leads the equivalent outside it. You'll own Deal Desk for our international business — EMEA and APAC — and lead a team of three. You'll be the commercial partner sales teams come to when a deal doesn't fit the standard shape: multi-year and consumption structures, non-standard pricing and discounting, complex commit and ramp terms, and the approvals that go with them. You'll make those deals faster to close and cleaner to book, and you'll be the point where regional nuance meets a consistent global standard rather than fragmenting away from it. You'll partner closely with the global Deal Desk lead to keep one operating model across regions, while adapting it to the realities of selling in markets with different currencies, tax and entity structures, and buying norms. Internally you'll work shoulder to shoulder with Sales, Revenue Operations, Revenue Accounting, Legal, and Finance — translating between what the field needs to win and what the business needs to book cleanly. When those interests pull in different directions, you're often the person who resolves it. This is a foundational role: you'll establish how Deal Desk operates across our international regions, and you'll hire, develop, and scale the team that runs it. If you want to build the commercial engine for a business growing this fast, in the regions where much of that growth is still ahead of us, this is the seat. Key responsibilities - Own Deal Desk for Anthropic's international business across EMEA and APAC — the operating model, the team, and the outcomes - Lead, hire, and develop a team of three, and scale it as the international business grows - Serve as the commercial partner to international sales teams on complex and non-standard deals, including pricing, discounting, multi-year and consumption structures, commit and ramp terms, and deal structuring - Own the deal approval and review process for the region — clear thresholds, fast turnaround, and the right escalation paths — so that speed and pricing discipline aren't traded off against each other - Partner with the global Deal Desk lead to maintain one consistent operating model across regions, adapting it to regional currency, tax, entity, and buying-norm differences rather than fragmenting from it - Act as the validation point between deal creation and order management, ensuring quotes and signed order forms are structured to book cleanly and provision correctly - Work across Revenue Operations, Revenue Accounting, Legal, and Finance to resolve the trade-offs that non-standard deals create, and to close gaps between what closes a deal and what books correctly - Own the quality of Deal Desk inputs in Salesforce and CPQ for the region, and drive the process and tooling improvements that let the desk scale without adding friction - Establish the metrics that show the desk is working — cycle time, approval turnaround, deal quality, and downstream booking accuracy — and hold the team to them Minimum qualifications - Are excited about Anthropic's mission to develop AI that is safe and beneficial - Work effectively in fast-moving environments with high ambiguity, and are comfortable building process where little exists yet - Have led a Deal Desk, deal management, or revenue operations function, and have structured complex, non-standard commercial deals directly - Have managed people, and can hire, develop, and grow a team - Understand the mechanics of deal structuring — pricing, discounting, multi-year and consumption models, commit and ramp terms — and the approval frameworks that govern them - Have worked across Sales, Legal, Finance, and Revenue Accounting to move deals from quote to signed, bookable order - Are fluent in the tooling of a modern GTM stack, including Salesforce and CPQ - Communicate clearly and credibly with both field sales and internal control functions, and can resolve competing interests between them Preferred qualifications - Extensive experience running Deal Desk or revenue operations across international markets, ideally spanning both EMEA and APAC - Have built or materially scaled a Deal Desk function, rather than only inheriting and running one - Familiarity with the operational realities of selling internationally — multi-currency, multi-entity, and varied tax and invoicing requirements - Experience with quote-to-order and order management processes and the handoffs between them - Exposure to CPQ platforms such as nue.io, and to the systems and data that connect quoting to booking - Have worked at a company that scaled significantly during your tenure, particularly through a period of rapid international growth - Understanding of how enterprises evaluate and buy AI products, and how that shapes commercial structures The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €295.000 - €295.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.
Head of Content & Curriculum, Education
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 AI capabilities are advancing faster than most people can adapt. The gap between what Claude can do and what people know how to do with it widens with every model release. Closing this gap before the window for thoughtful adoption narrows is core to our mission. The content & curriculum team sits at the heart of that mission. This isn’t docs, and it isn’t traditional courseware either. We’re building a library of educational content and experiences that can be delivered to each learner at the precise moment they need it, teach them effectively, and keep learning engaging. And we want to scale it with Claude (and, hopefully, you!) You'll own the education team’s content end to end—every audience (developers, consumers, enterprise admins, the general public) and every format (courses, tutorials, video, interactive experiences). Your obsession is the learner: does this actually empower people to use AI intentionally, is it the clearest version of itself, and are we proud of it? You'll manage a team of content strategists, plus the media designers, agencies, and agents who support them. Working hands-on with Claude is part of how content gets made here: you and your team will design the workflows and standards that determine where and how AI can accelerate drafting, review, and maintenance, and determine where human craft is non-negotiable os that the team so that the team can move faster without lowering the bar. Where that line sits, and how it moves as models improve, is yours to figure out. This isn't a traditional catalog you maintain. Models improve, audiences grow, and the best version of what you ship today won't be the best version six months from now. You’re building a content library that evolves in real time with Claude. Your goal is learning that adapts to each person and scales far past what any team could produce by hand, without ever giving up the quality bar that makes it worth learning from. The most exciting version of this role encodes its own craft into AI-powered systems rather than guarding it. Key responsibilities - Own the content and how well it teaches across every audience and format - Set and defend the quality bar for scaled education. Define what "great" means precisely enough that the team can hit it without you in the room - Push the medium forward: design learning that's beautiful, distinctive, interactive, and increasingly personalized, not templated courseware - Design and run the content production system (intake, prioritization, drafting, review, launch) at the cadence of model and product launches - Shape how Claude is used in production —the frameworks and standards that let AI accelerate output while keeping it excellent - Manage and develop the audience leads and media designers; play a key role in the education team’s growth and org design - Own learning measurement: how we know content is teaching, and how that feeds back into how we make it - Take us to the next stages of reach —localization, globalization, new audiences—and own the strategy and execution for getting there You might be a good fit if - You have genuine taste, and it's the first thing you bring. You can't walk past a clumsy explanation or a boring course. This matters more than anything else here - You've led a content, curriculum, or education function at scale, including managing leads, and you develop people as well as you do the craft - You’ve led teams through significant changes in pursuit of an audacious vision, and brought people along rather than leaving them behind - You build systems across many varied, cross-functional partners (product, engineering, marketing, design, agencies, subject matter experts) and coordinate them as one production engine rather than a chain of handoffs - You've produced learning across formats —written, video, interactive—and you know when to deploy each for maximum effect and efficiency - You've built and run technical curriculum before, and know what it takes to teach developers working in the field; at a minimum you can read code, you know what good looks like, and you can coach your technical team members through teaching complex topics - You're rigorous about measurement and grounded in learning science . You define what "working" means in a learning context, instrument for it, and act on what you find - You've produced content with Claude yourself, have real intuition for what to trust it with versus what still needs a human, and can continuously evaluate that line as models improve - You're energized by scaling your own craft . Encoding your taste into systems and workflows that produce far beyond what your own hands could genuinely excites you, and you embrace scaling the work with Claude rather than guarding it - You're comfortable that today's best content has a short shelf life, and you design for durability and fast regeneration rather than perfecting artifacts that models will outdate - You have a thesis about what teaching becomes when every learner has an adaptive AI tutor, and you're here to build that, not a better version of the old thing - You're a strong writer and editor who translates technical concepts without dumbing them down - Experience at a high-growth technology company (or somewhere with that pace) where product and audience considerations shift frequently, and often faster than plans do - You’re a collaboration magnet who is able to build strong relationships across many functions and teams in service of a single mission. Strong candidates may also have - Experience teaching advanced AI/ML topics to both technical and non-technical audiences - Experience building AI-assisted production workflows for content, media, or other creative work, and a point of view on where and how they break down and need human involvement and oversight - Experience designing interactive or adaptive learning products , such as tutoring systems, simulations, hands-on environments, not just linear courses What makes this role exciting - Define great teaching for the AI era . You'll set what it looks like in a world where AI is part of how content gets made - Pivotal moment, massive reach . Your work shapes how millions of people come to understand and use Claude and AI in general 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 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Consolidations & Intercompany
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 an AI safety and research company working to build reliable, interpretable, and steerable AI systems. As we scale, our corporate structure and the flows between our entities are growing more complex. We are looking for a Head of Consolidations & Intercompany to own and expand the consolidation program and the group-level intercompany framework — partnering closely with the Head of Corporate Accounting on the strategic direction of this pillar. This is a builder's role. You will come in, get your hands dirty, design the process, document the flows, and then codify and scale it — building out a team to run it consistently. You will be a player-coach first: doing the work, then writing the operating procedures and hiring against them. Key responsibilities - Own the consolidation program. Design and run the multi-entity, multi-currency consolidation process in our system of record (Workday), driving a repeatable, scalable close. - Expand the intercompany framework. Architect a group-level intercompany framework — elimination logic, transaction-flow documentation, and sources of truth — designed to absorb new entities and acquisitions. - Scale Allocations framework - design and implement a scalable allocation model across the organization - Advise and consult on corporate structure. Partner with the business, tax, and legal on org structures and transaction flows; advise on optimal structuring that serves close and reporting needs, and bring clarity where ambiguity exists through flow diagrams and a single source of truth. - Streamline intercompany operations. Rationalize pay-on-behalf-of and collect-on-behalf-of structures; redesign and automate the cost-allocation process. - Partner with tax and treasury. Work with tax on transfer-pricing operationalization; co-own FX policy and operating procedures and partner with treasury to optimize payment flows and reduce FX exposure. - Set the vision and build the team. Partner with the Head of Corporate Accounting on strategic direction for the pillar, and build out the consolidation and intercompany team to run efficiently and consistently. Minimum qualifications - Personal, end-to-end ownership of a multi-entity, multi-currency consolidation close in a system of record, at real entity scale. - Demonstrated experience building a repeatable intercompany framework from scratch — not maintaining an inherited one. - Track record of building structure where none existed; comfortable operating lean and resolving ambiguity into sources of truth. - The seniority and confidence to own pillar-level direction, operate as a player-coach, and codify and hand off via SOP while hiring a team. Preferred qualifications - Workday Financial Consolidation experience, or strong ERP implementation and design experience transferable across platforms. - Substantive partnership with tax on transfer pricing and with treasury on FX policy and payment-flow optimization. - Experience through an acquisition-heavy period, integrating acquired entities into a group framework. - System-specific Workday configuration (transferable from any major consolidation 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: $300,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Applied AI Architecture, Beneficial Deploy...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead the team of Applied AI Architects who serve as the primary technical partners to mission-driven organizations and non-profits adopting Claude. You'll build and scale a world-class, globally distributed team that turns frontier AI into real impact in education, global health, economic mobility, and life sciences—while shaping how Anthropic's most important societal partnerships are designed and delivered. You'll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types—from global health foundations to leading research institutions to frontline nonprofits. You'll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organizations operating as AI-native, and you'll be accountable for the team, processes, and cross-functional relationships that make that possible. In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organization, you'll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You'll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards. Responsibilities - Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences - Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments—from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure - Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence - Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships - Drive the design of cohort-based accelerators, Claude Code enablement programs, and other scalable mechanisms that multiply our impact across many organizations simultaneously - Identify patterns across partners and segments to inform what we build at the ecosystem level—MCPs, evals, reference implementations, and shared infrastructure - Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves - Represent Anthropic externally with senior leaders at foundations, nonprofits, research institutions, and government-adjacent organizations - Travel to partner sites globally for workshops, technical deep dives, and relationship building - Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic - Travel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments. You may be a good fit if you have - 10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments - 7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally - Experience working with or inside mission-driven organizations—education, healthcare, scientific research, global development, or nonprofits—and a genuine understanding of the constraints, incentives, and operating realities of these sectors - Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python - A track record of building teams in ambiguous, fast-moving environments, and comfort wearing multiple hats as the team scales - Strong executive presence and the ability to foster deep, trusted relationships with senior partner leadership - Excellent communication, collaboration, and coaching abilities, with a love of teaching and helping others succeed - The ability to think holistically, identify core principles that translate across scenarios, and make ambiguous problems clear - A passion for making powerful technology safe and societally beneficial, and for thinking creatively about risks and benefits beyond existing playbooks Strong candidates may also have - Experience leading globally distributed teams across time zones and regions - Background in philanthropy, global health, education technology, or scientific research - Experience designing cohort-based or programmatic delivery models that scale technical expertise across many organizations - A working understanding of emerging research in agents, evaluations, and AI safety About the team Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor for the people and institutions working on humanity's hardest problems. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of APAC Accounting
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 APAC Accounting Lead to build and run our regional Corporate Accounting function. This is the senior Controllership role for Asia Pacific, owning end-to-end accounting and finance operations for all APAC legal entities across Statutory Accounting and External Reporting, International Payroll, Procure to Pay, and regional Finance Systems. Reporting to the Head of International Accounting in Dublin, you will set the multi-year strategy for how we scale our financial control environment across the region, build and lead the team that delivers it, and act as the senior finance point of contact for APAC entity boards, external auditors, and outsourced service providers. This is a rare opportunity to define how a frontier AI company runs Controllership across one of its fastest-growing regions, with a mandate to use Claude and AI tooling to reimagine how regional accounting work gets done. The successful candidate will be comfortable operating as a hands-on regional controller in the near term while designing the organisation, processes, and systems required to support a rapidly expanding entity footprint. Responsibilities Regional Controllership and Operations - - Own the APAC Corporate Accounting function end to end and be accountable for the accuracy, timeliness, and control of all regional financial reporting - Own statutory financial statements, local audits, board reporting, and corporate secretarial filings for all APAC legal entities, acting as the primary relationship owner for external auditors - Be accountable for the APAC month-end close and consolidation into the global group, including journals, intercompany, reconciliations, and flux review - Own regional execution of the intercompany and transfer pricing operating model in partnership with global Tax - Own regional delivery of International Payroll and Procure to Pay in partnership with the global functional leads, and own the associated regional control framework - Own regional regulatory and statistical reporting obligations, acting as the regional finance point of contact for local statutory authorities in partnership with Legal and Compliance Team Building and Leadership - - Build, lead, and develop a high-performing regional accounting and finance operations team across multiple APAC locations - Define the regional organisation design and hiring plan as the entity footprint grows, and own the business case for incremental headcount - Manage the regional outsourced accounting, payroll, and Procure to Pay provider relationships, including the transition path between outsourced and in-house delivery Systems, Controls, and AI - - Partner with global Finance Systems on the regional deployment and continuous improvement of the core finance platform stack, owning regional requirements, data integrity, and user acceptance - Design and operate the regional internal control framework and prepare the region for evolving controls requirements. - Drive automation and the adoption of Claude and AI tooling across APAC accounting processes in a controlled, audit-ready manner Strategic Partnership - - Set the vision and multi-year roadmap for APAC accounting operations and partner with global Controllership and CAO leadership to align this with the global plan - Act as the senior APAC Controllership partner to regional General Managers, Country Managers, and functional leaders, and represent the function externally with Big 4 audit and advisory firms and regional finance networks - Partner with global Tax and Treasury on direct and indirect tax compliance (including GST and withholding taxes), regional cash management, funding, and capital repatriation - Lead accounting and finance operations readiness for new APAC entity launches, partnering with Legal, Tax, Treasury, People, and GTM You may be a good fit if you - Have 15+ years of progressive accounting and controllership experience, including 5+ years as a regional or group controller in a US-headquartered or global multinational - Are a qualified accountant (CPA, CA, ACCA, or equivalent) with a bachelor’s degree in Accounting, Finance, or equivalent practical experience - Have a demonstrated track record of building and leading multi-country accounting teams, including hiring, developing, and managing managers - Have owned statutory accounting and external audit at a regional or group level, plus at least one of international payroll, procure to pay, or finance systems - Possess deep knowledge of US GAAP and IFRS and working knowledge of local statutory and regulatory frameworks across multiple APAC jurisdictions - Are experienced in designing and operating month-end close, consolidation, intercompany, and balance sheet reconciliation processes at scale - Are proficient in enterprise ERP and finance systems (for example NetSuite, Workday Financials, SAP, Oracle), with experience driving regional implementations - Communicate with clarity and credibility to senior leadership, audit committees, and local boards, and are comfortable representing Controllership externally - Operate with high ownership and sound judgement in ambiguous, fast-scaling environments, moving between strategic planning and hands-on execution as required Strong candidates may also - Have built a regional accounting or shared services function from an early stage at a high-growth technology company - Have experience standing up new legal entities and bringing them to operational and reporting readiness across multiple APAC markets - Have led or materially contributed to evolving controls requirements and internal controls transformation programmes - Bring experience with international payroll and equity compensation in APAC - Have led ERP or finance systems implementations as the regional business owner - Have an established Big 4 or advisory network in the region - Show passion for Anthropic’s mission and enthusiasm for using AI tools to drive automation and process improvement Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Hardware Systems Architect
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 trains and serves frontier AI models on some of the largest and most diverse accelerator fleets in the world, and the hardware those models run on is one of the most direct levers we have on capability, cost, and reliability. Our Hardware Systems team owns the system-level architecture of that compute — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface. We're hiring senior hardware systems architects and technical leads who can work broadly across the hardware stack and go deep where it's needed, and who have the judgment to make and own directional calls — what to build, what to buy, what to co-design with a partner. You'll set architecture, write the specs that partners and internal teams build against, and own the validation and qualification strategy that proves the result. The skillsets we need span power, cooling, mechanical, interconnect, signal integrity, data and control plane, system management, reliability and serviceability — applied across networking, compute, storage, and accelerator systems. You'll work closely with our ML performance, infrastructure software, supply chain, and datacenter teams, and directly with hardware vendors and partners across the stack. And because this is Anthropic, you'll have Claude as a genuine collaborator — we expect this team to push on what AI-assisted hardware design and review can look like. Key responsibilities - Own system path-finding and architecture for your domain across the breadth of compute Anthropic deploys — from concept and requirements through spec, design review, and deployment — and act as a reviewer and thought partner across the others. - Write and own high-level requirements and specifications — system, board, interface, rack — that partners and internal teams build against. - Review partner and vendor designs against our requirements, make the build / buy / co-design calls with supply chain and partnership teams, and surface misalignment or schedule risk early enough to act on it. - Drive the interconnect and networking architecture that ties our systems together — scale-up and scale-out fabrics, NICs and switches, optics, and topology. - Drive board-, chassis-, and system-level architecture with our partners — major component placement, PCB architecture, connector and cable design, and power and thermal budgeting — at the chassis, rack, and data-hall level. - Develop performance simulations, hardware models, and "what-if" scenarios to evaluate and choose between candidate hardware architectures. - Define validation, bring-up, and qualification strategy for new platforms — including the telemetry and reliability targets they need to hit in the fleet — and track the technology roadmaps and vendor landscape that shape what we deploy in the short and long term. - Partner with ML performance and infrastructure software teams so hardware decisions land well for the workloads that actually run on them. - Help shape how hardware engineering operates at Anthropic — develop and apply AI-assisted approaches to design, spec review, and validation; establish review forums, spec standards, and partner engagement. Minimum qualifications - Deep, hands-on expertise in at least one core hardware-systems domain (e.g., interconnect, power, thermal) for large-scale compute or networking systems. - Experience owning hardware system architecture at scale — machine, rack, row, and cluster — and authoring specifications and requirements. - Experience taking hardware from architecture through bring-up and high-volume production deployment. - Experience working with external hardware vendors and partners — reviewing their designs and holding them to a specification. - Ability to reason about trade-offs across adjacent hardware domains (e.g., interconnect ↔ power ↔ thermal ↔ mechanical) rather than within a single one. - Track record of technical leadership — owning directional decisions and their consequences, and driving alignment across teams and partners. - Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment. - Strong written communication — you'll write specs and reviews that many teams depend on. Preferred qualifications - 8+ years in hardware systems architecture or engineering for hyperscale, HPC, AI/ML, or high-end networking platforms. - Experience with AI accelerator systems (GPU, TPU, or other custom ASIC platforms) and their scale-up / scale-out fabrics. - Familiarity with the chip-package-system interface and co-design. - Experience establishing a new function, program, or engineering practice. - Comfort working with — and curiosity about pushing — AI tools as part of an engineering workflow. - Degree in EE, CE, ME, CS, or a related field, or equivalent experience. - Depth in one or more of: - High-speed SerDes, PCIe/CXL, Ethernet/InfiniBand, and optical interconnect. - BMC and platform firmware, hardware root of trust, and secure boot. - 48V/HVDC power delivery and direct liquid cooling. - Fleet-scale reliability engineering and RAS architecture. - Signal and power integrity. Representative projects - Define the scale-up and scale-out interconnect architecture for a next-generation training platform, from link budget and topology through switch / NIC / optics selection and the bring-up and validation plan. - Architect the management and control plane for a new hardware system: BMC and host control, power / reset sequencing, secure boot and attestation, and the telemetry surface the fleet needs. - Own the rack-level power and thermal architecture for a liquid-cooled accelerator rack, and the interface spec between that rack and the datacenter that hosts it. - Build the reliability model and RAS strategy for a multi-thousand-node fleet — failure budgets, derating policy, telemetry requirements, and serviceability targets — and drive the design changes that hit them. - Run the technical evaluation of a partner's proposed system design against our requirements, write up where it falls short, and drive the changes end to end. - Prototype an AI-assisted workflow for partner design review and spec consistency checking, and put it to work on a live 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: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.
Hardware Lab Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Foragers is a new Field Services team within our physical infrastructure organization. We're the boots on the ground for Anthropic's physical infrastructure: the people who get hardware into racks, gear commissioned, and sites handed over. The team is being stood up now, so early hires shape how we operate. This role is the lab-focused counterpart to our traveling field engineers. Instead of covering sites across the country, you own our Bay Area hardware labs from end to end. About the Role Your mission is to ensure our hardware labs are functional, useful, and ready to support the growing number of teams and projects that need access to physical hardware. You’d own what shows up, how it’s powered, cooled, cabled, tracked, set up, and made functional. This includes both standard hardware (think typical accelerator setups) and more specialized ones like ensuring our security teams have access to all the right headers and other hardware instrumentation on the machines. Understanding and anticipating the needs of the various teams that rely on the labs will be another critical part of this role. You’ll be expected to take a lot of ownership and initiative over the lab and what’s in it, including reaching out to partner teams to figure out what they’d need in the future and making sure it’s there before it starts to block them. This will require you to collaborate closely with those partner teams, so a breadth of knowledge around hardware is extremely useful. You’d be the first dedicated lab manager, so part of this role will include shaping it to scale from our current lab to much larger ones. What You’ll Do - Run the physical lab across both sites: receiving and staging, rack-and-stack, cabling, power distribution and load planning, cooling, floor layout - Bring up new server and accelerator platforms as they arrive, from crate to a machine someone can SSH into: firmware and BIOS/UEFI setup, out-of-band management, OS install, network provisioning - Own hardware procurement for the lab: work with teams on what's coming, order ahead of need, chase quotes and lead times, keep receiving and inventory in order - Own RMA processes end-to-end for lab hardware: triage, swap, ship, track, close; drive vendor escalations - Build the one-off setups engineers ask for: debug and programming harnesses (JTAG/SWD/UART), remote power switching, console and KVM access, and the occasional improvised fix for hardware running outside the conditions it was designed for - Oversee smarthands and contractor work on-site (electricians, cabling crews, riggers, integrators, OEM field engineers): scope it, dispatch it, validate the quality - Handle physical access, asset auditing, and lifecycle tracking for hardware that is expensive and sometimes pre-release - Write it down: build the playbooks and lightweight tooling (inventory, remote power, console access) so remote teams can use the lab without pinging you for every step Who You Are - Hands-on experience running a hardware, systems, or datacenter lab, or a similar physical compute environment: rack-and-stack, copper and fiber cabling, power distribution (PDUs, circuits, phase balancing) - Working knowledge of server hardware and its management plane: BMC/IPMI/Redfish, BIOS/UEFI configuration, serial console, PXE/network boot, firmware updates - Enough Linux and networking (VLANs, DHCP, DNS, basic switch config) to take a bare machine to a state a remote engineer can use - Have managed vendors, contractors, quotes, and freight for physical equipment - Comfortable and safe with power tools, bench power supplies, and a wiring or rack elevation diagram - Work independently with minimal supervision , and know when to ask - Bias toward action and comfort with ambiguity: you'd rather move and adjust than wait for perfect information - Communicate clearly and directly, especially when flagging risks or blockers Strong Candidates May Also Have - Stood up a lab or datacenter room from empty: layout, power and cooling budget, first round of purchasing - Time around high-density accelerator systems (GPU/TPU-class racks), liquid cooling, or pre-release/NPI hardware bring-up - Electronics bench skills: soldering and rework, scope and multimeter, custom cable and debug harnesses, JTAG probes, light fabrication (3D printing, drilling, mounting) - Supported hardware security, firmware, or platform bring-up work - Experience with DCIM or asset-management tooling (NetBox, ServiceNow, etc.) - Bought hard-to-source or specialty hardware and dealt with the compliance and logistics that come with it Location This role is based in our San Francisco office (500 Howard St). Travel to nearby lab spaces is required so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
GSOC Response & Policy Program Specialist
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are seeking a GSOC Response & Policy Program Specialist to define how Anthropic's Global Security Operations Center detects, responds to, and recovers from incidents affecting our people, facilities, and operations. You will write the GSOC plan and policy: the functions, the severity matrix, the communication templates, and the service levels. You will build global incident-specific response protocols, covering incidents that arise across different regions and countries, and turn each one into two playbooks, one that is built on actionability for the operator on the floor and one for the business facing for the partner receiving the call. You will design a simple, scalable on-call rotation and call tree so Incident Commander coverage never depends on any one person. You will take this body of work through Legal, HR, and Communications, secure signoff from senior leadership, and then train and roll it out. You will assist in responding to incidents. This role will also coordinate the handoff to the appropriate Incident Commander as an incident escalates, and acts as the standing liaison between GSOC and Crisis Management. Your job is to turn all of this into a written, approved, and actionable standard that the GSOC and the business both run on, and to keep it current as the program matures. This is a builder's role in a program that is scaling globally. The scope covers incidents on site, off site, and during travel, including natural disasters, across every region Anthropic operates in. Important Note: In this position, you may be exposed to graphic and explicit content, including material of a violent or psychologically disturbing nature. This role carries an on-call requirement and after-hours availability. The GSOC Response & Policy Specialist is expected to respond to threats as they arise, including evenings, weekends, and holidays. Responsibilities - Author the GSOC plan and policy, including the documented set of GSOC functions, the incident severity matrix, communication templates, and service level agreements for response timing - Design global incident- and event-specific response protocols, and produce the corresponding GSOC operator playbooks and business-facing playbooks - Define and obtain approval for the tooling and channels used for incident response and management, and for the distinct path used for information-only employee advisories - Partner with Legal, Communications, HR, and Employee Relations to align on notification thresholds and obligations before an incident occurs, not during one - Design and formalize a simple, scalable on-call rotation and call tree for GSOC incident response personnel, so Incident Commander coverage does not depend on any single person's availability - Drive policy socialization and secure approval from senior leadership - Build and deliver the training and rollout that puts the policy into practice - You will assist in responding to incidents. This role will also coordinate the handoff to the appropriate Incident Commander as an incident escalates, and acts as the standing liaison between GSOC and Crisis Management. - Act as the standing liaison between GSOC and Crisis Management, and partner with Crisis Management on GSOC service design - Run after-action reviews and tabletop exercises, and fold what they surface back into the policy - Measure whether the standard is being met, and report on it You may be a good fit if you: - Have 8+ years of professional experience in GSOCs, security operations, emergency or crisis management, business continuity, incident command, or a closely related discipline - Hold a bachelor's degree or higher in a relevant field - Have authored security, safety, or emergency response policy that was formally approved and adopted by an organization - Have served as Incident Commander, or in an equivalent command role, during live incidents - Have working knowledge of ISO 22320:2018 (or an equivalent incident command system such as ICS/NIMS) and of severity or tiering frameworks, and can speak to adapting one to a specific organization - Write clearly and concisely for non-specialist audiences, and can tailor the same underlying content for an operator, a business partner, and an executive - Can manage a document-heavy program on a deadline while remaining available for live incident response - Have a strong drive for continuous process improvement and thrive in highly collaborative environments - Are comfortable with a flexible schedule, including 24/7 on-call rotation and after-hours response Strong candidates may also have: - Experience standing up a security operations center or an incident response program from an undocumented state - Familiarity with mass notification, critical communications and incident management platforms - Experience with travel risk management and duty-of-care programs covering travelers and employees affected by natural disasters - Professional certifications such as CEM, CBCP, PSP, or FEMA ICS credentials - Specialized knowledge of risks unique to the AI sector 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: $180,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Growth Account Executive, Startups
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Startup Account Executive at Anthropic, you'll manage a portfolio of startup customers and help them harness the transformative potential of safe, frontier AI. This role is designed for early-career sales professionals who thrive in fast-paced environments and are excited about building scalable engagement models. You'll leverage Claude and other tools to efficiently serve a large customer base while identifying high-potential accounts for growth. The ideal candidate will combine strong foundational sales skills with intellectual curiosity about AI and a passion for process improvement. You'll develop playbooks for scaled customer engagement that benefit the entire Growth AE organization, while building the skills to advance into more senior AE roles. Responsibilities: • Manage a portfolio of 100+ startup accounts, maintaining high retention and identifying expansion opportunities • Build and execute scalable engagement models using Claude and automation to efficiently serve a high-volume customer base • Identify breakout accounts with high growth potential and ensure smooth transitions to expanded coverage when appropriate • Develop and document best practices for scaled customer engagement that can be shared across the Growth AE organization • Conduct streamlined account health checks and identify early warning signs of churn risk • Partner with customers to understand their business models and product, advising them through their AI transformation, and gathering feedback to inform product development • Collaborate with Applied AI and other cross-functional teams to support customer technical needs You may be a good fit if you have: • 3+ years of experience in sales, account management, customer success, or related roles • Demonstrated ability to manage multiple priorities and a high volume of customer relationships simultaneously • Strong communication skills with ability to build rapport quickly across various customer personas • Analytical mindset with comfort using data to prioritize accounts and identify trends • Enthusiasm for emerging technologies and genuine interest in AI • A "roll up your sleeves" mentality and comfort operating in ambiguous, fast-changing environments Strong candidates may have: • Experience with consumption-based or usage-based pricing models • Familiarity with technical products, APIs, or developer-focused solutions • Experience working with startup customers or in a high-growth startup environment • Exposure to AI/ML concepts and applications The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $172,300 - $222,800 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Growth Account Executive, AI Native
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 Growth Account Executive at Anthropic, you'll drive expansion and retention of our fastest-growing startup customers by helping them harness the transformative potential of safe, frontier AI. You'll leverage your consultative sales expertise to grow revenue while becoming a trusted strategic advisor, helping customers expand their AI capabilities and unlock new use cases. Working closely with GTM, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong sales acumen with relationship management skills, focusing on growing accounts through strategic upsells while maintaining high retention rates. By driving expanded deployment of Anthropic's emerging products, you will help enterprises scale their AI capabilities while advancing its ethical development. Responsibilities: - Drive revenue growth through strategic account expansion and renewals - Own the full sales cycle for upsell opportunities while maintaining strong retention rates - Build and maintain trusted relationships with key stakeholders across your portfolio of high-growth startups - Lead strategic account planning including Quarterly Business Reviews, health checks, and renewal negotiations - Partner with customers to identify new use cases and opportunities to expand their AI capabilities with Anthropic - Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap - Develop and execute account strategies that align Anthropic's solutions with customer business objectives - Proactively identify and mitigate retention risks while maintaining high customer satisfaction You may be a good fit if you have: - 5+ years of experience in sales or account management roles, with a proven track record of growing accounts and exceeding retention targets - Success as a strategic business advisor, deeply understanding startup needs and creating innovative solutions that align with their vision - Experience managing complex sales cycles, working with technical stakeholders, and negotiating strategic deals - Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to C-level executives - Analytical approach to understanding customer needs combined with creative solutions to drive expansion - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality - Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly - Experience running strategic business reviews and managing executive relationships - Track record of consistently meeting or exceeding quota in fast-paced environments Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $222,800 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Global Senior Equity Program Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Global Senior Equity Program Manager to manage Anthropic's equity compensation strategy and operations across all global markets. In this pivotal role, you will design, implement, and manage comprehensive equity programs that attract, retain, and motivate top talent while supporting our mission to develop safe and beneficial AI systems. You'll work closely with cross-functional teams including People, Legal, Finance, and Tax to ensure our equity programs are competitive, compliant, and aligned with our values as a public benefit corporation. As Anthropic continues to scale globally, you will play a critical role in building equity frameworks that support our international expansion while maintaining consistency with our compensation philosophy. This role offers the opportunity to shape equity compensation practices at one of the most important AI safety companies during a period of significant growth. Responsibilities: - Oversee daily equity plan operations including grant processing, option exercises, cancellation and cap table management. - Build and optimize processes for equity transactions while ensuring accuracy and compliance - Manage monthly equity reconciliations and reporting - Lead demographic and payroll system integrations to streamline equity operations - Develop and implement automated processes for tax rate calculations and payroll integration - Create scalable workflows that can support our growing headcount and global expansion - Provide high-touch service to ensure employees understand their equity compensation - Execute simple equity tax calculations in coordination with payroll processing - Ensure timely and accurate tax withholding and reporting for equity transactions - Support development of equity tax policies and procedures - Design and document standard operating procedures for all equity operations - Create scalable processes that will support transition to public company requirements - Provide guidance and support to managers and employees on equity-related questions and programs You may be a good fit if you have: - A Certified Equity Professional (CEP) designation - 8+ years of experience in equity administration, stock plan management, or related field - Strong knowledge of equity compensation principles (stock options, RSUs) - Experience with Shareworks equity management platforms - Proficiency in payroll systems integration and tax withholding processes - Detail-oriented with strong analytical and problem-solving skills - Excellent communication skills with ability to explain complex equity concepts to employees Strong candidates may have: - Experience at high-growth technology companies during scaling phases - Knowledge of US and international equity compensation and tax requirements - Excellent project management skills with a track record of leading complex, cross-functional initiatives - Advanced Excel/Google Sheets skills and experience with modeling Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Global Real Estate Construction Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Global Workplace & Real Estate team is delivering a rapidly expanding global portfolio — including full-building offices at the scale of ~450,000 SF that combine commercial kitchens, executive briefing centers and event space, high-end amenities, and the elevated power, cooling, and security infrastructure our work requires. We're hiring a Real Estate Construction Manager to lead the technical delivery of these projects from pre-construction through closeout and to serve as our primary technical counterpart to general contractors, design teams, and specialty vendors. This is a hands-on construction leadership role, not a design role. You will own how our projects get built: delivery method and contracting strategy, GC selection and oversight, MEP and specialty-systems coordination, cost and schedule control, and commissioning. Executing the design direction is set by the Global Head of Real Estate & Workplace and our architects. You will also lead and develop a team of project managers delivering across the global portfolio. This role reports to the Global Head of Real Estate & Workplace. Key responsibilities Pre-construction & technical delivery - Lead pre-construction on complex buildouts: constructibility and design/drawing reviews, MEP and structural coordination, estimating support, value engineering, and development of the GMP or bid package. - Recommend and own the delivery method and contracting strategy for each project (e.g., GMP, lump sum, CM-at-risk, design-assist), matching the approach to scope, schedule, and risk. - Read and interpret architectural, structural, and MEP drawings and specifications; surface gaps, conflicts, and risk before they reach the field. - Coordinate technically demanding scopes — commercial kitchens (Type I hoods, make-up air, grease and UL300 fire-suppression systems, utility upsizing), high-performance AV and acoustics for executive and event spaces, server/IDF rooms with redundant power and supplemental cooling, elevated power density, and integrated physical security. - Manage permitting and inspections with authorities having jurisdiction across multiple markets and labor environments. Construction execution, quality & closeout - Oversee construction from mobilization through closeout across multiple concurrent projects, holding general contractors accountable to schedule, budget, safety, and quality. - Run the technical processes that keep a job on track: RFIs, submittals and shop drawings, ASIs, and BIM/clash coordination across trades; lead owner-architect-contractor and trade-coordination meetings. - Conduct site visits to monitor progress, safety, and quality control; enforce inspection protocols and punch-list management. - Drive commissioning and closeout — systems commissioning (including kitchen exhaust/MUA balancing, BMS, and life-safety), TCO/CO, as-builts, O&M manuals, warranties, attic stock, and owner training. - Ensure compliance with local building codes, ADA requirements, and Anthropic's sustainability goals. General contractor, vendor & contract management - Serve as the primary point of contact for general contractors, subcontractors, and external project managers, holding them to clear communication and accountability. - Lead GC selection end to end: pre-qualification/RFQ, RFP/ITB, bid leveling and scope normalization, scope-gap detection, and award — and structure the contract (GMP fee, general conditions/requirements, allowances, contingencies, qualifications, and exclusions). - Negotiate and administer contracts with contractors, vendors, and consultants; manage GC performance throughout construction, including schedule adherence, change-order management, safety compliance, and closeout. - Determine which trades and specialty vendors to carry under the GC vs. hold owner-direct, and manage critical long-lead vendors (kitchen equipment, AV, architectural millwork, switchgear/generator). - Develop and maintain landlord and property-management relationships to facilitate approvals and ongoing operations. Cost & commercial controls - Build and own detailed budgets by trade/CSI division — separating hard costs, soft costs, FF&E, technology, allowances, and escalation — and manage design, construction, and GC contingencies deliberately. - Review and approve budgets, change orders, and invoices, including schedule-of-values setup, pay-application review (e.g., AIA G702/G703), retainage, and lien waivers, providing professional pushback to protect Anthropic's interests. - Govern the change-order process (PCO to CO, markups, substantiation) and distinguish legitimate changes from scope gaps the contractor should have carried. - Lead value engineering that protects scope and design intent; maintain cost forecasting and reporting throughout each project. Team leadership - Directly manage and develop a team of Real Estate / Construction Project Managers delivering projects across the global portfolio. - Set technical standards, playbooks, and performance expectations; balance workload across the team by project complexity and development goals. - Coach the team through complex technical and commercial problem-solving; review progress, identify blockers, and course-correct. - Foster a culture of ownership, continuous improvement, and knowledge sharing, and structure the function to support rapid growth. Stakeholder management & communication - Partner closely with internal stakeholders — Security, IT, Facilities, Finance, and business teams — to ensure technical and operational requirements are built into project plans. - Create executive-level presentations and reporting on project status, budget, schedule, and risk, with clear recommendations. - Craft clear communications to the broader employee population about office changes, construction impacts, and workspace enhancements. Minimum qualifications - Hold a Bachelor's degree in Construction Management, Engineering, Architecture, Real Estate, or a related field. - Bring deep, hands-on construction expertise — reading and interpreting architectural, structural, and MEP drawings and specifications, and running the field from them. - Command construction delivery methods and contract structures — GMP, lump sum, cost-plus, and design-assist — and the mechanics of change-order management. - Have delivered technically complex scopes — e.g., commercial kitchens, high-end client/amenity and event spaces, data/server rooms with redundant power and cooling, and integrated security systems. - Are strong in pre-construction — constructibility review, estimating, value engineering, and bid leveling. - Command cost and commercial controls — budgeting by division, schedule of values, pay-application review, change-order governance, and contingency management. - Have managed budgets for projects ranging from $50M to $300M+, and multiple complex projects concurrently. - Have navigated permitting and inspections across multiple jurisdictions, in union and non-union environments. - Have directly managed and developed project managers through full project lifecycles, and can scale a delivery function for rapid growth. - Are proficient with construction PM software (e.g., Procore) and CPM scheduling tools (e.g., Primavera P6 or MS Project), plus MS Office. - Possess excellent verbal and written communication skills, with the ability to tailor messages from the C-suite to the general population. - Are willing to travel 25–50% to various office locations. Preferred qualifications - Have 10+ years in corporate real estate construction management, general contracting, or a related field, with a track record of delivering complex office buildouts on time and on budget. - Hold PMP (or equivalent) and OSHA 30 certifications. - Possess LEED accreditation or demonstrated experience with sustainable building practices. - Have commissioning experience on technically complex base-building or tenant systems. - Bring an established network of general contractors, subcontractors, and specialty vendors. - Have international project experience and an understanding of building standards and permitting across different countries. - Have worked in high-growth technology environments, particularly those scaling from 500 to 5,000+ employees. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 - $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Global Mobility Coordinator
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's mission depends on our people being able to do their work wherever that work needs to happen. Global Mobility is what makes that possible. This role is the operational heart of that work. You will be responsible for business travel compliance at Anthropic — business visas, posted worker and social security obligations, and documentation that get our people across borders — together with the entity transfers that move employees between our legal entities as the company grows. You will also support the rest of our mobility programs: relocations, international assignments, and short-term placements, along with the project work that comes with them as they grow. Key responsibilities - Own business travel compliance cases end to end. Business visas, PWD, Social Security registration. You decide what a case needs, work the documentation to ground, and get people where they are going. Novel fact patterns will land on your desk without precedent. You research it, form a view, and check it with your manager before we commit. - Support employees through relocations and assignments. You are the person they come to from the day they accept to the day they arrive. You initiate cases with our providers, keep the move on track, and answer the questions people have when they are moving their life to another country. - Own the experience of every entity transfer. You execute the process end to end, and you hold the experience: the employee always knows where things stand, stakeholders such as Payroll, People Services, and Legal have what they need before they ask, and nothing falls between systems. A transfer can be a big moment in someone's working life. Your work is what makes it feel seamless. - Be the first line for global mobility questions. Employees, hiring managers, and recruiters come to you first. You answer most of it yourself, escalate the genuinely novel, and turn the questions you keep getting into documentation so you stop getting them. - Hold our providers to their commitments. You will know their process well enough to tell what they cannot do from what they simply have not done yet — and you will say so, in a relationship forward manner. - Pick up the project work as our programs grow. You handle the exceptions, so you see the patterns before anyone else: a policy that needs rewriting because the same case keeps coming up, a new provider to implement, a country we have not sent anyone to before. Scoped with your manager, run by you. Minimum qualifications - Have worked in global mobility. We do not expect expertise across business visas, relocation, and mobility tax. We do expect that you have personally owned cases and can walk us through one. - Are relentlessly responsive. You treat employees and colleagues as people navigating a stressful moment, not as tickets. You close loops before anyone has to chase you. - Explain complicated things simply. You can make a visa process legible in writing, quickly, and without jargon. - Look for the repeatable thing inside the manual thing. You have made your own work faster before, and you would rather build the fix than absorb the pain. Preferred qualifications - Experience with entity transfers, business travel compliance including PWD filings, or Social Security notifications - Familiarity with Workday, Greenhouse, or Jira - Hands-on experience using Claude or other LLM tooling in their daily work - Experience at a startup growing quickly, where the process is not always written yet 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: $135,000 - $180,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Full-Stack Software Engineer, Reinforcement Learni...
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 Full-Stack Software Engineer in RL, you'll build the platforms, tools, and interfaces that power environment creation, data collection, and training observability. The quality of Claude's next generation depends on the quality of the data we train it on — and the systems you build are what make that data possible. You'll own product surfaces end-to-end — from backend services and APIs to the web UIs that researchers, external vendors, and thousands of data labelers use every day. You don't need a background in ML research. What matters is that you can take an ambiguous, high-stakes problem and ship a polished, reliable product against it, fast. This team moves very quickly. Claude writes a lot of the code we commit, which means the bottleneck isn't typing — it's judgment, taste, and the ability to react to what researchers need next. You'll iterate on data collection strategies to distill the knowledge of thousands of human experts around the world into our models, and you'll do it in a loop that closes in hours and days, not quarters or months. Anthropic's Reinforcement Learning organization leads the research and development that trains Claude to be capable, reliable, and safe. We've contributed to every Claude model, with significant impact on the autonomy and coding capabilities of our most advanced models. Our work spans teaching models to use computers effectively, advancing code generation through RL, pioneering fundamental RL research for large language models, and building the scalable training methodologies behind our frontier production models. The RL org is organized around four goals: solving the science of long-horizon tasks and continual learning, scaling RL data and environments to be comprehensive and diverse, automating software engineering end-to-end, and training the frontier production model. Our engineering teams build the environments, evaluation systems, data pipelines, and tooling that make all of this possible — from realistic agentic training environments and scalable code data generation to human data collection platforms and production training operations. What You'll Do - Build and extend web platforms for RL environment creation, management, and quality review — including environment configuration, versioning, and validation workflows - Develop vendor-facing interfaces and tooling that let external partners create, submit, and iterate on training environments with minimal friction - Design and implement platforms for human data collection at scale, including labeling workflows, quality assurance systems, and feedback mechanisms that surface reward signal integrity issues early - Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward hacking - Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure - Build and expand scalable code data generation pipelines, producing diverse programming tasks with robust reward signals across languages and difficulty levels - Develop onboarding automation and documentation tooling so new vendors and internal users ramp up in hours, not weeks - Partner closely with RL researchers, data operations, and vendor management to translate ambiguous requirements into well-scoped, well-designed products You May Be a Good Fit If You - Have strong software engineering fundamentals and real full-stack range — you're comfortable owning a surface from database schema to frontend - Are proficient in Python and a modern web stack (React, TypeScript, or similar) - Have a track record of shipping systems that solved a hard problem , not just shipped on time — e.g. you built the thing that made your team 10x faster, or the internal tool nobody thought was possible - Operate with high agency: you identify what needs to be done and drive it forward without waiting for a ticket - Have found yourself wondering "why isn't this moving faster?" in previous roles — and then have done something about it - Care about UX and can build interfaces that are intuitive for both technical researchers and non-technical labelers - Communicate clearly with researchers, operations teams, and engineers, and can turn vague asks into well-scoped work - Thrive in a fast-moving environment where priorities shift, Claude is your pair programmer, and the next problem is often one nobody has solved before - Care about Anthropic's mission to build safe, beneficial AI and want your work to contribute directly to it Strong Candidates May Also Have - Built data collection, labeling, or annotation platforms — ideally ones that had to scale across many vendors or many task types - Background building multi-tenant platforms with role-based access, audit trails, and vendor management workflows - Experience with cloud infrastructure (GCP or AWS), Docker, and CI/CD pipelines - Familiarity with LLM training, fine-tuning, or evaluation workflows - Experience with async Python (Trio, asyncio) or high-throughput API design - Background in dashboards, monitoring, or observability tooling - Experience working directly with external vendors or partners on technical integrations - A background that isn't a straight line — e.g. math or physics into SWE, competitive programming, research into engineering, or a side project that outgrew its scope Representative Projects - Building a unified platform for human data collection that integrates labeling workflows, vendor management, and QA for complex agentic tasks - Developing vendor onboarding automation that handles Docker registry access, API token management, and environment validation - Creating evaluation and observability dashboards that catch reward hacks, measure environment difficulty, and give real-time feedback during production training - Building environment quality review workflows that let researchers browse, grade, and provide feedback on training environments - Developing automated environment quality pipelines that validate correctness and difficulty calibration before environments hit production training - Building internal tools for browsing and analyzing training run results, environment statistics, and data collection progress The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Full Stack Engineer, Education Labs
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 believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged. This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones. We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow. You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking. Responsibilities: - Ship features that help users develop real skill with AI—measuring success by capability growth, not time-on-site - Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel - Define technical direction for the team—establish patterns others can follow - Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic's broader product strategy - Shape team strategy and roadmap—identify the highest-leverage opportunities and build conviction across stakeholders - Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers - Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization You may be a good fit if you have: Strong full-stack engineering with design sensibility - 6+ years building and shipping web products, with deep expertise across the stack - Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail - Solid back-end and data pipeline experience: Python, API design, analytics infrastructure - A portfolio showcasing innovative interaction designs and high-quality implementations - Track record of independently driving features from prototype to production Deep conviction about human capability - Strong perspective on how technology should enhance human capabilities rather than diminish them - Experience or genuine passion for skill development, HCI, developer tools, or products that help people become more capable - Skepticism of purely engagement-driven metrics; interest in measuring capability outcomes Research mindset with product execution - Comfort with ambiguity and exploring undefined problem spaces - Ability to rapidly prototype, test with users, and iterate toward production - Strong instincts for product design and user experience, even without formal design training Strategic leadership and coalition building - Experience setting vision, shaping team strategy, and building conviction across cross-functional stakeholders - Ability to build productive relationships with Product, Design, Research, and Engineering teams—especially when your team isn't the owner - Strong sense of prioritization—knowing what to build now, what to defer, and what to cut - Track record of influencing roadmaps and decisions beyond your immediate team Strong candidates may also have: - Experience in developer tools, creative tools, learning platforms, or other products where user skill development and mastery matter more than time-on-site - Background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology (formal or self-directed) - Experience with experimentation frameworks, A/B testing, or analytics that measure capability development in production - Previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity - Published writing, talks, or open-source work on skill development, human-AI interaction, or product philosophy - Experience building AI-native product experiences or working with LLMs in production contexts Strong candidates may also have - Background in learning sciences, cognitive science, HCI, or educational psychology - Experience in developer tools, creative tools, or learning platforms where mastery matters more than engagement - Published writing, talks, or open-source work on skill development or human-AI interaction - Experience building AI-native product experiences or working with LLMs in production What this role is not This is a hands-on technical role building product features, embedded within a research team. You'll provide technical guidance and help set direction, but this role doesn't involve people management off the bat. If you're looking to immediately transition into engineering management or lead a large team, this likely isn't the right fit. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Finance Systems Engineer, Tax
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 Technology function sits inside Finance Systems and owns the systems that make every revenue and purchasing motion bookable, taxable, and auditable from day one. We're looking for a tax technologist who builds: someone who already understands how tax systems work and who writes the integrations, tooling, and production code that connect them to Anthropic billing, ERP, and data warehouse systems. You'll build across all of tax, including indirect tax, corporate income tax and provision, withholding tax, R&D credits, and transfer pricing. You'll be a foundational hire on a small team, working directly with the Tax Technology Lead and be a trusted partner to our cross functional partners in Tax, Data Science, Billing Engineering and Product, among others. You'll be the key Anthropic tax technology technical resource building and hardening the tax-specific tooling and audit-ready evidence pipelines that allow the function to keep pace as the business grows. This role is expected to take on more ambitious projects over time, including using Claude to automate tax work end to end and building internal products that are both high impact and seamless to use for the Tax team. Key responsibilities - Own tax-related changes in the billing codebase and the billing-to-tax-engine integration, including withholding tax considerations - Lead the AP tax engine implementation across ERP-connected purchasing flows: data migration, integration pipelines, parallel-run reconciliation, e-invoicing and go-live validation - Build and iterate tax-specific products and internal tooling across the full tax stack, including indirect tax reconciliations, provision and research credit data pipelines, transfer pricing datasets, withholding tracking, and exemption and validation tooling - Own the production connection points between the tax stack and our data infrastructure, feeding the central ingestion layer - Build SOX-aware IPE and control-total tooling on tax data flows: ingestion control totals, source-to-target tie-outs, and evidence pipelines that stand up to external audit - Design and build tooling that applies Claude to tax work and gives non-technical tax colleagues self-serve access to data, calculations, and evidence - Serve as the technical owner for vendor implementation handoffs, in the room during the build and accountable after go-live - Partner with Billing Engineering, Data Platform, Tax, Treasury and Product to keep the tax stack optimized and compliant as new products and jurisdictions come online Minimum qualifications - Hands-on experience building or owning production integrations against billing platforms, ERPs, or enterprise tax or finance systems - Tax-systems fluency in at least one domain (indirect tax engines, corporate tax provision or compliance tooling, withholding, research credit, or transfer pricing systems), gained at a tax-technology practice, a tax software vendor, or an in-house tax-systems team - Proficiency writing production-grade Python, with testing and code-review discipline - SQL proficiency sufficient to build reconciliations and validate data end to end - Experience building or operating SOX-aware data flows, such as IPE, control totals, or documented and testable pipelines - Ability to work independently in a constantly changing and fast paced environment - Ability to work directly with vendors, auditors, engineers, and the tax team without an intermediary Preferred qualifications - 7+ years in tax technology, finance systems engineering, or a closely related field - Experience owning changes inside a shared production codebase alongside a product engineering team - Warehouse and analytics-engineering skills such as dbt, BigQuery, or comparable - Breadth across multiple tax domains, including indirect (sales/use, VAT/GST), corporate income tax and provision, withholding, research credit, and transfer pricing data - Experience building internal tools or interfaces for non-technical finance or tax users - Experience building with LLMs or applying AI to finance or tax work - Marketplace, usage-based, or platform billing exposure - Experience taking over vendor-built systems and hardening them for long-term ownership - UAT design and change-management experience on finance-systems implementations - Record of novel AI applications for foundational tax tasks or problems 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: $205,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Finance Systems Engineer, Revenue
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 Finance Systems team builds and owns the infrastructure that powers our quote-to-cash lifecycle—from pricing and billing through revenue recognition and financial close. As our revenue model grows in complexity, the team is moving beyond configuring off-the-shelf platforms and into building homegrown, production-grade financial applications that no vendor has built for us yet. We are seeking a Finance Systems Engineer to join our Finance Systems team in San Francisco. In this hands-on engineering role, you will both configure and extend the third-party platforms that run our financial operations including Zuora, Stripe, and Tesorio and design, build, and own full-stack applications and integrations that sit on top of them. You will write production Python, Node.js, and React code, author Workato recipes and API integrations across our SaaS stack, administer and tune the systems themselves, and ship working software—not manage vendors or write requirements documents. You will work at the intersection of software engineering and finance, building and configuring the tools that allow our Accounting, Revenue Operations, and Order Management teams to operate efficiently, accurately, and in compliance with SOX and ASC 606 requirements. The first thing you will inherit is our homegrown ledger application and the integrations that connect it to Workday, NetSuite, Zuora, Stripe, Tesorio, and Salesforce. From there, you will help us build the next generation of Finance tooling: self-serve workflows, automated reconciliation, and the operational surfaces that let Finance move at the speed the business demands. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up, come join us in our mission to build safe, transformative AI. Responsibilities - Own the architecture, development, and maintenance of Anthropic's internal finance applications, and own the configuration and ongoing administration of third-party platforms such as Zuora, Workday, and Tesorio - Build and maintain integrations across the Finance systems stack: Zuora, Stripe, Workday, NetSuite, Salesforce, Tesorio, BigQuery and Billing applications - Design system integrations that are auditable, observable, and recoverable—with the rigor that SOX compliance demands - Identify manual, error-prone workflows in the month-end close and automate them with tested, production-grade solutions - Partner with Accounting, Revenue Operations, and Order Management teams to translate business requirements into scalable technical designs—and then build them yourself - Develop and maintain technical documentation, data flow diagrams, and runbooks so the team can operate systems without engineering dependency - Contribute to continuous delivery infrastructure so Finance systems can ship reliably and frequently - Instrument the Finance systems stack with observability tooling so the team knows when a pipeline breaks before the accountants do - Become the go-to domain expert for one or more areas of the revenue systems stack within your first six months You may be a good fit if you - Have 7+ years of engineering experience and are comfortable owning full-stack builds from architecture through production deployment - Are proficient in Python and JavaScript/Node.js; React experience is a strong plus - Have experience building and maintaining system integrations—REST APIs, event-driven pipelines, or ETL workflows—in a production environment - Have worked with BigQuery, Postgres, or similar data platforms and are comfortable writing SQL for analysis, debugging, and reconciliation - Bring enough business context to ask the right questions when a Finance stakeholder explains a problem—you don’t need to be an accountant, but you need to care about getting it right - Are comfortable working directly in systems—configuring, troubleshooting, and building solutions yourself rather than solely managing vendors - Thrive in environments where the problem is ambiguous and the solution needs to be built from scratch - Are energized by working close to the business—you want to see the impact of your code, not just ship features Strong candidates may also - Have experience with Workato, MuleSoft, or similar iPaaS platforms for enterprise system integration - Have worked with Zuora, CPQ, NetSuite, Workday, or Stripe in a technical capacity - Have built SOX-compliant systems or supported an external audit related to financial systems - Have deep understanding with ASC 606 revenue recognition or consumption-based billing models - Be a power user of Claude Code or similar AI-assisted development tools - Have experience at a high-growth technology company navigating system consolidation - Have object-oriented programming experience in Java or similar languages if Python/Node.js experience is limited 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: $205,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Finance & Strategy, GTM - 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 We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations. Key responsibilities - Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials - Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives - Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives - Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations - Establish and implement reporting dashboards and scorecards to track key operational and financial metrics Minimum qualifications - Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models - Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Excitement about working in a fast paced, dynamic environment and adapt well to change - Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines - Strong relationship building, business judgment, process management, and communication skills - Are passionate about Anthropic's mission to build safe, transformative AI systems Strong candidates may also have: - 10+ years of experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking - GTM Finance Business Partnership experience - A combination of 10+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking - Experience with consumption based and/or complex business models - High knowledge of and interest in effective go-to-market strategies including deal-desk management - Background in AI, ML, or related technologies Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Field Marketing Manager, Public Sector
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 hiring a Field Marketing Manager dedicated to the Public Sector Industry — one of the fastest-growing customer segments we serve, and one we believe will define how the next generation of AI-native companies adopts and builds with Claude. You will own the field marketing strategy and end-to-end execution for Public Sector audiences in the US, partnering closely with our Public Sector Sales teams. This is a builder role. Field Marketing at Anthropic is a small, scrappy team and the Public Sector is an area of growth for the business — there is no existing playbook for you to inherit. You will design the event calendar, build the integrated digital programs, develop the necessary partnerships, and create the playbooks that scale across our Public Sector motion. Key responsibilities - Develop and activate the US Public Sector field marketing strategy end-to-end — planning, calendar, execution, and measurement. - Design and run public-sector-appropriate event formats — agency roundtables, mission-focused briefings, tech demo days, industry days, and executive breakfasts — that comply with government ethics and gift rules while building trusted relationships with program and procurement stakeholders - Plan the field calendar around the government fiscal year — building demand programs that peak ahead of federal year-end (September 30) and state budget cycles, and capitalize on use-it-or-lose-it spending windows - Own presence at anchor public sector events — from sponsorship strategy to speaker placement and on-site execution - Build co-marketing programs with the public sector channel ecosystem — distributors, resellers, systems integrators, and contract-vehicle holders — including joint events, teaming-oriented content, and partner-sourced pipeline - Partner closely with Public Sector Sales and BDRs on pre-event targeting, during-event engagement, and post-event follow-up to convert attention into pipeline - Build operational playbooks (Demo Day activation kit, hackathon kit) that the Field Marketing team can scale across regions and segments - Establish baseline metrics, dashboards, and ROI reporting for all Public Sector field programs - Be the face of Anthropic in the Public Sector ecosystem — credible with strategic partners and agencies You may be a good fit if you: - Direct Public Sector-segment experience — you have built and run programs targeting the Public Sector as your primary audience, not as an enterprise field marketer who occasionally touches Public Sector - End-to-end ownership of field marketing events and programs, hands on in both strategy and execution - this is a 0-1 building role with very little foundation in place - Repeat success across multiple companies — we are looking for a pattern of impact, scaling field or demand generation programs in different environments, not a single-company tour (however strong the brand) - 0-to-1 builder DNA — you've built a field marketing motion from scratch (or rebuilt one), and you also have scaled-company tenure that grounds you operationally - Tight sales alignment — you've worked shoulder-to-shoulder with AEs and BDRs on account targeting, pre-event outreach, and post-event follow-up - Operational rigor — you can stand up vendor management, registration, follow-up workflows, and ROI dashboards without being asked - Technical credibility — you can review technical event content, brief technical speakers, and hold your own with founder/CTO audiences Strong candidates may have: - 10+ years across Field Marketing, Demand Generation, ABM, and Events at B2B technology companies - Experience working inside of a Public Sector organization that went through a rapid growth phase, or a blend of Public Sectors and scaled technology companies. - AI/ML field marketing experience - Existing relationships with public sector associations and research institutions - Visible thought leadership in the Public Sector ecosystem or developer ecosystem Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or Washington, D.C. office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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