11,451 results
Customer Solutions Engineer, Korea
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Seoul, South Korea, Singapore What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Customer Solutions Engineer, ASEAN
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Singapore What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Procurement Category Manager (Workplace and Market...
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Procurement Category Manager (Workplace & Marketing) on the Procurement team, you will own and drive cost savings across indirect spend, with a focus on Workplace & Marketing categories. This role is critical to scaling Mistral's operations efficiently, as you define and execute procurement strategies for high-impact areas like workplace services, facilities, events, and marketing spend. You will collaborate closely with internal stakeholders to rationalize contracts, renegotiate agreements, and implement processes that reduce complexity and costs, directly shaping how Mistral optimizes its resources. WHAT YOU WILL DO - Lead global negotiations on indirect spend to drive measurable cost savings. - Define and execute procurement strategies tailored to Workplace & Marketing categories. - Identify and manage existing contracts, tools, and needs, including renewals and renegotiations. - Build and manage supplier panels to reduce fragmentation and improve governance. - Rationalize tool usage and consolidate internal needs with business owners. - Lead procurement projects end-to-end, from RFP to contractualization. - Contribute to the digitization of procurement through P2P tool adoption. WHAT WE'RE LOOKING FOR - At least 5 years of experience as a Buyer/Category Manager, ideally in Workplace, Marketing, or professional services categories. - Proven ability to negotiate with large providers in competitive or tense markets. - Strong project management skills to handle multiple initiatives and align stakeholders. - Assertiveness and communication skills to push back constructively and build trusted relationships. - Adaptability to thrive in dynamic, evolving environments. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Head of Corporate Development
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As Cohere scales its enterprise AI platform and accelerates its position as a leader in sovereign AI solutions, we need a strategic Corporate Development leader to drive high-impact partnerships, M&A, and long-term business development. This role will focus on expanding Cohere’s ecosystem through strategic alliances, channel relationships, and targeted acquisitions that support our growth in regulated industries, government sectors, and global markets. Key Responsibilities M&A Strategy: - Evaluate and execute acquisitions or investments in complementary technologies that strengthen our core platform, particularly in compute infrastructure, specialized AI capabilities, and regulatory compliance tools - Lead due diligence processes with cross-functional teams to ensure technical integration feasibility and strategic alignment - Manage post-merger integration to maximize value realization and revenue synergies Market Expansion: - Support entry into new verticals and geographies through targeted collaborations with industry leaders and government partners - Develop market entry strategies that address regulatory requirements and sovereignty concerns in key international markets - Create partnership frameworks that enable rapid scaling in high-growth sectors - Partner with sales and marketing teams to create joint GTM strategies that drive adoption and revenue growth Cross-Functional Leadership: - Partner with product, engineering, and legal teams to ensure deals align with technical capabilities, ethical AI standards, and regulatory requirements - Collaborate with finance to develop robust financial models and valuation frameworks for partnership and M&A opportunities - Work with government relations and policy teams to navigate complex regulatory landscapes and secure strategic government partnerships Strategic Partnerships: - Identify and negotiate transformative alliances with key players in our ecosystem, including telcos (e.g., Bell), hardware infrastructure providers (e.g., BUZZ HPC), cloud platforms, and government entities to accelerate Cohere’s go-to-market and sovereign AI deployment capabilities - Develop partnerships that enable on-premise and edge deployment solutions for customers requiring data sovereignty and regulatory compliance - Leverage relationships with enterprise software vendors and data platforms to enhance North’s enterprise-grade AI offerings Qualifications Experience: - 12+ years in corporate development, strategic partnerships, or investment banking at a technology company, with proven experience in AI, SaaS, or enterprise software - Demonstrated success in closing partnerships and M&A deals that drove significant revenue growth or strategic market access - Experience with sovereign AI deployments, regulatory compliance (CTA, export controls), and government partnerships Skills: - Strong negotiation and deal-structuring ability with experience in complex, multi-stakeholder agreements - Extensive network in AI/enterprise tech ecosystems, including telcos, hardware providers, and government entities - Analytical rigor with expertise in financial modeling, market sizing, and valuation analysis - Cross-functional leadership and stakeholder management skills - Deep understanding of current AI regulatory landscape and compliance requirements Track Record: - Experience executing M&A transactions that successfully integrated complementary technologies and accelerated growth - History of building and scaling strategic partnerships that delivered measurable revenue impact and market expansion - Proven ability to navigate complex regulatory environments and secure government/enterprise partnerships Why Join Cohere? - Impact: Shape Cohere’s growth trajectory through high-impact deals that position us as the leader in sovereign enterprise AI - Autonomy: Build Corporate Development from the ground up in a company with a clear vision and strong market momentum - Culture: Collaborative, innovative environment focused on responsible AI development and deployment - Growth: Opportunity to work at the intersection of cutting-edge AI technology, strategic partnerships, and global market expansion FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Manager, APAC Recruiting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Manager, APAC Recruiting to lead all hiring across the region as Anthropic builds out its presence across Asia Pacific. This is a senior leadership role that requires exceptional stakeholder partnership, operational rigor, and the ability to serve as connective tissue between a fast-moving regional business and a global recruiting org. You'll partner directly with our Head of International Sales and the APAC-based leadership team. These partnerships require a highly consultative approach: deep fluency in the Asia Pacific talent landscape, the EQ to translate between regional reality and global expectations, and the executive presence to be in the room when headcount decisions get made, not after. You'll build and lead a team of recruiters across the region, setting the standard for what high-touch, high-judgment recruiting looks like. The impact of this role extends beyond your own team. You'll partner closely with functional recruiting leaders in the US to ensure that candidates are all held to the same bar as their US counterparts, while adapting the motion to markets that work differently. Responsibilities - Build and lead APAC Recruiting operations, creating scalable processes and infrastructure across our key markets (Japan, Korea, Australia, India, Singapore) and beyond as the region grows - Manage a team of APAC-based recruiters responsible for all functions (G&A/Core Functions, GTM, and Tech), while maintaining dotted-line relationships with global recruiting leads in the US - Partner closely with the Head of International Recruiting and APAC regional/country leads to develop localized talent acquisition strategies that align with business objectives - Navigate complex and varied regulatory environments across the region, ensuring full compliance with employment laws and country-specific hiring and data privacy regulations in each market (for example APPI in Japan, PIPA in Korea, the Privacy Act in Australia, the DPDP Act in India and the PDPA in Singapore) - Serve as a cultural ambassador, bridging US headquarters with APAC offices and facilitating cross-cultural collaboration across multiple languages, time zones and business norms - Drive senior-level searches including regional "Head of" positions and other leadership roles across the APAC region - Create and implement recruiting strategies that leverage local market insights in Japan, Korea, Australia, India, Singapore and emerging APAC markets, while maintaining global consistency in hiring standards - Collaborate extensively with cross-functional partners including HR, Legal, Finance, and global recruiting peers across time zones, including the limited overlap between APAC and US working hours - Establish metrics, dashboards, and reporting systems to measure APAC recruiting effectiveness and provide strategic insights to leadership - Champion diversity, equity, and inclusion initiatives within APAC markets while respecting local cultural contexts and legal requirements You may be a good fit if you - Have 10+ years of recruiting experience with at least 4+ years leading recruiting teams, preferably in APAC or multi-country Asia Pacific environments - Have proven experience building recruiting functions from the ground up in new APAC geographic markets - Demonstrate expertise across all recruiting domains (G&A, GTM, Tech) with the ability to recruit for various functions and levels - Have a strong understanding of employment law, data privacy, compliance requirements and local hiring norms across key APAC markets, including the differences between markets such as Japan, Korea, Australia, India and Singapore - Excel at managing and collaborating across time zones with exceptional cross-cultural communication skills relevant to Japanese, Korean, Australian, Indian and Southeast Asian contexts - Can operate strategically at leadership level while maintaining the ability to execute hands-on recruiting for senior positions - Show proven track record of being an effective business partner to HR, Legal, Finance, and other key stakeholders - Are comfortable with ambiguity and thrive in fast-paced, high-growth environments - Demonstrate success in serving as a cultural bridge between headquarters and regional offices Strong candidates may also - Speak multiple languages relevant to APAC markets. Fluency in Japanese, Korean, or other regional languages is a plus - Have lived and worked across multiple APAC countries or regions - Have established talent networks in Japan, Korea, Australia, India, Singapore or other APAC markets - Demonstrate success in building employer brand presence in new APAC geographic markets 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.
GTM Engineer
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle This is the revenue org's engineering seat and, in practice, its RevOps lead: you own CRM, enrichment tools, the signal layer, the agent fleet, and every automation that moves a record from product usage to closed-won. You write the code and create the tooling that scales productivity-per-FTE across the GTM team. GTM Engineer means you solve operations problems with software - Python, SQL, APIs, and agentic workflows - where a traditional ops hire would file a ticket or buy another tool. This is a build role - to redesign and implement from the ground up. You treat GTM as a product that delights both our internal teams and our customers. WHAT YOU’LL DO REVENUE SYSTEMS & DATA INFRASTRUCTURE - Own the commercial object model - routing, territories, approvals - as the schema every downstream system and agent reads from - Turn Salesforce from where reps type into where agents reconcile state, with reps inspecting and approving - Connect the stack (Salesforce, Gong, Clay, product usage, the warehouse) through APIs and webhooks so an account looks the same in every system - Build the reporting layer under the CRO dashboard: pipeline coverage, conversion rates, ramp velocity, forecast accuracy - Run it all like production infrastructure - observability, error handling, and data-quality validation - so systems get debugged, not ticketed AGENTIC WORKFLOW ENGINEERING - Build and run the GTM agent fleet from prototype through daily production use, instrumented so decisions, failures, human edits, and downstream outcomes are visible - you own the improvement loop of evals, experiments, and iteration - Build the PLG-to-Enterprise signal layer: product usage into intent scoring into the BDR/AE routing queue - Own the Clay enrichment and outbound data infrastructure; raise BDR output at the systems level FULL-FUNNEL AUTOMATION - Surface the right account context to reps at the right moment: before QBRs, ahead of renewals, when an expansion signal fires - Build churn-risk and expansion detection with Deployment and CX so the post-sale motion runs on live signals - Automate deal desk mechanics: quote workflows and discount approval routing, with pricing guardrails enforced in-system - Sit with frontline sellers to find where the motion breaks, then ship the fix inside two weeks MEASUREMENT & ITERATION - Own every build end to end: discovery, prototype, rollout, adoption, iteration - Measure adoption and revenue impact of everything you ship; kill what nobody uses - Bring the VP build-vs-buy recommendations backed by working prototypes - Feed field evidence to Product so enterprise signals reach roadmap decisions WHAT YOU’LL NEED - 6+ years across RevOps, GTM engineering, sales ops, or an adjacent applied technical discipline, with at least 3 years in RevOps or GTM engineering - Builds you can demo: Salesforce connected to adjacent GTM systems, enrichment pipelines, routing logic, agent workflows in production - Experience with data warehouses, BI tools, or event-driven systems - Clay proficiency strongly preferred; without it, show us you can get dangerous in it during the interview process - Familiarity with enterprise sales motions at $100K to $2M ACV - Analytics engineering, finance or data science background is a plus Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Applied AI Architect, Education
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. Within Education, we partner with universities, schools, research institutions, and countrywide education systems to advance responsible, mission-aligned uses of AI. These environments require more than technical deployment: success depends on institutional trust, thoughtful governance, stakeholder education, change management, and a value narrative that resonates with academic leaders, researchers, IT teams, faculty, administrators, and students. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. About the Role As an Applied AI Architect for Education, you will be the senior technical owner for a named portfolio of education customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business,” shaping each institution’s AI strategy and guiding its journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable institutional impact. You will own the technical account plan across ChatGPT Edu, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate institutional priorities into a focused portfolio of use cases, an actionable adoption roadmap, and a clear path to durable value and growth. The Account Director owns the commercial strategy; you own the technical strategy, customer journey, and path to production value. You will work across academic, research, administrative, and operational contexts—helping customers determine where AI can responsibly improve teaching and learning, accelerate research, strengthen student and faculty services, and make institutional operations more effective. You will account for the realities of education environments, including shared governance, complex stakeholder networks, academic calendars, accessibility, data privacy, responsible-AI expectations, and the need to build confidence among communities with differing levels of AI readiness. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, education programs, and partners. This role calls for strong education-sector fluency, sound architectural judgment, and the ability to move confidently between executive strategy, academic and operational workflows, and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing education customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, value-realization path, and expansion opportunities. - Lead discovery with institutional executives, academic leaders, researchers, faculty, administrators, and technical teams to identify and prioritize use cases connected to meaningful institutional objectives. - Translate education priorities into clear Applied AI Architectures spanning models, applications, institutional data, identity, integrations, security, privacy, governance, evaluation, and deployment. - Guide institutions through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, building confidence in both the solution and its responsible path to production. - Translate institutional objectives into actionable adoption roadmaps with clear workstreams, sequencing, milestones, stakeholder ownership, governance, risks, success measures, and change-management needs. - Develop a focused use-case portfolio across areas such as teaching and learning, research, student and faculty services, knowledge management, software development, and administrative operations. - Translate institutional objectives into actionable adoption roadmaps with clear workstreams, sequencing, milestones, stakeholder ownership, governance, risks, success measures, and change-management needs. - Build trusted relationships and technical champions across CIOs, CTOs, CISOs, provosts, deans, research leaders, faculty, administrators, and other institutional stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, Product, Research, education specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Identify repeatable education patterns and reusable architectures that can accelerate responsible adoption across institutions, departments, campuses, and education systems. - Translate field insights into actionable feedback for Product, Engineering, and Research, representing the needs and production patterns of education customers. - Help identify expansion opportunities where OpenAI can support additional academic, research, administrative, or operational workflows. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided complex organizations from technical evaluation through production adoption and measurable value realization. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Can translate technical capabilities into institutional value across priorities such as student success, research productivity, faculty enablement, administrative effectiveness, accessibility, risk, and governance. - Communicate clearly and can turn ambiguity, competing stakeholder needs, and complex technical choices into a practical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping education institutions deploy advanced AI safely, responsibly, and in service of their missions. - Meaningful experience with education technology, higher education, K–12 systems, research institutions, or similarly mission-driven and consensus-oriented environments is an added bonus About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff Software Engineer, Payments and Applied Mach...
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Payment Intelligence is comprised of multiple product teams building AI-first solutions to some of our customers’ biggest challenges, including fraud/abuse ( Radar ), payment optimizations ( AuthBoost ), Disputes, Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities for Stripe and our customers, and helping protect the broader ecosystem. We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right products for their needs. What you'll do As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML teams and models. Responsibilities - Define technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performance - Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scale - Partner with some of Stripe’s largest merchants to co-build the future of payment-centric intelligence - Partner cross-functionally with product, design, and ML colleagues to ship the very best software possible - Work across the stack - contributing to infrastructure and foundational systems, but also FE, API, and ML-adjacent work. Minimum requirements - 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role - Experience leading engineering team(s) working on Distributed systems, API design, and user facing products - Proven track record of delivering pragmatic solutions that accelerate business growth - Ability to drive projects at a high-level while also being hands on and contributing directly to technical solutions as necessary - Effective communication skills and a proven ability to work cross-team, cross-org, and cross-functionally. Preferred qualifications - Experience with payments systems and/or fraud detection - Familiarity with ML systems in production: model serving, training pipelines, observability, and evaluation - Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly - Experience across a range of software languages and frameworks; our stack includes Java, Ruby, Python, TypeScript, Kafka, Flyte, Airflow, and Mongo. - Experience navigating ambiguity in a fast-moving organization - you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge
Partner Marketing Manager, Ads
About the Team OpenAI's Marketing team helps customers understand, adopt, and get value from OpenAI's products and platform. Within Ads Marketing, Partner Marketing is responsible for building the ecosystem that helps advertisers access, activate, measure, and grow on ChatGPT through the partners they already work with. Our team brings that ecosystem to life by meeting advertisers where they already work, while also helping them discover new platforms and capabilities that can strengthen their advertising strategy. We partner with technology, measurement, agency, and other strategic partners to make it easier for advertisers to access ChatGPT Ads, launch and optimize campaigns, measure performance, and grow their investment over time. About the Role ChatGPT Ads is creating a new environment for how people discover products, evaluate options, and make decisions. As advertising in ChatGPT grows, our partner ecosystem will play a critical role in helping advertisers access, measure, and get more value from this new channel. We’re looking for an experienced individual to focus on ads partner marketing to help build and scale the partner marketing function for ChatGPT Ads. In this role, you will develop the strategy, programs, and go-to-market frameworks that activate our ecosystem of technology, measurement, and other strategic partners. You will work closely with partners ranging from global advertising platforms and measurement companies and emerging technology providers. Your goal will be to turn partnerships into meaningful business impact by helping partners bring advertisers onto ChatGPT Ads, accelerate adoption, increase investment, and demonstrate the value of advertising in a conversational environment. This is a highly cross-functional role at the intersection of partnerships, product marketing, sales, communications, and growth. You will help define how we bring partners to market, where we invest, and how we scale successful programs as the ecosystem grows. In this role, you will: - Support our overall ecosystem strategy in identifying partners, programs, and investments that can drive advertiser adoption, revenue, and ecosystem growth. - Develop differentiated go-to-market strategies across technology, measurement, and other strategic partner segments. - Build and scale partner marketing frameworks that prioritize resources based on partner potential, advertiser impact, and business opportunity. - Design and execute integrated co-marketing programs across launches, campaigns, events, content, webinars, customer stories, and other demand-generation channels. - Partner with product and our partnerships teams to translate strategic relationships and product integrations into compelling advertiser-facing value propositions. - Drive advertiser acquisition and activation through partners, including programs designed to onboard new advertisers, grow spend, and accelerate adoption of new capabilities. - Create scalable partner enablement programs and marketing materials that help partner sales and customer teams confidently position and sell ChatGPT Ads. - Develop joint messaging, positioning, launch narratives, and marketing assets in close partnership with Product Marketing, Communications, Product, Legal, and Brand. - Identify and develop customer and partner stories that demonstrate how advertisers are using ChatGPT Ads and the impact of conversational advertising across the customer journey. - Establish measurement frameworks for partner marketing, connecting programs to advertiser activation, pipeline, revenue, product adoption, and other business outcomes. - Build repeatable processes for partner launches and co-marketing so the organization can support a rapidly expanding ecosystem without sacrificing quality or impact. - Serve as a strategic marketing advisor to priority partners, helping them identify opportunities to bring ChatGPT Ads into their broader customer and go-to-market strategies. You might thrive in this role if you: - Have 8+ years experience in partner marketing, platform marketing, product marketing, ecosystem marketing, or a related role in advertising or technology. - Understand the digital advertising ecosystem and how advertisers work across buying platforms, agencies, measurement providers, and marketing technology. - Have experience building partner programs from the ground up and turning one-off partnerships into scalable go-to-market motions. - Can move comfortably between strategy and execution, from defining an ecosystem framework to launching a campaign with a partner. - Are highly cross-functional and know how to align teams with different incentives, priorities, and ways of working. - Have strong positioning and storytelling instincts and can translate technical integrations into simple, compelling customer value. - Have experience developing and executing external-facing programs, including events, webinars, partner activations, and other customer-facing initiatives. - Use data to determine where to invest, which programs to scale, and whether marketing activity is translating into meaningful business outcomes. - Are comfortable operating in an emerging category where the playbook is still being written. - Have experience working with senior executives and external partners and can represent the business with credibility in high-visibility situations. - Are excited by the opportunity to help define how advertising evolves as conversational AI becomes a more important part of the customer journey. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Marketing Scientist - EMEA (London)
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role We’re looking for a Marketing Scientist to join OpenAI’s Ads Marketing Science function. Reporting to Marketing Science leadership, you’ll be a senior individual contributor who combines rigorous measurement expertise with strong client judgment and hands-on execution. Your mission is to help OpenAI Ads prove and improve advertisers’ media performance. You’ll work with sales, partners, and clients supporting all forms of measurement including verification, attribution, incrementality, brand, marketing mix modeling (MMM), and scalable advertiser reporting, connecting sound methodology to decisions advertisers can act on. You will partner closely with Sales on key advertising accounts and with Product, Engineering, Data Science, Partnerships, Legal, and Privacy. Initial priorities include advancing incrementality measurement, helping onboard measurement partners to privacy-forward measurement workflows and integrations, and creating reusable programs, tools, agents, skills, and workflows that let sales and clients access high-quality Marketing Science support at scale. In this role, you will: - Partner with Sales, advertisers, and agencies to shape learning agendas, interpret results, and improve media performance. - Apply rigorous advertising measurement approaches across attribution, incrementality, marketing mix modeling, and other relevant methodologies. - Develop scalable measurement programs and guidance that improve decisions and adoption of rigorous measurement practices. - Shape advertiser-facing insights experiences that translate campaign and audience data into actionable performance recommendations. - Conduct auction optimization analyses to identify delivery, pricing, and performance opportunities that improve advertiser outcomes. - Communicate complex concepts clearly and uphold high standards for privacy, quality, transparency, and responsible interpretation. You might thrive in this role if you: - Have deep expertise (10+ years) in advertising measurement, including experimentation, incrementally testing, attribution, and econometric approaches such as MMM. - Are a hands-on senior individual contributor who works directly with large datasets using SQL, Python or R, and AI-enabled analytical workflows, without sacrificing rigor or judgment. - Are a trusted client advisor who can navigate sophisticated advertiser questions, measurement discrepancies, and executive conversations with clarity and sound judgment. - Have designed or operated lift and incrementality programs, including experiment design, power analysis, governance, diagnostics, and statistical quality standards. - Bring experience with third-party measurement providers, partner onboarding, APIs or data integrations, and translating partner needs into practical product requirements. - Have partnered effectively with Product, Engineering, and Data Science to turn measurement methodology into scalable tools, reporting, or platform capabilities. - Can translate complex statistical concepts into practical decisions for both technical and non-technical audiences. - Thrive in fast-paced, high-ambiguity environments and can influence across teams without relying on formal authority. - Care deeply about privacy-forward, trustworthy measurement that helps advertisers understand, prove, and improve media performance. Location: - This role is located in London and requires a hybrid work schedule - Monday to Wednesday in office. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Deal Strategy, AMER
About the Role OpenAI is seeking a senior individual contributor to help shape and execute some of our most complex and high-impact commercial opportunities. As AI becomes increasingly important to how organizations operate, the ability to translate sophisticated products and commercial structures into clear, compelling customer narratives is a strategic advantage. In this role, you will serve as an embedded strategic partner to AMER account teams, with a particular focus on high-value, complex, and first-of-kind deals. You will work directly with sellers and cross-functional partners to lead the overall deal strategy, structuring, value narrative, negotiations, and business cases that bring business terms to contractual closure. You will also translate insights and patterns from individual deals into practical frameworks, tools, and resources that improve the quality and consistency of deal execution across the field. This role partners closely with Sales, Pricing, Deal Desk, Strategy, Revenue Operations, Finance, Product, and Legal to help OpenAI move quickly, strengthen proposal quality, and navigate complex commercial opportunities effectively. This role will report to the Americas Deal Strategy Leader. In this role, you will: - Partner directly with AMER account teams on complex, high-value, and strategic opportunities, from initial deal strategy through customer proposal, negotiation, and deal closure. - Develop deal strategies that bring together customer priorities, commercial considerations, competitive positioning, and OpenAI’s broader business objectives. - Create executive- and CFO-ready proposals, ROI analyses, value narratives, and business cases for highly complex and/or first-of-kind deals. - Support critical customer and executive conversations by presenting recommendations, business cases, and the rationale behind proposed commercial approaches. - Build and maintain practical ROI frameworks, calculators, proposal templates, and value narratives that account teams can apply across opportunities. - Contribute to scalable deal-support mechanisms, including negotiation playbooks, deal clinics, office hours, and structured intake processes. - Partner with Pricing, Deal Desk, Finance, Product, Legal, Revenue Operations, Enablement, and Strategy to ensure deal recommendations reflect current products, commercial guidance, and business priorities. - Turn lessons from strategic and bespoke deals into reusable resources that improve speed, consistency, and seller productivity. - Apply AI to improve deal workflows and scalability through tools such as automated deal briefs, knowledge retrieval, guided proposal development, and self-service resources. - Identify recurring themes across strategic deals and share insights that can inform future commercial approaches, field motions, products, and policies. You might thrive in this role if you have: - 8+ years of experience in deal strategy, strategic sales, strategic pricing, commercial strategy, or a related function. - Experience partnering directly with sales teams on highly complex, high-value, or first-of-kind commercial opportunities. - A track record of personally developing deal strategies, customer proposals, ROI models, or business cases that helped advance commercial outcomes. - Strong communication and storytelling skills, with the ability to translate complex products and commercial concepts into clear, compelling customer narratives. - Financial and analytical rigor, including experience developing ROI analyses and executive- or CFO-ready materials. - Experience working across Sales, Finance, Product, Legal, Pricing, and Operations to navigate complex commercial decisions. - Strong judgment and the ability to bring structure and clarity to ambiguous or highly bespoke commercial situations. - A collaborative, hands-on approach and comfort working directly with account teams and customers in fast-moving deal cycles. - Familiarity with using AI to improve workflows, scale expertise, and increase productivity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Systems Test Engineer, End-to-End Validation | Con...
ABOUT THE TEAM OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Systems Integration team is critical in this mission, turning complex hardware-software development into reliable product signals. We validate complete device experiences across software, cloud services, connectivity, accessories, and real-world operating environments, combining hands-on system testing, structured test development, hardware-in-the-loop environments, diagnostics, and automation to uncover issues that component-level testing alone cannot reveal. ABOUT THE ROLE As a Systems Test Engineer, End-to-End Validation, you will design and execute end-to-end testing for complex device experiences spanning hardware, software, connectivity, cloud services, and accessories. You’ll translate product behavior and real-world use cases into structured, reproducible test procedures and build test environments that allow failures to be reliably reproduced and diagnosed. You’ll also identify opportunities to automate repetitive or high-value scenarios, working with engineers to turn complex manual workflows into scalable validation systems. Because this is a new category of devices, you’ll have the opportunity to build the end-to-end validation foundation early—shaping test coverage, environments, and workflows from prototype through launch. We’re looking for someone who combines strong systems thinking, hands-on testing skills, technical curiosity, and a rigorous approach to reproducing and diagnosing failures across multiple components. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Design end-to-end test coverage: Develop structured test plans and reproducible procedures for user journeys, realistic usage patterns, edge cases, degraded conditions, and failure scenarios across devices, services, connectivity, and accessories. - Build and operate complex test environments: Maintain setups involving devices, servers, networks, accounts, peripherals, accessories, and controlled environmental conditions; prepare devices and environments for release validation, execute test campaigns, track results, and communicate risks and blocking issues. - Reproduce failures and diagnose systems: Reproduce complex failures, isolate contributing components, collect logs and telemetry, and provide engineers with clear reproduction steps and supporting evidence. - Automate high-value scenarios: Identify repeatable manual workflows that benefit from automation and develop or partner on tooling for device control, setup, measurement, data collection, and test execution. - Strengthen regression coverage: Convert field issues, production failures, and previously discovered bugs into repeatable regression tests and maintain coverage across product releases. - Partner across teams: Work with embedded, systems, cloud, hardware, QA, and product teams to understand system behavior, improve testability, and close gaps in validation coverage. MINIMUM QUALIFICATIONS - Experience with system-level, integration, end-to-end, or validation testing for complex hardware-software products. - Skill in translating loosely defined product behavior into clear, repeatable, and measurable test procedures. - Experience testing systems that span devices, networks, backend services, mobile applications, or connected accessories. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Enjoy hands-on debugging and can methodically isolate failures across hardware, firmware, software, connectivity, and cloud services. - Are comfortable working with logs, diagnostics, command-line tools, network tools, and device configuration utilities. - Have experience automating tests or test setups using Python or similar scripting tools, while recognizing when manual testing provides better coverage. - Understand how to create reliable test environments with controlled setup, configuration, preconditions, expected results, and recovery procedures. - Are comfortable working across engineering disciplines and communicating complex failures with clear evidence and reproducible steps. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
PCB Layout Engineer, Robotics
About the Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a PCB Layout Engineer to design high-density electronics for next-generation robotic systems. You will own PCB layout from floor planning through fabrication release, working closely with electrical, SI/PI, mechanical, and manufacturing teams. This role is based in San Francisco and requires in-person presence four days per week. In this role, you will: - Own PCB layout, component placement, routing, and fabrication release for complex robotic systems. - Collaborate with SI/PI engineers to refine layouts based on simulation results. - Implement high-speed routing, controlled impedance, power distribution, decoupling, grounding, EMI/EMC, thermal, and mechanical-integration requirements. - Work directly with fabricators and assembly partners to define stack-ups, establish design rules, drive DFM/DFA/DFT reviews, and close findings before release. - Prepare fabrication and assembly documentation, including drawings, ODB++, drill files, stack-up tables, and manufacturing notes. - Inspect newly received PCBAs and participate in board-level manufacturing failure analysis. - Contribute to reusable design constraints and layout workflows, and maintain component-library assets such as symbols, footprints, and 3D models. You might thrive in this role if you: - Have 6+ years of experience designing complex, multilayer PCBs. - Are fluent in Cadence Allegro PCB Designer and Constraint Manager. - Have strong HDI design experience, including fine-pitch BGAs, microvias, blind and buried vias, via-in-pad, and sequential lamination. - Understand signal and power integrity fundamentals, including return paths, differential pairs, length matching, crosstalk, and power delivery. - Have experience working with PCB fabricators on stack-up development, manufacturing constraints, and DFM. - Communicate effectively across engineering disciplines and with external manufacturing partners. Preferred qualifications: - Experience with rigid-flex boards or other mechanically constrained designs. - Experience routing PCIe, DDR, USB, Ethernet, MIPI, or similar high-speed interfaces. - Familiarity with SI/PI simulation tools such as Cadence Sigrity or Ansys SIwave. - Experience laying out power supplies or other power-electronics circuits or mixed-signal systems. - Familiarity with IPC standards, Cadence SKILL scripting, or layout automation. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Infrastructure Sourcing Operations Lead
About the Team OpenAI's Industrial Compute organization is building and scaling the infrastructure required to support frontier AI. The Infrastructure Strategic Sourcing team connects technical and project requirements to supplier readiness, contracting, purchasing, equipment delivery, and portfolio-level risk visibility across owner-furnished contractor-installed equipment (OFCI), data center networking, rack systems and integration, fiber, cabling, optical interconnects, and related infrastructure. The team partners across Pre-Construction, Design, Construction, Electrical and Mechanical Engineering, Network Engineering, Hardware and Rack Delivery, Strategic Sourcing, Procurement, Legal, Finance, Accounts Payable, Logistics, and external suppliers. We build the operating mechanisms that keep sourcing decisions, purchase execution, long-lead equipment, network and fiber dependencies, rack readiness, and delivery commitments aligned to infrastructure schedules. About the Role We are seeking an Infrastructure Sourcing Operations Lead to own procurement operations across pre-construction, design, construction, and sourcing through purchase order issuance, while maintaining visibility through invoice resolution, production, logistics, delivery, installation, and readiness. The portfolio includes electrical and mechanical OFCI, networking equipment, rack systems and integration, fiber, cabling, optical interconnects, and other infrastructure required to bring capacity online. In this role, you will set priorities, make or escalate decisions that affect cost, supplier relationships, contractual position, and delivery schedules, and define the standards used by execution support for queue management, documentation, tracker maintenance, and recurring reporting. Success requires sound commercial and program judgment, operational rigor, systems thinking, and the ability to turn incomplete information across vendors, tools, and project teams into clear decisions, accountable actions, and credible leadership reporting. Key Responsibilities - Own sourcing-operations intake and prioritization, translating requirements and need-by dates across electrical and mechanical OFCI, networking, rack systems, fiber, cabling, optical interconnects, and related infrastructure into actionable procurement workstreams aligned to project schedules. - Drive vendor readiness and onboarding; own exceptions, stakeholder commitments, escalations, and readiness decisions before purchase execution. - Lead contract coordination for NDAs, service agreements, master agreements, statements of work, and related workflows; resolve nonstandard business issues and drive Legal and stakeholder decisions. - Own purchase-order strategy, package quality, approval sequencing, urgent escalations, and exceptions through PO issuance. - Review invoice exceptions involving quantity, pricing, tax, delivery evidence, payment terms, or other commercial discrepancies and determine the recommended resolution. - Maintain portfolio visibility across electrical and mechanical OFCI, networking equipment, rack systems and integration, fiber, cabling, optical interconnects, and related infrastructure from design and configuration readiness through production, shipment, delivery, installation, testing, and exception closure; assess critical-path and capacity impact and lead supplier escalation. - Own source-of-record requirements, including data definitions, status logic, milestones, permissions, restricted cost visibility, governance, and reporting quality. - Design and continuously improve operating mechanisms, SOPs, intake processes, templates, escalation paths, and tool workflows across Procurement, Legal, Finance, vendors, and Infrastructure teams. - Produce concise leadership reporting that distinguishes facts from assumptions, surfaces aging decisions and material risks, quantifies schedule or commercial impact, and recommends action. Qualifications - 8+ years of experience in sourcing operations, procurement, infrastructure program management, construction operations, supply chain, or a related field, or equivalent demonstrated experience. - Demonstrated ownership of complex procurement or capital-project workflows spanning vendor readiness, contracting, PO execution, invoice management, and delivery tracking. - Experience integrating supplier commitments and long-lead requirements across OFCI, networking, rack systems, fiber, cabling, or interconnect infrastructure with design, construction, commissioning, deployment, and operational need-by dates. - Strong critical-path, risk-management, and recovery-planning capability, with evidence of driving issues through closure under schedule pressure. - Experience building scalable operating mechanisms, dashboards, KPIs, trackers, SOPs, and governance for data distributed across multiple systems and stakeholders. - Sound commercial judgment and the ability to frame nonstandard contract, pricing, invoice, or supplier issues for timely decisions. - Proven ability to influence Procurement, Legal, Finance, Engineering, Construction, suppliers, and senior leaders without direct authority. - Excellent written and verbal communication skills, including concise executive updates and clear separation of facts, assumptions, risks, and recommendations. - Ability to manage multiple concurrent, high-priority workstreams in a fast-paced and ambiguous environment. Preferred Skills - Experience with hyperscale data centers, AI infrastructure, cloud infrastructure, mission-critical facilities, advanced manufacturing, or other large capital programs. - Working knowledge of critical electrical and mechanical OFCI, data center networking, rack architecture and integration, fiber and structured cabling, optical interconnects, controls, and commissioning equipment, including the dependencies from design and configuration readiness through delivery, testing, installation, and startup. - Experience with procurement, contract-lifecycle, workflow, and reporting platforms. - Experience launching tools, participating in user acceptance testing, training users, and driving adoption of standardized processes. - Bachelor's degree in engineering, construction management, supply chain, business, operations, finance, or equivalent practical experience; relevant professional certification is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Head of Deal Strategy, EMEA
About the Role OpenAI is seeking a senior, hands-on commercial leader and builder to establish and scale Deal Strategy across EMEA while personally shaping and executing some of our most complex and high-impact commercial opportunities. As AI becomes increasingly important to how organizations operate, the ability to translate sophisticated products and commercial structures into clear, compelling customer narratives is a strategic advantage. This is a builder role that will begin as a high-impact individual contributor. The successful candidate will establish the EMEA Deal Strategy motion hands-on with the potential over time to build and lead a broader regional team. In this role, you will serve as the EMEA Deal Strategy leader and an embedded strategic partner to account teams, with a particular focus on high-value, complex, and first-of-kind deals. You will work directly with sellers and cross-functional partners to personally lead the overall deal strategy, structuring, value narrative, negotiations, and business cases that bring business terms to contractual closure. You will also translate insights and patterns from individual deals into a regional operating model, practical frameworks, tools, and resources that improve the quality, consistency, and scalability of deal execution across the field. This role partners closely with Sales, Pricing, Deal Desk, Strategy, Revenue Operations, Finance, Product, and Legal to help OpenAI move quickly, strengthen proposal quality, and navigate complex commercial opportunities effectively. In this role, you will: - Partner directly with EMEA account teams on complex, high-value, and strategic opportunities, from initial deal strategy through customer proposal, negotiation, and deal closure. - Develop deal strategies that bring together customer priorities, commercial considerations, competitive positioning, and OpenAI’s broader business objectives. - Create executive- and CFO-ready proposals, ROI analyses, value narratives, and business cases for highly complex and/or first-of-kind deals. - Support critical customer and executive conversations by presenting recommendations, business cases, and the rationale behind proposed commercial approaches. - Build and maintain practical ROI frameworks, calculators, proposal templates, and value narratives that account teams can apply across opportunities. - Contribute to scalable deal-support mechanisms, including negotiation playbooks, deal clinics, office hours, and structured intake processes. - Partner with Pricing, Deal Desk, Finance, Product, Legal, Revenue Operations, Enablement, and Strategy to ensure deal recommendations reflect current products, commercial guidance, and business priorities. - Turn lessons from strategic and bespoke deals into reusable resources that improve speed, consistency, and seller productivity. - Apply AI to improve deal workflows and scalability through tools such as automated deal briefs, knowledge retrieval, guided proposal development, and self-service resources. - Identify recurring themes across strategic deals and share insights that can inform future commercial approaches, field motions, products, and policies. You might thrive in this role if you have: - 8+ years of progressively responsible experience in deal strategy, strategic sales, strategic pricing, commercial strategy, or a related function, ideally with regional or multi-market scope. - Experience partnering directly with sales teams on highly complex, high-value, or first-of-kind commercial opportunities. - A track record of personally developing deal strategies, customer proposals, ROI models, or business cases that advanced commercial outcomes and created broader organizational impact. - Strong communication and storytelling skills, with the ability to translate complex products and commercial concepts into clear, compelling customer narratives. - Financial and analytical rigor, including experience developing ROI analyses and executive- or CFO-ready materials. - Experience leading through influence across Sales, Finance, Product, Legal, Pricing, and Operations to navigate complex commercial decisions and align senior stakeholders. - Strong judgment and the ability to bring structure and clarity to ambiguous or highly bespoke commercial situations. - A hands-on leadership approach: you are comfortable starting as an individual contributor, working directly with account teams and customers in fast-moving deal cycles, and building credibility through execution. - Demonstrated leadership potential—such as setting direction, mentoring others, building programs or operating rhythms, and mobilizing cross-functional teams—whether or not you have previously held formal people-management responsibility. - Familiarity with using AI to improve workflows, scale expertise, and increase productivity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategic Finance Lead - Compute
ABOUT THE ROLE We are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions. In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling - Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet - Serve as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and cluster - Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing - Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment - Partner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected contract and usage data - Comfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiences - A proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisions - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experience - Experience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neoclouds - Direct experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurement - Deep expertise in GPU vendor economics, contract structures, and pricing models - Experience with chip architecture economics and optimization strategies - Proficiency with financial modeling tools
Technical Program Manager, Foundations Data and Op...
About the Team The Search research team focuses on building the systems that help AI systems find, retrieve, and use information from the world. We aim to make answers more useful and grounded for more than a billion ChatGPT users. About the Role We’re looking for a Technical Program Manager to lead a broad portfolio of research and engineering programs that power search. You’ll partner closely with researchers, engineers, and product leaders to turn ambitious goals into clear plans, resolve dependencies, and move complex technical work forward. This role combines technical depth, product judgment, and hands-on execution. You’ll work across retrieval, indexing, and model improvements, while collaborating with policy, legal, and external data partners. You’ll help teams make informed tradeoffs and build practical ways of working that support a fast-moving research environment. This role is based in San Francisco, CA. In this role, you will: - Lead programs across model training, retrieval, large-scale indexing, and search infrastructure. - Translate evolving goals into prioritized workstreams with clear owners, milestones, dependencies, and resource needs. - Partner with research, engineering, and product leads to define requirements and make tradeoffs across scope, quality, performance, timelines, and cost. - Establish program success metrics and use them to guide priorities and track improvements in coverage, answer quality, responsiveness, and trust. - Identify technical and cross-functional risks early, drive blockers to resolution, and communicate progress and decisions clearly to teams and leadership. - Coordinate with product, policy, legal, and external partners on data access, use, and presentation, helping teams resolve decisions that span technical and non-technical domains. - Manage dependencies with data providers and build repeatable processes that help research and engineering teams execute effectively as the search effort grows. You might thrive in this role if you: - Have substantial technical experience and a record of delivering complex programs across multiple engineering teams and a large technical stack. - Have worked on search, information retrieval, indexing, or similarly complex systems. Direct experience with consumer or enterprise search products is especially valuable. - Can understand technical architectures and tradeoffs, ask useful questions, and communicate effectively with both engineers and researchers. - Bring clarity to ambiguous research problems and adapt plans as teams learn, while maintaining ownership and momentum. - Combine product judgment with program discipline, connecting technical decisions to the quality of the user experience. - Are resourceful and hands-on, comfortable moving between program strategy and the details needed to unblock execution. - Build trust across functions, communicate clearly, and influence decisions across teams with different priorities. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategic Account Executive, Healthcare
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 Strategic Account Executive (Healthcare) at Anthropic, you'll join the foundational team at the forefront of introducing our frontier AI platform to healthcare organizations. You'll drive adoption of safe, frontier AI by securing strategic deals with health systems, hospitals, and payor organizations. You'll leverage your consultative sales expertise in healthcare to grow revenue while becoming a trusted partner to healthcare stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with healthcare decision-makers. The ideal candidate has a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you'll help healthcare enterprises obtain new capabilities while advancing the ethical development of AI. Key responsibilities - Own a book of strategic, high-value accounts across health systems, hospitals, and payor organizations — driving the full sales cycle from outbound to close and navigating complex organizations to reach key clinical, administrative, and payor decision-makers - Design and execute sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes, translating market landscape and trend analysis into targeted account plans and campaigns that meet and exceed revenue targets - Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for both healthcare delivery and payor use cases - Run a disciplined pipeline and forecasting cadence, managing an evolving sales process to deliver predictable, coachable performance against quota - Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition for healthcare organizations - Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across health systems and payors Minimum qualifications - 5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organizations - A track record of managing complex, multi-stakeholder sales cycles within healthcare organizations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases - Extensive experience negotiating complex agreements within healthcare procurement frameworks, including value-based care contracts and payor policies - Proven experience exceeding revenue targets in healthcare by effectively managing an evolving pipeline and sales process - Excellent communication skills, with the ability to present confidently across healthcare audiences — from physicians and nurses to C-suite executives and payor leadership - A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications - Deep understanding of healthcare buying cycles, decision-making processes, and key pain points across both provider and payor organizations - A strategic, analytical approach to assessing the healthcare market, paired with creative, tactical execution to capture opportunities - Experience developing and refining healthcare AI use cases in collaboration with customers and channel partners, with particular focus on care delivery, population health, and administrative efficiency - Passion for and/or experience with advanced AI systems and their clinical applications, with strong conviction around safe, ethical development for AI in clinical use 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.
Sales Enablement Lead, GTM Onboarding
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 Go-To-Market team is growing quickly, and every new Account Executive, BDR, and GTM teammate we hire needs to become productive, confident, and credible on Claude faster than at any other company. The GTM Onboarding program is one way that happens. It's the first experience new hires have of how we sell, who our customers are, what our products do, and how we work together — and it sets the trajectory for their ramp. We're looking for someone to own that program end to end. You'll design and run recurring onboarding cohorts for new GTM hires: building the curriculum, coordinating facilitators from across Sales, Marketing, Applied AI, and Product, running live sessions, and making sure every cohort leaves ready to have real customer conversations. This person will be the front door to GTM. You will set the tone for new hires’ first impression of Anthropic and our team. You'll also own what happens after onboarding ends. That means measuring ramp, tracking attendance and comprehension, gathering feedback, and using what you learn to improve the next cycle. You'll build and maintain the operational machinery behind the program — rosters, calendars, facilitator communications, mock discovery calls — and you'll use Claude itself to automate as much of it as possible. This is a highly cross-functional role. You'll partner with GTM leadership, hiring managers, Revenue Operations, Marketing, and product teams to keep the program current as our products and sales motions evolve. You’ll work closely with subject matter experts, but you'll need to be a generalist who can help new hires connect the dots and build robust mental models for how the business operates. This role reports into the GTM Enablement team. Key responsibilities - Own the GTM Onboarding program end to end: curriculum design, cohort scheduling, facilitator coordination, live delivery, and continuous improvement - Design and deliver training that makes Anthropic's products, sales motions, customer stories, and tools (Salesforce, Gong, Apollo, and others) accessible to sellers from a range of backgrounds - Serve as an extension to subject matter experts on Claude for Enterprise, Claude Code, and the Claude Developer Platform for new GTM hires, and keep onboarding content accurate as products change - Recruit, prepare, and support a rotating bench of internal facilitators and field volunteers, including briefing them on each cohort's composition and running mock discovery calls with new AEs - Build and maintain the program's operational infrastructure — rosters, calendar logistics, and communications — and automate recurring work using Claude - Measure program effectiveness through attendance, comprehension checks, feedback surveys, and ramp metrics, and present findings and recommendations to GTM leadership - Build and maintain 30/60/90 day ramp plans and post-onboarding resources that carry new hires from cohort to quota - Partner with hiring managers, Revenue Operations, Marketing, and product teams to identify enablement gaps and incorporate new content into the program - Work with the global enablement team to adapt and extend the program for international GTM teams and new role types as the organization grows Minimum qualifications - Experience in sales enablement, and/or program management-related roles - Have designed and delivered onboarding or training programs for sales teams, including building curriculum and facilitating live sessions - Can translate technical product concepts into clear, practical language for non-technical audiences - Bring strong program management skills, with a track record of running recurring, multi-stakeholder operations reliably - Apply adult learning principles to how you design and sequence training - Communicate clearly and credibly with new hires, facilitators, and senior GTM leadership - Work effectively in fast-moving environments with high ambiguity, and are comfortable building where no process exists yet - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - 6+ years experience in sales enablement, and/or program management-related roles - Experience running sales onboarding at a company that scaled significantly - Have used Claude or similar AI tools to automate operational workflows, and are enthusiastic about doing more of it - Experience measuring and reporting on sales ramp performance - Experience adapting enablement content for international or multi-language audiences - Prior experience as a quota-carrying seller, sales engineer, or customer-facing technical role 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 - $190,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
People 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. We're looking for a People Specialist to join our People Team. You'll support People Partners and cross functional teams on the work that helps our managers do their jobs well: performance cases, org changes, manager resources, and the operational processes underneath all of it. Some weeks you'll be deep in a sensitive performance case coaching a manager. Other weeks you're cleaning up a process, rebuilding a tracker, or helping prep a leader for a hard conversation. We need someone who takes both kinds of work seriously and holds the same quality bar for each. A lot of the work is sensitive. You'll be close to performance management, org restructures, and situations that touch ER or Employment Legal. Good judgment about what to share, with whom, and in what form is paramount. Key responsibilities - Manage performance casework: building documentation, tracking timelines, prepping talking points, and keeping details from falling through the cracks while owning the process end to end - Own and improve operational processes that managers and People Partners depend on, including outside business activity requests and reorg processing - Build, maintain, and improve manager resources and documentation so they're actually useful and actually current - Partner with Leadership Design on manager enablement programs like the performance cycle: logistics, content, delivery, and the unglamorous operational work that makes programs run - Pull and compile reports and data for sensitive personnel matters - Maintain tracking systems for casework and manager enablement initiatives; make them better than you found them Minimum qualifications - You've supported complex or sensitive casework before and can work with partial information, messy handoffs, and tight timelines - You're detail-oriented: you catch things, close loops, and remember where to find crucial information - Strong written communication. You'll be drafting things leaders use in hard conversations, and you're not precious when they get edited (you used Claude as a guide but not as a final editor) - Good judgment on need-to-know. You think about what to share, with whom, and what goes in writing versus what stays verbal - You'll push back when something's off. You have a point of view and you're comfortable raising concerns with people more senior than you - Comfortable with range. You don't check out on the tedious work or treat it as beneath you Preferred qualifications - 5+ years in an HR- role: people operations, HR coordination, HRBP, or similar - Experience at a high-growth tech company where process was being built - Direct experience supporting HRBPs, Managers and Employees through challenging and sensitive matters - Working knowledge of HR compliance requirements - Interest in AI safety - Claude power user in your current role The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $235,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Communications Lead, DACH
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a communications lead to run our communications strategy in Germany, Austria and Switzerland (DACH region). Based in Munich, you will shape how Anthropic shows up in the region, shaping our enterprise and product narrative, navigating complex policy matters and introducing our brand to audiences beyond AI. You will report to the Head of EMEA Communications. This is a first-in-market role. You will operate as the communications voice on the ground, building Anthropic's brand and bringing our AI safety mission to life with mainstream, policy and technical audiences. You will be fluent in German and English, comfortable handling mainstream news stories and AI policy issues, and energised by the prospect of building something from scratch inside one of the world's most consequential technology companies. Responsibilities - Own the communications strategy for the DACH region, translating Anthropic's global momentum, research leadership, and product innovation into stories that resonate locally - Lead corporate communications in the region. Engineer landmark moments and high-quality reference pieces that establish Anthropic as one of the world's most admired companies and a serious economic force in Europe - Make communications a strategic partner to GTM. Cement Claude's enterprise leadership and demonstrate how our responsible approach to building safe AI is earning the trust of decision-makers in regulated industries - Build policy communications that help define AI's positive future in the region. In partnership with our policy team, showcase how AI is transforming science, education, and the public sector, while navigating sensitive conversations on sovereignty, copyright, and regulation - Develop and steward relationships with the journalists, creators, and influencers shaping the AI debate in the region - Provide communications counsel and media preparation for Anthropic spokespeople and customer executives - Build out team operations and agency support so we can tell our story at scale You may be a good fit if you - Have around 10 years of communications experience, ideally including in-house roles at AI or high-growth technology companies - Are genuinely excited about AI and care deeply about the safe development of transformative AI systems - Are a competent media handler, especially working directly with reporters in Germany - Have a strong grasp of the European AI landscape — the companies, founders, investors, journalists, and policymakers shaping the conversation - Have run international communications programs for a US-headquartered technology company, with meaningful experience in Germany - Are skilled at managing senior stakeholders and giving sharp counsel to executives - Are fluent in German and English as a minimum. Fluency in additional European languages is a plus Strong candidates may also have - Direct experience in communications for AI companies, high-growth startups, or research labs - Existing relationships with key voices shaping the AI debate in Germany - Additional experience in financial services, healthcare, or life sciences communications 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.
Technical Program Manager, Partnerships
About the Team OpenAI's Research Team is at the forefront of AI research, pushing the limits of what AI can achieve. Our team is dedicated to developing advanced AI systems that are powerful, safe, and beneficial for everyone. About the Role The Research IP Partnerships team is in need of Technical Program Managers (TPMs) to streamline the integration of our applied research with external strategic partners. This role is critical for synthesizing research from cross functional teams, enabling model deployment, and ensuring new technologies are effectively adopted. You will act as the connection that enables our partners to deploy the most advanced AI models. Your primary focus will be to increase our research velocity and ensure that our deployments are successful and collaborative with our partners. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build and share a deep understanding of frontier AI model development - Partner with internal and external teams to drive deployment of the latest OpenAI technologies - Manage critical inquiries from both technical and non-technical partners - Design and implement simple, scalable processes that solve complex problems - Deliver high-profile pipeline and tooling projects on tight deadlines - Work across research and engineering to align goals, streamline communication, and support business priorities You might thrive in this role if you: - Have experience in a strategic partnerships and technical program management role - Can right-size process to align stakeholders while ensuring speed of delivery (action-oriented) - Are fantastic at building cross-functional relationships and having empathy for the many roles involved in deploying research - Can design and build tools (via code / no-code / AI) to facilitate internal processes - Are a great communicator across written, presentation, and visual forms. - Are engaged and curious about the rapidly evolving AI landscape. Specific technologies / skills that will be helpful in this role - Experience with agentic models or OpenAI LLM APIs - No-Code/Low-Code Platforms: e.g. Airtable, Zapier, Retool About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Researcher, Alignment Interpretability
ABOUT THE TEAM The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the alignment of powerful AI systems. Our working style is collaborative and curiosity-driven. ABOUT THE ROLE OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. In this role, you will: - Develop and publish research on techniques for understanding representations of deep networks. - Engineer infrastructure for studying model internals at scale. - Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue. - Guide research directions toward demonstrable usefulness and/or long-term scalability. You might thrive in this role if you: - Are excited about OpenAI’s mission https://openai.com/about/ of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter https://openai.com/charter/. - Show enthusiasm for long-term AI safety & alignment, and have thought deeply about technical paths to safe AGI. - Bring experience in the field of AI safety & alignment, mechanistic interpretability, or spiritually related disciplines. - Hold a Ph.D. or have research experience in computer science, machine learning, or a related field. - Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area. - Possess 2+ years of research engineering experience and proficiency in Python or similar languages. - Are deeply curious. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
AI Support Engineer - Tokyo (Korean Speaking)
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual—fluent in both Korean and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Speak fluent business-level Korean. - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
AI Support Engineer - Singapore (Korean Speaking)
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual—fluent in both Korean and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Speak fluent business-level Korean. - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategic Deals Lead, Compute 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 a Strategic Deals Lead, you will shape and execute Anthropic's partnerships with the hyperscalers and cloud service providers that supply the compute we train and serve frontier models on. As Anthropic scales its infrastructure footprint, you will originate, structure, negotiate, and close the deals that put that strategy into effect — securing large-scale compute capacity and, increasingly, shaping how Anthropic's models are distributed, priced, and sold through those same partners' platforms Securing that infrastructure at scale requires cultivating strong partnerships across the hyperscaler and cloud service provider ecosystem — partnerships that cut across compute, go-to-market, and product teams. These relationships span multi-year compute commitments, financing structures, model availability on the partner's platform, co-selling and marketplace arrangements, and joint go-to-market motions. You will be the person who connects those threads: working with engineering and infrastructure teams to understand what compute Anthropic needs, and with product, go-to-market, finance, and legal teams to make sure the commercial and distribution terms we agree to reinforce rather than constrain each other. We are looking for people who combine a deep understanding of cloud and AI infrastructure with strong strategic judgment, financial acumen, and the negotiating skill to close complex agreements at the terms and timelines Anthropic requires. You will be an integral part of a team focused on ensuring Anthropic has the resources it needs to pursue its mission of developing safe, beneficial AI systems. Key responsibilities - Own the strategy and deal pipeline that expands Anthropic's access to compute and infrastructure, and connects the product and go-to-market components of those partnerships. - Lead the full deal lifecycle for large-scale cloud and compute transactions, from opportunity identification and term sheet development through negotiation, execution, and close Build and own executive-level relationships with commercial, finance, product, and legal counterparts at hyperscalers and cloud providers - Support product and go-to-market leadership in structuring and negotiating the product and go-to-market elements of hyperscaler partnerships — including model availability on partner platforms, marketplace and co-sell arrangements, pricing and revenue-share constructs, and joint customer motions - Bring capital markets and finance expertise to transactions, developing frameworks for evaluating deal economics, counterparty risk, and the financing components of compute infrastructure - Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term compute and ecosystem strategies and commercially viable deal terms - Partner with Legal, Finance, Product, and Engineering to align deal terms with Anthropic's technical, financial, commercial, and risk requirements - Monitor market, technology, competitive, and financing developments across the AI infrastructure landscape and provide clear recommendations and deal reporting to senior leadership Minimum qualifications - Experience in cloud computing, AI infrastructure, or adjacent technology ecosystems, with a strong understanding of hyperscaler platforms, compute and accelerator technologies, and cloud and infrastructure economics - Demonstrated track record of structuring, negotiating, and closing complex, high-value technology transactions or strategic partnerships as the lead negotiator. This role requires someone who can operate independently from day one - Experience negotiating agreements that combine infrastructure or capacity terms with commercial, product, or go-to-market terms, and an understanding of how those components interact - Ability to work effectively with technical teams and translate complex engineering concepts into deal structures and strategic business recommendations - Experience building partnerships and influencing senior stakeholders across internal and external organizations, including executive leadership Preferred qualifications - 8-10+ years of experience in strategic deals, corporate development, partnerships, investment banking, or business development at technology companies, hyperscalers, cloud providers, or financial institutions, with direct transactional ownership - Direct experience working with or inside a hyperscaler on AI or cloud partnerships, including familiarity with model gardens, marketplaces, co-sell programs, and partner economics - Experience managing multiple high-value transactions simultaneously at different stages of maturity and commercial development - Working understanding of capital markets and vendor financing, including how large infrastructure commitments are financed, with the ability to shape the financing side of a transaction alongside its commercial terms - Strong financial modeling skills, including the ability to build and pressure-test economics for large infrastructure projects - Comfort operating in fast-moving, ambiguous environments where market structures, provider economics, and partnership norms are still evolving The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $325,000 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.
Senior Manager, IT SOX
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Manager, IT SOX to join the Internal Audit team at Anthropic. In this role, you will be a hands-on technical contributor and key executor of our IT SOX compliance program, with deep focus on our IT General Controls, IT Application Controls, and system risk assessments. This role reports to the Head of IT SOX and is well-suited for someone who is comfortable with ambiguity, thrives in a high-pace environment, and enjoys solving problems that don't yet have industry-standard answers. This is a high-impact opportunity to collaborate with first and second lines of defense to help establish a control environment suitable for an AI-first company! You will act as a trusted advisor to Engineering, GRC, Security and Finance teams on the technology controls adapted to a fast growing and rapidly changing organization. You'll bring technical depth, a bias toward automation, and the ability to partner effectively with both technical teams and external auditors as the organization scales through pre-IPO readiness. Key responsibilities - Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models - Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls - Assess new system implementations and changes - Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities - Assist in scoping and planning for annual SOX IT assessments - Execute IT SOX testing across IT General Controls and IT Application Controls, including access management, change management, and computer operations - Perform system and process risk assessments to identify control gaps and recommend remediation - Own control documentation and ensure audit-ready evidence is current and complete - Evaluate IT automated controls and support the shift from manual to automated control reliance - Scale the IT SOX program as the company grows — rationalizing scope, standardizing testing approaches, and building repeatable processes that keep pace with new systems and entities - Guide and direct the day-to-day work of internal team members and co-sourced partners: setting priorities, reviewing workpapers, and ensuring quality and consistency across the testing program - Build strong working relationships with process and control owners across the organization - Translate technical control requirements for non-technical stakeholders and vice versa - Support SEC cybersecurity disclosure requirements and related risk monitoring efforts - Coordinate with external auditors on IT SOX matters, including evidence requests, walkthroughs, and testing schedules - Track and assist with remediation of audit findings; communicate status to the Head of IT SOX and relevant stakeholders - Minimum qualifications - Hands-on IT audit or IT SOX compliance experience, ideally in a fast-paced technology environment - Deep working knowledge of ITGCs, ITACs, and IT risk assessment methodologies - Experience auditing highly automated DevOps environments (CI/CD pipelines, infrastructure-as-code, automated deployments) and adapting traditional change-management and access controls to them - Experience designing, testing, and documenting controls across access management, change management, and computer operations - Demonstrated comfort with ambiguity and the ability to operate effectively in a high-pace, rapidly changing environment - Ability to effectively guide and direct the work of internal team members and/or co-sourced partners - Ability to work independently on complex, ambiguous workstreams while communicating proactively with senior stakeholders - Strong project management and organizational skills with close attention to detail - Clear, effective communicator — able to work across technical and non-technical audiences Preferred qualifications - 8+ years of hands-on IT audit and SOX compliance experience, including time in a Big 4 or comparable environment - Hands-on experience with cloud environments (GCP, AWS, and/or Azure) - Experience at a pre-IPO or newly public technology company - Track record of scaling an audit or SOX program through periods of rapid growth - Familiarity with enterprise systems such as Workday, Salesforce, or GitHub - Experience evaluating SDLC controls in modern software development environments - CISA, CIA, CISSP, CPA, or equivalent certification - Genuine enthusiasm for working in an AI-first environment — applying AI to audit work itself and rethinking assumptions about how controls operate when AI is embedded in the processes being audited The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Safeguards Enforcement Lead, User Well-Being
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Lead on the User Well-Being team, you will be responsible for managing our child safety, mental health, abuse and exploitation, and age assurance enforcement workflows. This will include managing the team responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to these harms. This is a management role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities - Manage a team of individual contributors across multiple policy areas under the User Well-Being banner - Serve as the primary point of contact for review partners conducting content review, including onboarding, training, quality assurance, and ongoing relationship management - Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions - Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for User Well-Being policies - Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale - Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in technology, and use these to inform our workflows - Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership - Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy Minimum qualifications - Experience managing teams in the User Well-Being space - Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, mental health, abuse and exploitation, and age assurance harm areas - Experience managing or coordinating content review operations, including quality assurance and workflow management - Experience standing up and scaling policy enforcement or content review workflows - Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends - Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams - Understanding of the challenges involved in implementing product policies at scale in the content moderation space Preferred qualifications - Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), online child protection, mental wellness, and age assurance - Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies - Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks - Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate abusive content - Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material - Proficiency in Python for workflow automation or data analysis - Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection - Familiarity with age assurance technologies and their role in child safety enforcement The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
People Partner, G&A
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a senior HR Business Partner based in the San Francisco Bay Area to support our People organization including Recruiting and support our Communications team. This role will be a critical member of the HRBP team, working on key HR projects in alignment with our partners across Compensation, Benefits, Recruiting, and others while providing excellent coaching and strategic support to senior leaders and managers across People & Comms functions who enable Anthropic's mission to create safe, beneficial AI systems. You will help build out HR policies and strategies that meet your clients' unique needs, and act as a trusted leader and guide on a wide range of employee-related topics. Key responsibilities - Act as a trusted advisor and coach to leaders across People and Communications teams, including senior executives in these functions - Provide support to employees and managers on all human resource-related topics throughout their lifecycle at Anthropic in partnership with other People team experts (e.g. Benefits, Compensation, etc.) - Work closely with management to create a culture of high performance based on our values and team culture while helping ensure that performance management and employee relations issues are managed appropriately - Act as a partner and liaison with specialist teams (e.g. Benefits, Compensation, etc.), leadership, and finance, to help Anthropic continue to implement top-tier, scalable programs and policies to attract, retain, and grow outstanding talent at Anthropic - Work on cross-functional projects with other HRBPs and partners in specialist teams to enable and grow our Ants (e.g. Manager training, etc.) - Partner closely with G&A leadership to support organizational design, workforce planning, and talent development initiatives specific to business-critical functions Minimum qualifications - Have experience operating at a fast-growing tech company in HR, and fluency with employment law and best practices in North America - Have worked at a tech company, start-up, or a similarly fast-paced environment - Understand the unique needs and challenges of supporting G&A functions in a high-growth environment Preferred qualifications - 8 + years experience working as a HRBP, People Operations, Employee Relations, Recruiting, or other closely related functions - Have specific experience partnering with People and Comms teams in high growth tech environments. - Have experience supporting functions that operate in highly regulated or compliance-focused environments - Care deeply when it comes to helping and supporting a diverse set of people at all levels of an organization, excelling in supporting employees and managers to do their best work - Have proven experience and skill sets in providing confidential, practical support and are trained in topics like conflict resolution - Have strong working knowledge of human-resource-related best practices and are able to effectively implement these in a culturally appropriate fashion - Be a pragmatic problem-solver and enjoy developing creative solutions - Thrive in building and scaling processes, and enjoy identifying and setting up new systems at a quickly growing company - Care about ensuring that advanced AI systems are developed safely, and have a deep curiosity about artificial intelligence and its potential 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: $310,000 - $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.
Senior/Staff Software Engineer, Experience
About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: - Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform for agentic workflows to build on. - Ship end-to-end experiences across API, SDK, CLI, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it. - Build systems that multiply team output. We care about what ships, not how many hours went into it. Design AI-powered workflows, automated quality gates, and high-leverage platform capabilities that let a small team move at a pace that would otherwise require 10x the headcount. - Set the standard for AI-assisted development on the team. Use the best tools available — Claude Code, Cursor, or whatever works — and help establish patterns that make the whole team faster. - Collaborate with product, design, and engineering to identify what users (and agents) actually need and build it at the right abstraction level, at the right time. - Build observable, auditable systems with monitoring, alerting, and verification mechanisms — because in a high-velocity environment, you need systems that tell you when something's wrong. Requirements: Senior and Staff Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, agent interfaces, observability, and developer experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box. You should have: - At least 4 years of software engineering experience - A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease - Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow - Proven ability to design and deliver versioned APIs, SDKs, or client libraries - Proficiency building web interfaces with React or similar - Experience with at least one major cloud provider (AWS, GCP, Azure) - Strong intuition for what makes APIs easy for both humans and agents to use correctly Bonus points for: - Experience building or consuming MCP servers, or designing APIs explicitly for agent use cases - Familiarity with agentic frameworks and the emerging patterns around tool use, orchestration, and agent-to-agent communication - Strong familiarity with a compiled language like Rust, Go, or Java - Experience with large-scale open-source projects - Experience developing database or query engine SDKs Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Technical Program Manager, Enterprise Readiness
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's enterprise business is growing fast, and enterprises are adopting Claude across product surfaces. Before they can deploy at scale, they need the same foundations everywhere: security and compliance controls, identity and access management, data governance, admin controls, and cost and spend management. This work is especially critical for customers in regulated industries (financial services, healthcare, public sector), whose security, privacy, and resilience requirements set the bar for everyone else. We're looking for a Technical Program Manager to partner with the teams that own these enterprise foundations, own the planning and execution rhythm that gets each capability onto every surface, and contribute to a coherent leadership view of coverage, gaps, and progress across products. This is a senior role: product, engineering, and GTM leaders will look to you for where we stand on enterprise readiness and for the plan to close the gaps. Responsibilities - Run the planning and operating cadence for the foundational-capability roadmap across surfaces: clear DRIs, sequenced dependencies, and a single source of truth on coverage and status for product, engineering, and GTM leadership - Drive the highest-priority foundational capability programs end to end, from scoping and tradeoff decisions through delivery on every surface - Shape the readiness bar for new products and features: what a surface must have in place before it reaches enterprise customers, and the call on in-flight features that are missing controls - Work across teams and directly with customers: partner with sales, customer success, solutions, and support on active deals and escalations, join customer security and compliance reviews, and bring what enterprises are blocked on back to product and engineering - Translate customer and regulatory requirements into technical programs: work with legal, compliance, and GTM to prioritize the highest-impact enterprise asks and map them to roadmaps with dates Sample projects include - Take a regulated customer's security control assessment from findings to closed gaps, with owners and dates across product, security, and infrastructure - Stand up a data residency program: gather requirements by market, what each surface must support, and sequencing with infrastructure - Build the operating model for co-building with a large enterprise design partner: staffing, cadence, and how their asks reach the roadmap - Extend healthcare compliance coverage to new product surfaces, with a migration path customers can actually take You may be a good fit if you - Have 8+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments - Have driven decisions among senior leaders with competing priorities, and are comfortable plainly articulating what is and is not ready for enterprise customers - Have driven adoption of platform or horizontal capabilities across product teams that don't share a reporting line, where success depended on other teams building on what you shipped - Understand what enterprises require before they adopt at scale, particularly for customers in regulated industries: security and compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP), identity and access (SSO, SCIM, RBAC), data governance (retention, residency, customer-managed keys), audit logging, and spend controls - Have worked directly with regulated customers on their security reviews, questionnaires, audit findings, and contract redlines, and understand how control design, evidence collection, and engineering delivery fit together - Thrive when the operating model itself is still being defined and see shaping it as part of the job Strong candidates may also have - Owned a HIPAA program end to end at a software company, including BAAs, PHI handling, and supporting product controls - Worked with financial services customers on data retention, data residency, and encryption requirements (including retention and deletion commitments, regional hosting, customer-managed keys, and contractual evidence and attestations) - Run a design partnership or co-build with a large enterprise customer - Experience using Claude or other LLM tooling to automate program tracking and reporting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Strategic Deals Lead, 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 As a Strategic Deals Lead, you will help shape Anthropic's long-term approach to AI infrastructure, compute capacity, and strategic ecosystem partnerships. As Anthropic scales its own internal infrastructure footprint, you will originate, structure, negotiate, and close the deals that put its strategy into effect. Operating at the intersection of infrastructure strategy, technology evaluation, commercial deal-making, and financing, you will identify and execute opportunities that expand Anthropic's access to the compute, infrastructure, and technologies required to train and serve frontier AI systems. Securing that infrastructure at scale requires sophisticated deal-making with some of the world's largest technology companies, and increasingly it requires connecting deal structure with financing. You’ll go deeper into the silicon supply chain, structuring co-development and early-access deals with semiconductor and emerging hardware companies, and connecting deal structure to financing. You will work closely with engineering, infrastructure, finance, legal, and executive leadership to evaluate emerging technologies, assess build-versus-buy decisions, structure and negotiate the multi-layered silicon transactions that secure access to compute at the chip level and cultivate strategic relationships across the AI ecosystem. We are looking for people who combine a deep understanding of AI infrastructure and emerging technology ecosystems with strong strategic judgment, financial acumen, and the negotiating skill to close complex agreements at the terms and timelines Anthropic requires. You will be an integral part of a team focused on ensuring Anthropic has the resources it needs to pursue its mission of developing safe, beneficial AI systems. Key Responsibilities - Develop and execute strategies that expand Anthropic's access to compute, infrastructure, and emerging AI technologies, and translate those strategies into a pipeline of executable deals. - Lead the full deal lifecycle for complex infrastructure transactions, from opportunity identification and term sheet development through negotiation, execution, and close. - Structure creative partnerships that help mitigate strategic supply chain challenges, support emerging technologies, develop ecosystem initiatives, and drive other value propositions for Anthropic. - Bring capital markets and financial thinking to infrastructure transactions, including supporting project finance, credit and residual value guarantees, vendor financing, equipment leasing, and other structures that connect financing to our compute buildout. - Develop and evaluate commercial frameworks and compare supply options and architectures across deal structures and deal terms, including partnering with finance teams on deal economics and analysis. - Provide a clear strategic view of a deal, including value proposition, efficiency metrics, trade-offs, and risk-adjusted outcomes - Partner with engineering, procurement / sourcing, infrastructure teams, and corporate development to understand future technology strategy and workloads and translate requirements into investment and commercial strategies. - Build and maintain senior-level relationships across the AI infrastructure ecosystem. - Drive internal alignment on transaction terms, risk parameters, and strategic priorities with Legal, Financing, and Engineering. - Manage the internal approval path for large commitments including deal strategy, deal economics, risk analysis, and capital at risk. - Track market, technology, and financing developments across AI infrastructure, including supply constraints and how competitors are securing capacity, and turn them into clear recommendations and deals for senior leadership. Minimum Qualifications - Experience in AI infrastructure including on-premise capacity building, cloud, semiconductors, data centers, backbone, networking, or adjacent technology ecosystems. - Background in areas such as strategic partnerships, hyperscaler deal structuring, network investments, investment banking, private equity, or infrastructure investments. - Deep understanding of the compute ecosystem, infrastructure economics, and trends that drive the AI Infrastructure space. - Demonstrated track record of structuring, negotiating, and closing complex, high-value technology transactions or strategic partnerships as a principal and lead negotiator. - Working understanding of capital markets, project financing, and structuring financial transactions alongside commercial terms. - Experience evaluating emerging technologies, developing long-term infrastructure or ecosystem strategies, and converting those strategies into signed agreements. - Ability to work effectively with technical teams and translate complex engineering concepts into deal structures and strategic business recommendations. - Experience building partnerships and influencing senior stakeholders across internal and external organizations, including executive leadership. - Strong analytical and strategic thinking skills, with the ability to operate autonomously in ambiguous and rapidly evolving environments. - Comfort operating in fast-moving, ambiguous environments where market structures are evolving Preferred Qualifications - 8-10+ years of experience in strategic deals, corporate development, investment banking, or business development at technology companies, hyperscalers, semiconductor companies, or financial institutions, with direct transactional ownership - Demonstrated experience managing multiple high-value transactions simultaneously - Familiarity with requirements and process for AI Infrastructure buildouts including AI accelerators, the overall silicon ecosystem, and supply chain. - Direct experience in multi-layered silicon transactions. - Familiarity with AI/ML infrastructure requirements, including training cluster design, network topology, and capacity planning - Experience with vendor financing, equipment leasing, structured or project finance, or capital markets transactions applied to infrastructure procurement - A passion for the future of AI infrastructure and for Anthropic's mission of ensuring safe AI developments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $325,000 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.
Safeguards Enforcement Analyst, Conventional Weapo...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy - Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements - Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations - Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics - Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios - Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content - Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals - Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity Minimum qualifications - Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions - Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation - Experience standing up and scaling policy enforcement or content review workflows - Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health - Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications - Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection - Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure - Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases - Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) - Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments - Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm - Proficiency in Python for data analysis and workflow automation - Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment - Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization - Familiarity with cross-platform threat analysis and OSINT techniques The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 - $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Engineering Manager, Scheduler and Fleet Efficienc...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's compute fleet is one of the largest and most varied in the world, and everything we do from training frontier models to serving Claude depends on getting the right work onto the right hardware at the right time. Our Scheduler team owns that problem. We build the scheduling layer for Anthropic's Kubernetes fleet, the tools researchers and engineers use to launch and manage their jobs, and the systems that make sure the fleet is used as efficiently as possible. When a researcher starts a run, the scheduler decides where it lands and how quickly; when demand outstrips supply, it decides who waits. This team provides the paved path that lets everyone at Anthropic get compute when they need it without becoming an expert in the infrastructure underneath. We're looking for an engineering manager to lead this team. The scheduler is on the critical path for nearly all of Anthropic's compute, and the mandate is expanding quickly: making scheduling work seamlessly across a growing, heterogeneous fleet; raising utilization while keeping jobs starting fast; making the system's decisions predictable and explainable to the people who depend on it; and making the job-launch experience something researchers rarely have to think about. You'll lead a team building infrastructure that the entire research and product organization depends on, and you'll partner closely with capacity planning, research, inference, and product teams to make efficient use of the fleet. Key responsibilities - Lead and grow a team of engineers building Anthropic's scheduling platform, job-launch tooling, and fleet-efficiency systems, owning planning, execution, and delivery against key milestones - Set technical direction for scheduling, placement, queueing, and quota across Anthropic's compute fleet - Partner with capacity planning, research, inference, and product teams to bring workloads onto the paved path and make efficient scheduling decisions - Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs - Define and track the metrics that measure fleet efficiency and scheduling quality (utilization, queue wait, job-start latency, etc.) and hold the team accountable to them - Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where demand for compute routinely exceeds supply - Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team - Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications - Experience managing and growing a team of software engineers - A hands-on software engineering background as an individual contributor prior to moving into management - Experience building or operating large-scale distributed or infrastructure systems in production - Working knowledge of Kubernetes and cluster scheduling concepts, such as resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers - Excellent written and verbal communication skills, including the ability to create clarity across teams Preferred qualifications - 5+ years of engineering management experience, including leading infrastructure, platform, or compute teams - Experience owning a cluster scheduler, job orchestration system, or resource manager at scale - Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization, fairness, and latency - Experience building developer tooling that other engineers rely on every day - A background in observability or incident response for control-plane systems, and a track record of improving production reliability - A track record of building a culture of belonging and of engineering excellence - Low ego, high empathy, and a habit of leading by example The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Director, US International Tax Planning
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Tax team sits within Finance & Accounting and is responsible for the company's tax position as we grow quickly in the US and internationally. New entities and jurisdictions, intercompany arrangements, financing, acquired businesses, and large commercial and compute agreements all carry US international tax consequences, and those consequences are getting larger and more complex as the company scales. We are looking for an International Tax Director to join our Tax planning, M&A, and Policy team. Your core subject matter is the US international provisions, including subpart F, NCTI, FDDEI, BEAT, and the foreign tax credit, along with the subchapter C rules that govern how we form, fund, and structure entities. This is a hands-on technical role. You will write the memos behind your recommendations, review the models that support them, and see your projects through to implementation, often in areas where the facts are new to the company or the law has recently changed and guidance is still developing. Our M&A tax colleagues lead diligence and deal structure on transactions, and once a deal closes you will help work out how the acquired business fits into our international structure. You will also work closely with the colleagues who own the tax provision, compliance, and transfer pricing, and with Legal, Treasury, and Accounting. If you enjoy carrying hard technical questions through to implementation as part of a small team, we would like to hear from you. Key responsibilities - Lead and support US international tax planning projects from initial analysis through implementation, and contribute to how the planning group identifies and prioritizes its work - Analyze the US international tax consequences of business initiatives, including new entities and jurisdictions, intercompany arrangements, funding and repatriation, and cross-border commercial and compute agreements, and recommend how to structure them - Perform and review technical analysis under subpart F, NCTI, BEAT, and the foreign tax credit rules, including expense allocation and apportionment and the interaction among these provisions - Apply subchapter C to entity formations, contributions, distributions, liquidations, and internal reorganizations, including earnings and profits and stock basis analysis - Define the assumptions and scenarios for models that quantify the cash tax and effective tax rate impact of planning alternatives, acquired structures, and legislative and regulatory changes; review those models for technical accuracy and provide input on them; and be accountable for the conclusions drawn from them - Support the M&A tax team after closing by developing the step plans that integrate acquired entities into Anthropic's structure, reviewing the modeling of the alternatives, and leading follow-on planning for the combined structure - Draft technical memoranda and maintain documentation that would support each planning position on examination, and work with the provision team on ASC 740 treatment, including uncertain tax positions - Partner with tax compliance and transfer pricing so that your projects are reflected accurately in intercompany pricing, the provision, and the US international filings (Forms 5471, 8858, 8991, 8992, 1118, and related), and review the international portions of the US return as a subject matter expertise - Scope, budget, and manage work performed by outside advisors on your projects, and review their deliverables - Track US legislative and regulatory developments and OECD developments in your areas, assess their impact on our position, and share the analysis with the planning group and Finance leadership - Work with the tax advisory team, Legal, Accounting, and Treasury to make sure approved planning and integration steps are implemented as designed, including intercompany agreements - Support responses to IRS and other tax authority inquiries relating to positions you have worked on Minimum qualifications - Have deep technical knowledge of the US international tax provisions, including subpart F, NCTI, BEAT, and the foreign tax credit rules, and have applied them in a planning context rather than in compliance alone - Have working knowledge of subchapter C as it applies to multinational groups, including earnings and profits, stock basis, distributions, and internal reorganizations - Have led tax planning projects end to end, including scoping, technical analysis, modeling, documentation, and implementation - Understand how planning positions flow into transfer pricing, the ASC 740 provision, and the US international compliance forms - Can research a technical question in the Code, regulations, and administrative guidance and write a clear, well supported memorandum - Can review a tax model built by someone else, identify where the technical assumptions or mechanics are wrong, and explain what needs to change - Have managed outside advisors, including scoping work, managing budgets, and reviewing their output - Can run several projects at once with different internal owners and keep each of them moving - Can reach a defensible recommendation when the facts are incomplete or the guidance is unsettled, and can explain the remaining uncertainty - Communicate technical tax conclusions clearly to people who are not tax specialists, and work well with colleagues in Legal, Accounting, and Treasury - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - CPA, JD, or LLM in taxation - 10-15 years of extensive US international tax experience, for example a combination of public accounting or law firm practice and an in-house role at a multinational technology company - Experience with post-acquisition integration planning, including step plans and modeling for bringing acquired entities into an existing international structure - Direct experience with transfer pricing, Pillar Two, or the FDDEI deduction and how they interact with the US international provisions - Familiarity with the tax rules of the non-US jurisdictions where a US technology company typically operates - Have working knowledge of partnership tax as it applies to multinational groups, including the formation and funding of joint ventures, allocations and distributions, and how partnership structures interact with the US international provisions - Experience planning around large cross-border commercial arrangements, such as cloud, compute, or licensing agreements, or standing up entities in new jurisdictions - Experience with infrastructure or capital-intensive investments, such as data centers, energy, or similar assets, including joint venture and financing structures - Experience supporting an IRS examination of international positions - Experience at a company that scaled significantly, or built out its international structure, during your tenure - Have built or reviewed US international tax models yourself, which tends to make review faster and more precise - Have used Claude or similar tools in tax research, modeling, or documentation, and have views on where they help and where they do not - Have mentored or developed other tax professionals The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Strategic Finance Lead - AI
ABOUT THE ROLE We are seeking a Strategic Finance Lead to help lead the economics of our AI products. In this role, you will be a key partner to our product, inference, and data teams, providing financial expertise to optimize model spend and drive pricing and margin decisions. In this role, you'll develop deep expertise in the unit economics of AI products, from per-request serving cost to consolidated product-level margin across our portfolio. You'll build the models that inform Perplexity's pricing, packaging, and model-deployment decisions, own the product-margin methodology that reconciles revenue and inference cost from production data, and translate complex model economics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and AI product strategy, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for inference and model spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain product-margin models across the product portfolio, reconciling revenue, serving cost, and gross margin from production usage data - Develop deep expertise in model provider contracts, pricing structures, and cost drivers, and surface optimization opportunities across the model portfolio and routing mix - Serve as subject matter expert for product unit economics, owning source of truth on cost per request, margin by product and tier, and customer-segment and feature-level economics - Own the consolidated model-cost forecast, translating product roadmaps and model transitions into forward-looking spend and margin trajectories - Analyze the margin impact of pricing, packaging, and model-deployment decisions, distilled into a framework for product and pricing strategy - Partner closely with product, inference, and data engineering to understand how usage and serving cost scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing product margin and unit economics in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected usage, revenue, and cost data - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Sound commercial judgment across pricing, packaging, discounting, and the tradeoffs between growth and margin - A proven track record of partnering with technical and product teams to drive financial optimization initiatives - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or consumption-based business models with complex cost structures PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, private equity, growth equity, consulting, or investment banking, preferably with software or AI product experience - Experience in AI or LLM product financial management, including direct work with model providers or inference platforms - Deep expertise in usage-based pricing, subscription economics, and gross-margin and COGS attribution by customer and model family - Experience with model serving economics, including how latency, throughput, and token usage flow through to margin performance - Proficiency with financial modeling tools
Strategic Account Executive, Retail & Commercial B...
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 Strategic Account Executive (Retail & Commercial Banking) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading retail and commercial banks. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across retail banking, commercial banking, and consumer finance organizations. You'll leverage deep banking sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into customer service, underwriting, risk, and back-office operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for retail and commercial banking decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across retail and commercial banks, and running the strategies to win them. By driving deployment of Anthropic's emerging products into banking enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities - Own a book of strategic, high-value accounts across retail banking, commercial banking, and consumer finance organizations, carrying and exceeding an individual revenue target - Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Risk, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion - Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue - Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate retail and commercial banking needs — customer service, underwriting, risk, operations — into product and roadmap input - Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion - Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications - 5+ years of enterprise sales experience in retail or commercial banking, with demonstrated success covering bank or consumer finance organizations - A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) - Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within retail and commercial banking - Operational rigor across 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, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams - 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 large retail or commercial banks - Deep familiarity with regulated-industry selling — data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of banking organizations - 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 - Experience navigating long, multi-stakeholder enterprise cycles typical of banking procurement 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.
Strategic Account Executive, Life Sciences
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 Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading life sciences organizations. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across pharmaceutical, biotechnology, and research organizations. You'll leverage deep life sciences sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into R&D, clinical development, and commercial workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for life sciences decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across pharmaceutical, biotech, and research organizations, and running the strategies to win them. By driving deployment of Anthropic's emerging products into life sciences enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities - Own a book of strategic, high-value accounts across pharmaceutical, biotechnology, and research organizations, carrying and exceeding an individual revenue target - Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of R&D, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion - Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue - Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate life sciences-specific needs — R&D, clinical development, commercial — into product and roadmap input - Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader life sciences motion - Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications - 5+ years of enterprise sales experience in life sciences, with demonstrated success covering bio, pharma, and research organizations - A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) - Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within life sciences (pharmaceutical, biotechnology, or research organizations) - Operational rigor across 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, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams - 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 large pharmaceutical or biotechnology companies - Deep familiarity with regulated-industry selling — GxP compliance, data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of pharma/biotech organizations - 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 - Experience navigating long, multi-stakeholder enterprise cycles (12+ months) typical of biopharma R&D and drug development procurement 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 - $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.
Strategic Account Executive, Investment Banking &...
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. Strategic Account Executive - Investment Banking & Capital Markets About the role As a Strategic Account Executive (Investment Banking & Capital Markets) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading investment banks and capital markets firms. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across investment banking, sales & trading, and capital markets organizations. You'll leverage deep IB&CM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, deal execution, trading, and risk workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for IB&CM decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across investment banks and capital markets firms, and running the strategies to win them. By driving deployment of Anthropic's emerging products into IB&CM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities - Own a book of strategic, high-value accounts across investment banking, sales & trading, and capital markets organizations, carrying and exceeding an individual revenue target - Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion - Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue - Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate IB&CM-specific needs — research, deal execution, trading, risk — into product and roadmap input - Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion - Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications - 5+ years of enterprise sales experience in investment banking or capital markets, with demonstrated success covering sell-side or markets organizations - A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) - Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within investment banking and capital markets - Operational rigor across 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, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams - 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 large investment banks or capital markets firms - Deep familiarity with regulated-industry selling — data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of sell-side organizations - 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 - Experience navigating long, multi-stakeholder enterprise cycles typical of IB&CM procurement 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.
Strategic Account Executive, Insurance
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 Strategic Account Executive (Insurance) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading insurance carriers and reinsurers. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across property & casualty, life & health, and reinsurance organizations. You'll leverage deep insurance sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into underwriting, claims, actuarial, and policy administration workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for insurance decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across insurance carriers and reinsurers, and running the strategies to win them. By driving deployment of Anthropic's emerging products into insurance enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities - Own a book of strategic, high-value accounts across property & casualty, life & health, and reinsurance organizations, carrying and exceeding an individual revenue target - Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Chief Actuaries, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion - Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue - Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate insurance-specific needs — underwriting, claims, actuarial, policy administration — into product and roadmap input - Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion - Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications - 5+ years of enterprise sales experience in insurance, with demonstrated success covering carrier or reinsurance organizations - A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) - Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within insurance - Operational rigor across 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, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams - 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 large insurance carriers or reinsurers - Deep familiarity with regulated-industry selling — data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of insurance organizations - 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 - Experience navigating long, multi-stakeholder enterprise cycles typical of insurance procurement 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.
Strategic Account Executive, Asset & Wealth Manage...
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 Strategic Account Executive (Asset & Wealth Management) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading asset managers, wealth management firms, and institutional investors. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across asset management, wealth management, and institutional investment organizations. You'll leverage deep A&WM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, portfolio management, client advisory, and operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for A&WM decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across asset managers, wealth managers, and institutional investors, and running the strategies to win them. By driving deployment of Anthropic's emerging products into A&WM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities - Own a book of strategic, high-value accounts across asset management, wealth management, and institutional investment organizations, carrying and exceeding an individual revenue target - Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion - Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue - Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate A&WM-specific needs — research, portfolio management, client advisory, operations — into product and roadmap input - Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion - Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications - 5+ years of enterprise sales experience in asset management, wealth management, or institutional investing, with demonstrated success covering buy-side or wealth advisory organizations - A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) - Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within asset and wealth management - Operational rigor across 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, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams - A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI - Driven, coachable, and on a steep growth trajectory Preferred qualifications - Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers or wealth management firms - Deep familiarity with regulated-industry selling — data governance, fiduciary/compliance-driven procurement, security review, and the governance expectations of buy-side and wealth organizations - 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 - Experience navigating long, multi-stakeholder enterprise cycles typical of institutional investment and wealth advisory procurement 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.
Sourcing Lead, Corporate Development
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Corporate Development Sourcing Lead to drive the front-end of our strategic transactions practice, focused on identifying, sourcing, and evaluating acquisition targets, strategic investments, and partnership opportunities. In this role, you will work closely with senior members of Anthropic’s Corporate Development and leadership teams to build a rigorous pipeline of opportunities aligned with our strategic priorities, and develop the analytical frameworks that inform our most important growth decisions. The ideal candidate brings strong analytical skills, intellectual curiosity, and a genuine passion for the AI landscape. You’re excited about Anthropic’s mission to develop AI that is safe and beneficial, and you want to help us identify the partnerships, acquisitions, and investments that will accelerate that mission. You thrive in ambiguous environments and can synthesize complex information to surface clear strategic insights across Anthropic’s diverse business areas. Join us in shaping the future of AI while ensuring it remains safe and beneficial for humanity. This role offers a unique vantage point at the intersection of cutting-edge AI research and strategic business development — with the opportunity to build deep pattern recognition across the ecosystem and meaningfully influence Anthropic’s growth trajectory. Key responsibilities - Build and maintain a structured pipeline of potential acquisition targets, strategic investments, and partnership opportunities across Anthropic’s business areas - Partner with product, engineering, research, and go-to-market teams across Anthropic to understand strategic priorities and translate them into sourcing criteria and target profiles - Conduct deep-dive strategic evaluations of target companies, including competitive positioning, technical differentiation, team assessment, and fit with Anthropic’s roadmap - Prepare concise investment memos and strategic briefings that synthesize market context, opportunity rationale, and preliminary valuation perspectives for senior review - Develop and cultivate relationships with founders, investors, and operators across the AI ecosystem to stay close to emerging opportunities - Monitor the competitive landscape and track emerging companies, technologies, and market trends relevant to Anthropic’s strategic priorities across research, products, and infrastructure - Support due diligence and transaction execution by coordinating with legal, finance, and internal subject matter experts - Develop financial models, benchmarking analyses, and valuation frameworks to support deal evaluation and investment decisions - Contribute to internal knowledge-sharing by documenting learnings, market maps, and deal frameworks that improve the broader team’s sourcing and evaluation capabilities - Assist in preparing materials and analyses to support decision-making by senior leadership on strategic transactions - Support the growth of Anthropic's partnership ecosystem, including relationships with cloud providers and enterprise customers Minimum qualifications - Possess strong technical understanding through either work experience (as a software engineer, product manager, or investor) or educational background (Computer Science degree or equivalent) - Demonstrate exceptional analytical and financial modeling skills - Have exposure to M&A processes, strategic transactions, or partnership development in technology sectors, even if in a supporting capacity - Excel at building relationships and can effectively engage with technical and business stakeholders - Are comfortable operating in fast-paced, ambiguous environments with competing priorities - Possess strong communication skills, both written and verbal, with the ability to distill complex information into clear, concise outputs for senior stakeholders - Have a deep interest in AI safety and alignment with Anthropic's mission Preferred qualifications - Have 6-8 years of experience in corporate development, investment banking, venture capital, growth equity, or strategy consulting, ideally with exposure to technology sectors - Have direct experience in AI/ML companies or deep learning research environments - Bring an established network within the AI startup ecosystem and venture capital community - Have experience in strategy consulting, growth equity, or early-stage venture with a focus on technology or AI companies - Possess an MBA or advanced technical degree - Have produced original market maps, competitive landscapes, or sector deep-dives that informed strategic decisions - Demonstrate strong quantitative skills and comfort building financial models or valuation analyses from scratch - Show genuine intellectual curiosity about AI capabilities, safety research, and the competitive dynamics shaping the industry The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Business Controls
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Head of Business Controls to join our Internal Audit team at Anthropic. In this role, you will lead the organization's financial audit and SOX 404 compliance program, with a primary focus on financial process controls, business process risk assessments, and end-to-end financial reporting integrity as we scale rapidly toward an IPO. This is a unique opportunity to build financial audit controls at an AI-first company, leveraging cutting-edge AI technology to create innovative, automated, and scalable compliance solutions. You will help define how AI can transform traditional financial audit processes — from continuous monitoring of financial transactions to intelligent anomaly detection — while maintaining the rigor required for public company compliance. As the Head of Business Controls, you will own audit planning, scoping, testing, remediation, and reporting, partnering directly with Finance, Accounting, Operations, and Business teams to design scalable controls, oversee documentation, and manage communication with external auditors. This role reports to the Head of Internal Audit and plays a critical part in strengthening internal control maturity through pre-IPO readiness and beyond. Key responsibilities - Lead and manage the organization's end-to-end financial audit and SOX compliance program - Own financial audit planning, scoping, testing, remediation, and reporting activities - Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness - Develop and maintain the financial audit compliance roadmap aligned with organizational growth - Pioneer the use of AI and automation technologies to enhance control effectiveness, continuous monitoring, and anomaly detection across financial processes - Drive financial controls rationalization initiatives to optimize the control environment and increase reliance on automated controls - Design, implement, and monitor controls across key financial processes including revenue recognition, financial close, accounts payable/receivable, and treasury operations - Evaluate and test business process controls and automated controls to ensure proper functionality and compliance with US GAAP and SEC reporting requirements - Conduct process and risk assessments to identify control gaps and remediation needs across financial workflows - Oversee control documentation and ensure audit-ready evidence is maintained for all financial processes - Assess and monitor controls over financial system implementations, ERP migrations (e.g., Workday Financials), and related integrations - Partner with Finance, Accounting, Operations, and Business teams to implement scalable financial controls - Work directly with the Controller, CFO, and Chief Accounting Officer to align audit priorities with business objectives - Collaborate with process owners to identify control improvements and automation opportunities across financial workflows - Support management's assessment of internal controls over financial reporting (ICFR) and related disclosures - Serve as the primary point of contact for external auditors on financial audit and SOX matters - Manage audit requests, coordinate testing schedules, and facilitate walkthroughs across all financial processes - Track and report on financial audit compliance status to leadership, the Board, and Audit Committee - Drive alignment with external auditors on testing approaches, reliance strategies, and deficiency evaluation Minimum qualifications - Have 10+ years of hands-on financial audit and SOX compliance experience, preferably in both Big 4 and in-house internal audit/SOX leadership roles at a fast-paced technology company - Have proven ability to establish or scale financial audit and SOX compliance programs at newly public or pre-IPO companies - Possess deep understanding of business process controls, financial reporting, and US GAAP requirements - Have strong project management, analytical, and communication skills - Hold a Bachelor's degree in Accounting, Finance, Business Administration, or a related field - Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI Preferred qualifications - Have 10+ years of hands-on financial audit and SOX compliance experience, preferably in both Big 4 and in-house internal audit/SOX leadership roles at a fast-paced technology company - CPA, CIA, CISA, or similar certification - Experience supporting rapid company growth and scaling financial compliance programs accordingly - Interest in or experience applying AI/ML technologies to financial audit, compliance, or risk management processes - Deep understanding of revenue recognition (ASC 606), lease accounting (ASC 842), or other complex accounting standards relevant to technology companies - Experience working at a high-growth AI or technology company - Familiarity with financial data governance, internal controls over financial reporting (ICFR), and SEC disclosure requirements 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.
Deal Lead, Corporate Development
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 Corporate Development professional to drive key strategic initiatives, including sourcing and executing acquisitions and strategic partnerships. In this role, you will partner directly with key members of Anthropic's leadership team to shape our growth strategy and help build the ecosystem around safe, beneficial AI, grounded in Anthropic’s strategic priorities. As a critical strategic partner, you'll identify opportunities for expansion, lead complex transactions, and ensure successful integration of new capabilities into our organization. The ideal candidate brings a unique combination of strategic thinking, technical understanding, and execution capability. You're passionate about AI safety and Anthropic's mission to create AI systems that are helpful, harmless, and honest. You thrive in ambiguous environments and can navigate complex negotiations while maintaining strong relationships across multiple stakeholders. Join us in shaping the future of AI while ensuring it remains safe and beneficial for humanity. This role offers the unique opportunity to work at the intersection of cutting-edge AI research and strategic business development, with direct impact on Anthropic's growth trajectory. Key responsibilities - Help shape the corporate development function, establishing best practices across the full spectrum of transactions from acquihires to transformational acquisitions - Partner closely with cross-functional product, engineering, and research teams to understand and assess the technical and strategic value of potential opportunities - Lead end-to-end transaction processes, from initial sourcing through due diligence, negotiation, and integration - Create streamlined processes for rapid evaluation and execution of technical talent acquisitions - Build and maintain relationships with entrepreneurs, venture capitalists, and strategic partners in the AI ecosystem - Conduct comprehensive market analysis to identify emerging trends, competitive dynamics, and growth opportunities in AI and related technologies - Structure and negotiate complex deals, working closely with legal, finance, and other cross-functional teams - Drive post-transaction integration efforts, ensuring successful realization of strategic objectives - Develop financial models and valuation analyses to support investment decisions - Present strategic recommendations to executive leadership and board members - Support the growth of Anthropic's partnership ecosystem, including relationships with cloud providers and enterprise customers Preferred qualifications - Possess strong technical understanding through either work experience (as a software engineer, product manager, or investor) or educational background (Computer Science degree or equivalent) - Demonstrate exceptional analytical and financial modeling skills - Have experience leading complex M&A transactions or strategic partnerships in technology sectors - Excel at building relationships and can effectively engage with technical and business stakeholders - Are comfortable operating in fast-paced, ambiguous environments with competing priorities - Possess outstanding communication skills, both written and verbal, with ability to influence at all levels - Have a deep interest in AI safety and alignment with Anthropic's mission Minimum qualifications - Have 12+ years of corporate development experience, with demonstrated success building or significantly scaling corp dev functions at high-growth technology companies - Have direct experience in AI/ML companies or deep learning research environments - Bring an established network within the AI startup ecosystem and venture capital community - Have led post-merger integration efforts or built new business units from the ground up - Possess an MBA or advanced technical degree - Have experience negotiating complex strategic partnerships with major technology companies - Demonstrate a track record of identifying and executing transformational opportunities - Show experience with international expansion or cross-border transactions 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 - $425,000 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 Architects
ABOUT THE TEAM The Applied AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. ABOUT THE ROLE As the Manager of Applied AI Architects in Munich, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for OpenAI's largest and most complex customers across the DACH region. Your team will act as the “CTO of the book of business,” partnering with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will help prioritize customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and growth. You will remain accountable for the team's technical outcomes while developing its people and bringing in the right specialists across deployment, implementation, enablement, security, product, research, and partners. You will serve as an executive technical sponsor for critical engagements, a senior voice of the customer inside OpenAI, and a cross-functional leader who can move confidently between regional strategy, executive decision-making, architectural depth, and hands-on coaching. This role is based in Munich. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Hire, coach, and develop a high-performing team of Applied AI Architects, creating an environment of technical excellence, sound judgment, continuous learning, accountability, and strong customer stewardship. - Define and continuously refine the strategy and operating model for Applied AI Architecture across Europe, aligning company priorities with the evolving needs of strategic customers and the regional go-to-market. - Partner with Sales leadership and Account Directors to prioritize accounts and opportunities, allocate technical resources effectively, and establish clear technical strategies for the region's most consequential engagements. - Ensure Applied AI Architects serve as the primary technical advisors for their portfolios, owning technical account plans, technical milestones, adoption priorities, account health, and expansion opportunities. - Lead complex, multi-threaded customer journeys that connect executive vision and business outcomes with use-case qualification, solution evaluation, enterprise governance, and a credible path to production. - Coach the team on Applied AI architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, reliability, and deployment. - Build trusted relationships with C-suite and board-level stakeholders, as well as senior AI, technology, data, security, and engineering leaders, serving as an executive technical sponsor when needed. - Mobilize Deployment Engineering, implementation, enablement, Product, Engineering, Research, Security, Legal, Privacy, partners, and other specialists to remove blockers and deliver a cohesive customer experience. - Establish a rigorous view of portfolio health, including technical wins, qualified use cases, production readiness, adoption, usage, risks, measurable customer impact, and the technical contribution to growth. - Translate patterns from the field into actionable feedback for Product, Engineering, Research, and go-to-market teams, while developing reusable architecture guidance and customer practices. - Foster a culture that balances ambitious customer outcomes with responsible AI deployment, clear ownership, thoughtful prioritization, and effective specialist handoffs. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Possess deep technical acumen in modern AI systems, frontier models, agentic applications, platform technologies, software and cloud architecture, APIs, data integration, identity, security, privacy, evaluation, and enterprise deployment. - Bring 10+ years of experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical consulting, including work with large and complex enterprises. - Have 4+ years of people-management experience hiring, coaching, and developing high-performing customer-facing technical teams. - Have guided enterprise organizations from technical discovery and evaluation through production adoption, healthy usage, and measurable business impact. - Demonstrate outstanding executive communication and presentation skills, with the ability to build credibility with CTOs, CIOs, CISOs, boards, business leaders, and hands-on engineers. - Can lead a complex portfolio, make thoughtful resource-allocation decisions, and balance regional strategy with hands-on support for critical customer engagements. - Exercise strong architectural judgment, including knowing when to go deep personally, when to coach the team, when to involve specialists, and how to define clear handoffs and ownership. - Build strong partnerships across Sales, Product, Engineering, Research, Deployment, Customer Engagement, Security, Legal, Privacy, and external partner ecosystems. - Are comfortable leading across DACH and partnering across European markets from Munich, adapting your approach to different industries, cultures, regulatory contexts, and customer operating models. - Embody a customer-centric philosophy focused on durable value, responsible production adoption, technical excellence, and long-term partnership. - Approach your work with humility, curiosity, a collaborative spirit, and a deep commitment to the safe and beneficial advancement of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Cyber Evaluations 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 We're hiring Cyber Evaluations Engineers to build and run the evaluations that measure cyber-relevant capabilities and safeguard robustness in our models. You'll design new evals, run per-release robustness testing, and dig into data on jailbreaks and prompt bypasses to understand where our safeguards hold up and where they don't. You'll also design many of the probes that detect cyber abuse in production and help shape the overall detection architecture alongside the policy team. Key responsibilities - Design and run capability, uplift, and safety evaluations to assess cyber-relevant risk in new models - Execute per-release safeguard-robustness testing ahead of major model launches - Analyze evaluation results and communicate findings clearly to the team and to stakeholders - Design, prototype, and tune detection probes for cyber misuse - Work with the cyber policy team to turn policy lines into a layered, robust abuse-detection architecture, and measure its precision and coverage over time - Build and maintain internal tooling used to run and score evaluations - Collaborate with policy and engineering partners to translate eval findings into safeguard improvements Minimum qualifications - Experience building or running evaluations, benchmarks, or test suites for software or ML systems, including delivering results on short, fixed timelines - Hands-on cybersecurity experience (e.g., CTF participation, vulnerability research, exploit development, or security research) - Proficiency in Python - Strong ability to communicate evaluation results with multiple cross-functional stakeholders or potential policy stakeholders Preferred qualifications - Deep offensive-security or security-research experience, including experience building AI security benchmarks - Experience analyzing adversarial or abuse data (e.g., jailbreaks, prompt bypasses, intrusion or fraud telemetry) - Experience working onsite with government partners on testing or evaluation engagements - Experience with AI/ML evaluation frameworks - Familiarity with coordinated vulnerability disclosure practices - Experience testing pre-release or pre-deployment software or models under confidentiality constraints - Experience authoring detection content (e.g., Sigma, YARA, Suricata, SIEM rules) or building ML-based abuse detection - Active secret security clearance or higher, or eligibility to obtain one The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Data Scientist - AI Safety
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a Data Scientist to take ownership of the datasets and evaluation workflows that underpin our AI Safety work. You'll turn real-world product data into reliable, well-structured datasets for training and evaluating models, and help build the processes and infrastructure to continuously assess how those models perform in production. This is a hands-on role at the intersection of data science, ML, AI safety, and policy. You'll work closely with safety researchers, engineers, and policy specialists to translate complex safety requirements into practical data and evaluation systems - starting hands-on with collection, analysis, and labelling, then building the methodologies, contributor networks, and quality standards that let this work scale. In this role, you will - Own safety datasets end-to-end: collection, cleaning, labelling, quality control, versioning, and readiness for training and evaluation. - Translate safety policy into clear, consistent labelling and evaluation criteria, working closely with policy specialists. - Design and manage labelling processes, including sourcing, onboarding, and overseeing external contributors to a high quality bar. - Build evaluation workflows for models in production, using real-world data to track performance and surface issues. - Develop lightweight Python/SQL pipelines and tooling to make data work faster and reproducible, partnering with ML engineers on what "training-ready" looks like. Who you are - Experience as a Data Scientist, or similar, working with real-world datasets and ML models. - Strong grasp of what makes a good dataset: collection, cleaning, sampling, labelling, quality control, evaluation. - Comfortable with Python and SQL for analysis and practical data workflows. - Strong critical thinking and judgement - comfortable with ambiguity and nuance, and able to turn complex guidelines into consistent, scalable decisions. - Autonomous and a clear communicator, able to work across disciplines (policy, engineering, research) in a fast-moving, still-forming environment. Bonus points - Experience in AI safety, trust & safety, content moderation, or fraud/abuse detection. - Experience building datasets or evaluation frameworks, or with adversarial/safety-focused ML. - Experience managing human-in-the-loop labelling processes, dataset versioning, or ML pipeline tooling. - Experience operationalising guidelines with policy or legal teams. Location This role is based in London, where you'll work closely with our AI Safety and Policy teams. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Engineering Manager, Inference 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 Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities - Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync - Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results - Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is - Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces - Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile - Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams - Develop and retain strong existing teams, and hire against a high technical bar - Coach engineers through a roadmap where priorities shift - Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each - Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate Minimum qualifications - Engineering management experience leading teams on critical-path production infrastructure at scale - A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level - Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side - Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline - A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions - Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours - Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems Preferred qualifications - 5+ years of engineering management experience - Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation - Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents) - Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it - Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing - Experience leading teams at supercomputing or hyperscaler infrastructure scale - Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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