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Field Engineer, Healthcare & SLED
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the Role We’re hiring Field Engineers focused on Healthcare and SLED (State, Local, and Education) to partner with prospective and strategic enterprise customers. As a Field Engineer, you’ll be the technical face of Anysphere in the field, helping customers evaluate Cursor, guiding them through proofs of concept, and ensuring they see the full value of AI in their engineering workflows. You’ll work hand-in-hand with Sales, Product, and Engineering to scope solutions, demonstrate capabilities, and act as a trusted advisor to technical stakeholders. This is a highly customer-facing role where you’ll combine deep technical fluency with strong communication skills to drive adoption and influence product direction. WHAT YOU’LL DO - Partner with AEs to own technical discovery, demos, POCs, and technical validation for new deals and expansion - Build trusted relationships across engineering, security, product and IT stakeholders - Go deep in mission-critical and high-security environments: developer workflows, AI tooling, complex / constrained setups - Help customers connect Cursor to outcomes that matter: developer productivity, secure software delivery, and mission velocity - Deliver technical presentations, whiteboards, and workshops for technical and executive audiences - Act as the customer's technical advocate internally with Product and Engineering - Partner with post-sales to hand off cleanly and set up onboarding for success YOU MAY BE A FIT IF - You have strong communication skills and executive presence, equally comfortable developing alongside engineers or presenting to CTOs, CISOs, and program leaders - You understand the SDLC and can connect technical detail to mission and operational impact - You have hands-on technical fluency (not full-time eng): workflows, AI tooling, complex / constrained environments - You have deal-partner strategic instincts: co-own with AEs and navigate complex, multi-threaded stakeholder maps - You have experience in Field Engineering, Solutions Architecture, Pre-Sales, or Consulting, ideally in federal, defense, or highly regulated tech - You're excited by Healthcare & SLED and comfortable learning buying motions, security expectations, and partner ecosystems fast
Engineering Team Lead, Backend
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 an Engineering Team Lead, you will build and develop the core platform that supports our AI products. This role combines technical execution with leadership, ensuring our systems work effectively for developers and users. Your work will directly improve the developer experience, making it more efficient and intuitive. The team builds reliable infrastructure that supports our products and enables seamless integration for both internal and external users. You will split your time between hands-on coding and strategic leadership, including project planning, stakeholder collaboration, and team growth. This balance allows you to drive technical solutions while guiding the team toward long-term success. What You Will Do - Remove obstacles and create an environment where your team can focus on building solutions. - Translate product vision into technical reality, collaborating closely with the Product team. - Ensure applications are performant, stable, and responsive. - Uphold high code quality standards through reviews, testing, and automation. - Own the full software development process, from design to deployment. - Plan projects, including roadmaps, deadlines, and task allocation. - Collaborate with stakeholders across Engineering, Product, and Design. - Support team growth through hiring, onboarding, and mentorship. What We're Looking For - Proficiency in Python and at least one web framework (FastAPI, Django, Flask). - Proficiency in C#, Golang, TypeScript and at least one web framework. - Experience with large-scale distributed systems. - Experience building and leading engineering teams. - Experience working with cross-functional teams, such as Product, Design, and Business. - Knowledge of databases, caching mechanisms, and messaging systems. - Strong problem-solving abilities and attention to detail. - Ownership mindset and ability to ship products end-to-end. - Excellent communication skills and a low-ego, team-first attitude. 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.
Field Engineer, Public Sector
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the Role We're hiring Field Engineers to partner with prospective and strategic customers across Public Sector. You'll be the technical face of Cursor for the federal civilian and defense agencies modernizing how software gets written for the mission: helping developers, engineering leaders, and program teams evaluate Cursor, running proofs of concept, and making sure they see the full value of agentic coding in their real workflows. You'll work hand-in-hand with Sales, Product, and Engineering as a deal partner, not a demo resource. You'll scope solutions, demonstrate capabilities, and act as a trusted advisor across the stakeholders that matter in PubSec: engineering leaders, architects, developers, security, procurement, and program leads. This is a highly customer-facing role where deep technical fluency, commercial instinct, and clear communication drive adoption and influence product direction. What you'll do - Partner with AEs to own technical discovery, demos, POCs, and technical validation for new deals and expansion - Build trusted relationships across engineering, security, product and IT stakeholders - Go deep in mission-critical and high-security environments: developer workflows, AI tooling, complex / constrained setups - Help customers connect Cursor to outcomes that matter: developer productivity, secure software delivery, and mission velocity - Deliver technical presentations, whiteboards, and workshops for technical and executive audiences - Act as the customer's technical advocate internally with Product and Engineering - Partner with post-sales to hand off cleanly and set up onboarding for success You may be a fit if - You have strong communication skills and executive presence, equally comfortable developing alongside engineers or presenting to CTOs, CISOs, and program leaders - You understand the SDLC and can connect technical detail to mission and operational impact - You have hands-on technical fluency (not full-time eng): workflows, AI tooling, complex / constrained environments - You have deal-partner strategic instincts: co-own with AEs and navigate complex, multi-threaded stakeholder maps - You have experience in Field Engineering, Solutions Architecture, Pre-Sales, or Consulting, ideally in federal, defense, or highly regulated tech - You're excited by Public Sector and comfortable learning agency buying motions, security expectations, and partner ecosystems fast - You hold or can obtain a federal security clearance (active clearance is a plus)
Customer Success, North America
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 Customer Success Manager (CSM) at Mistral, you will be responsible for managing a portfolio of enterprise customers, ensuring they achieve their goals using Mistral’s solutions. You will serve as the primary point of contact for customers, driving adoption, satisfaction, and long-term success. This role is ideal for those who excel in customer-facing environments, enjoy solving complex challenges, and are passionate about turning customer success into business impact. WHAT YOU WILL DO CUSTOMER SUCCESS OWNERSHIP - Manage a portfolio of enterprise customers, ensuring they maximize the value of Mistral’s AI solutions. - Build strong, trusted relationships with key stakeholders, understanding their business objectives and tailoring solutions to meet their needs. - Lead customer onboarding, adoption, and ongoing engagement to drive product usage and satisfaction. - Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn. - Collaborate with Sales to identify upsell and cross-sell opportunities based on customer needs and usage patterns. - Partner with Product and Engineering teams to gather customer feedback and influence the product roadmap. - Develop and deliver customer training, enablement programs, and best practices to drive adoption. - Conduct regular business reviews (QBRs) to align on goals, challenges, and success metrics. STRATEGIC CUSTOMER GUIDANCE - Serve as a trusted advisor to customers, guiding them on how to leverage Mistral’s AI solutions to achieve their business outcomes. - Work closely with Support and Product teams to ensure seamless customer experiences, from deployment to production. - Create and execute customer success plans with clear KPIs, timelines, and measurable outcomes. - Advocate for customer needs internally, ensuring their voice is heard in product and strategic discussions. CROSS-FUNCTIONAL COLLABORATION - Share customer insights with Product, Sales, and Engineering teams to inform product improvements and strategic initiatives. - Clear obstacles for customers during deployment and adoption phases, accelerating time-to-value. - Support renewal processes, including contract negotiations, expansion discussions, and coordination with internal teams. WHAT WE'RE LOOKING FOR - 5+ years of experience in customer-facing roles, such as Customer Success, Account Management, or Solutions Consulting, ideally in a technical or SaaS environment. - Proven ability to manage enterprise customer relationships, with a focus on driving adoption, satisfaction, and retention. - Experience working with technical products, with the ability to engage confidently with Data, IT, and Engineering teams. - Strong communication and presentation skills, including the ability to tailor messaging for technical and executive audiences. - Business acumen: Ability to identify upsell and expansion opportunities while ensuring customer success. - Technical aptitude: Familiarity with AI/ML concepts is a plus; ability to understand and discuss technical requirements is essential. - Hands-on, customer-centric, collaborative, and organized, with a passion for solving complex challenges. 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.
Lead - US Government Affairs & Public Policy
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! WHY THIS ROLE? Cohere is a fast-growing company in the extremely dynamic artificial intelligence space. We are building a Government Affairs and Public Policy (GAPP) team that has the drive and experience to engage in and shape a nascent and unique policy environment for enterprise AI. We seek a Government Affairs professional to lead our US government affairs strategy, with the flexibility to help shape our policy footprint across key emerging markets in the Americas as our commercial presence grows. Candidates will have a proven track record, are analytical, collaborative, driven, and possess a passion for digging deep into the new and evolving public policy debate at the intersection of enterprise technology and artificial intelligence. There is no better time to join us in building this function as we shape the future of AI in the United States and across the region. IN THIS ROLE YOU WILL: - Lead US Advocacy: Partner closely with Cohere’s senior leadership, legal, public policy, and responsible AI teams to develop, coordinate, and implement a government affairs strategy across both US federal and state levels. For the right leader, there is opportunity to expand this advocacy to support our strategic growth across Latin America. - Dig Deep on AI Policy: Serve as the internal and external expert on US AI policy while monitoring key regulatory shifts in neighboring markets. You will proactively report on trends and work with cross-functional teams to craft thoughtful responses to governmental initiatives, regulatory issues, and legislative drafts that impact Cohere’s business. - Cultivate Key Relationships: Guide and coordinate Cohere’s political engagement by cultivating deep relationships and representing the company with key lawmakers, regulators, federal agencies, state leaders, and regional trade bodies. - Bridge the Corporate and Political: Leverage your dual experience in both the political and corporate spheres to translate complex technical and business objectives into effective policy advocacy. - Support Strategic Growth: Work closely with public sector sales teams in shaping technology and procurement policies in regulated sectors, ensuring Cohere is a trusted resource and partner for government stakeholders. - Manage External Partners: Direct government relations consultants, lobbyists, and trade associations in the US, with the scope to manage regional external partners as geographic needs evolve. - Ensure Compliance: Oversee compliance of all lobbying and political activities with federal, state, and relevant international laws. YOU COULD BE A GREAT FIT IF YOU HAVE: - Deep AI Policy Expertise: Exceptional ability to dig deep on artificial intelligence policy, its applications, and its risks, with a proven track record of shaping relevant tech policies and regulations. - Political & Corporate Experience: 10 to 15+ years of proven leadership experience blending corporate government affairs roles within the technology sector and direct political or government experience. - Federal & State Mastery: Extensive experience navigating intricate and fluid political debates across both US federal and state jurisdictions, with an adaptability to new regulatory environments. - Bias for Action: A growth mindset and a self-starter attitude with the ability to work independently, prioritize issues, and push projects over the finish line. - Exceptional Communication: Excellent written and verbal communication skills, with a proven ability to distill complex AI policy into compelling documents, thought leadership, and briefings for a variety of audiences. - Educational Background: Bachelor's degree in Law, Public Policy, Political Science, or a related field. NICE TO HAVE (BUT NOT REQUIRED): - Defense & Military Background: Prior experience in or working closely with the defense sector, military, or national security apparatus is highly preferred given the strategic importance of AI to these fields. - Regional Acumen: Experience navigating tech policy, trade, or digital regulatory frameworks in Latin America, along with professional fluency in Spanish or Portuguese. - Procurement Experience: Proven experience supporting public-sector sales and government procurement teams. 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.
Research Engineer, Full Stack
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 Mistral is seeking Research Engineer - Full Stack to facilitate the adoption of its products among internal stakeholders and collaborate with them to address complex technical challenges. What You Will Do • Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients’ software products. • Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems. • Develop complex use cases with our internal stakeholders, providing guidance and ensuring the best production integration with back-end and front-end interfaces. • Collaborate with our product and science team to continuously improve our product and model capabilities based on internal feedback. What We're Looking For • You are fluent in English • You hold a degree in Computer Science, Software Engineering, or a related field. • You have 2+ years as a technical individual contributor on cutting-edge technologies • You have strong technical coding skills in Python and TypeScript • You have experience with front-end frameworks such as React, NextJS, or VueJS. • You have experience with back-end technologies such as NodeJS. • You have a solid understanding of software development principles, including design patterns, data structures, and algorithms. • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: • Experience with LLM/GenAI models • Contributed to open-source projects or libraries • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager 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 . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Partnership Development Manager GSI DACH
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. ROLE SUMMARY The Partnerships organization is accelerating its expansion globally. We now need the architecture to scale our delivery force through partnerships to meet the next wave of enterprise demand. This is a high-impact role offering exceptional exposure to the European market, focusing on DACH (UKI & Nordics) and the opportunity to shape our partnership program from the ground up. You will work closely with Partnership & GTM leadership, Partner Solution Architects, and cross-functional teams to drive breakthrough co-sell motions, co-solutions, and joint go-to-market initiatives with strategic and regional partners. This is a critical hybrid responsibility: Partner management across Europe for Strategic Partners while building regionally focussed partnerships to set up the foundations for future success. In this role, you’ll report directly to the Europe GSI Director and will have functional accountability to our VP DACH, playing a vital role in co-defining and executing our regional go-to-market strategy. WHAT YOU WILL DO STRATEGY & ARCHITECTURE - Architect and execute the GSI partner ecosystem model across DACH, establishing high-value frameworks that align enterprise strategic goals with scalable revenue models. - Define and institutionalize multi-year strategic roadmaps with major German Systems Integrators to accelerate co-selling motions, technical alignment, and joint pipeline expansion. - Drive ecosystem vision and governance, orchestrating financial growth targets, technical solutions integration, and transformative co-marketing programs. COMMERCIAL VELOCITY - Spearhead regional partner-led revenue generation, surpassing growth targets through systematic joint deal acceleration and high-impact GTM execution. - Establish executive alignment and field resolution standards across partner networks to maximize strategic velocity and eliminate friction in large enterprise deals. - Build comprehensive performance insights and analytical models to track partnership health, ROI, and long-term ecosystem value creation. - Scale SI delivery capabilities through specialized enablement programs, ensuring partners become force multipliers for Mistral AI enterprise deployment. ECOSYSTEM INTERLOCK - Embed robust co-sell engagement rules, attribution frameworks, and deal registration workflows across the DACH GTM organization to drive Tier 1 opportunity conversion. - Champion cross-functional collaboration across Solution Architects, Enablement, Marketing, and Product teams to champion seamless partnership delivery and pipeline maturity. - Lead Monthly Business Reviews and executive synchronization cadences with DACH regional leadership to sustain strategic alignment. - Provide strategic feedback loops to product and engineering leadership, aligning model evolution and deployment architectures with DACH enterprise needs. ABOUT YOU Education: Bachelor's degree in Business, Computer Science, Information Technology, or a related field. An MBA or advanced degree is preferred. Location: Munich preferred. We’ve offices in Munich. Expect travels within the DACH Region & to our HQ based in Paris. Experience - You are a builder, added with: - Technical Credibility: Ability to understand and discuss AI/ML concepts, API integrations, and model deployment architectures. Experience with LLM platforms is a strong plus. - Executive Stakeholder Management: Experience working closely with C-level or senior leadership at partner organizations. High maturity in communication, influence, and prioritization. - Market Expertise: Strong network and understanding of the DACH technology ecosystem and regional variations. - Scale and Ambiguity Mindset: Experience in fast-growing environments. Comfortable navigating ambiguity and evolving priorities. Ability to operate with high autonomy and judgment. - Industry Background: Experience in enterprise software, SaaS, AI, or infrastructure industries. Exposure to AI, data, or developer-focused products is a strong plus. - Languages: Business fluent English and German. 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.
Technical Support Engineer II - W&B
CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team. What You’ll Do: Support is a deep part of our culture here at Weights And Biases by CoreWeave. We believe that the best way to build a great product is to listen to real users and follow their lead to shape our priorities and roadmap. In this role, you will work on a diverse set of problems in a fast-moving environment, collaborate cross-functionally with our team to support our users, and help shape our product. Your main goal will be to quickly get answers to all user messages. Customers write in with highly technical questions, suggestions, or bug reports, and we need to give them timely responses to fulfill SLAs. Ideally, we're looking for someone with technical skills who would like to support our customer base. If you've found yourself wanting to be more external but still build programming/machine learning skills, this is the role for you. About the role: - Quickly respond to all inbound support requests, including email, live chat, and community forums - Triage bugs and requests based on customer type and severity of issue - Track inbound and outbound responses to ensure contact SLAs are being met - Maintain a fast response time for entire user base - Collaborate with the engineering and product team when troubleshooting issues and providing feedback on features - Recognize trends in user messages to help identify areas of improvement in internal or external documentation - Learn Weights & Biases’ product features and build up knowledge base to resolve issues on your own - Participate in a 24/7 on-call rotation to provide support during weekends Who You Are: - 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects - Python proficiency - Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools - A passion for connecting with real users and enabling them to be power users of the product - Good organization of assigned requests to oversee timely follow-up for every message - Work autonomously in a self-directed environment - Proactively find ways to improve processes and collaborate internally - Answer messages with a kind, thoughtful tone that makes users feel appreciated and connected to our team - Interest in machine learning Preferred: - Previous experience in machine learning - Customer service experience in a technical SaaS environment - Experience in frontend frameworks - Experience with Docker, AWS, GCP, Azure - Experience with Kubernetes or other cloud infrastructures Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why Us? We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $99,000 to $145,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
AI Developer Relations Engineer
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. What You Will Do: -Develop high-quality documentation, tutorials, and sample code that enable developers to effectively understand and utilize Mistral AI's products and integrations. -Contribute to the community by resolving issues, providing answers, and offering guidance to users, fostering a supportive and collaborative environment. -Lead developer relations initiatives and develop programs to engage the community. -Organize and participate in community events centered around Mistral AI solutions. -Work closely with the AI community to develop and maintain integrations, ensuring seamless compatibility and optimal performance. -Remain informed about industry trends, best practices, and emerging technologies in AI, continuously updating your knowledge and skills. What We're Looking For: -Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience. -Passion for AI, with a constant drive to stay updated and ahead of the curve. -Fluency in Python Familiarity with the AI ecosystem and popular technology stacks including AI orchestration tools, vector databases, and agent frameworks -Familiar with the Pytorch and transformers architectures -Proven experience working with AI or machine learning projects, demonstrating a solid understanding of the AI landscape. -Strong communication skills with an ability to explain complex technical concepts in simple terms -Demonstrated ability to manage projects and lead them to successful completion. -Ability to work collaboratively in a team environment. 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.
Research Engineer, ML Platform
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 This role focuses on building and operating the ML platform that powers large-scale training, evaluation, and batch inference at Mistral AI. You will develop the infrastructure that enables researchers and engineers to run distributed GPU workloads reliably across clusters, hardware types, and regions. You will work across the full ML lifecycle, from workload scheduling and capacity management to platform APIs, observability, and production operations. You will take ownership of critical systems and help turn complex infrastructure into reliable, self-service capabilities. WHAT YOU WILL DO - Build the ML Platform: Develop services, APIs, controllers, and tooling for training, evaluation, fine-tuning, and batch inference. - Orchestrate GPU Workloads: Build systems for queueing, admission control, quotas, priorities, preemption, and topology-aware placement. - Manage Compute Capacity: Improve how heterogeneous GPU resources are provisioned, allocated, and utilized across clusters. - Enable Multi-Cluster Execution: Place workloads based on capacity, data locality, hardware requirements, and organizational priorities. - Improve Researcher Experience: Create self-service workflows that make distributed workloads easy to launch, observe, debug, and reproduce. - Optimize Performance: Improve GPU utilization, scheduling latency, workload startup time, throughput, and infrastructure efficiency. - Build for Reliability: Develop observability, failure recovery, capacity planning, and operational tooling for critical ML workloads. - Operate What You Build: Participate in on-call rotations and troubleshoot issues across applications, schedulers, networking, storage, and GPU infrastructure. WHAT WE'RE LOOKING FOR - Have 4+ years of experience in ML infrastructure, distributed systems, Kubernetes platform engineering, or a related field. - Are proficient in Python or Go and comfortable working with production-grade distributed systems. - Have strong Kubernetes knowledge, including controllers, operators, CRDs, scheduling, networking, storage, and resource management. - Understand technologies such as Kueue, Karpenter, Volcano, and Kyverno, and the problems they address in workload scheduling, provisioning, and policy enforcement. - Understand distributed ML workloads, including training, fine-tuning, evaluation, checkpointing, and batch inference. - Are familiar with GPU infrastructure and technologies such as PyTorch, CUDA, NCCL, and high-performance networking. - Understand concepts such as quotas, priorities, preemption, gang scheduling, topology awareness, and workload admission. - Can diagnose performance and reliability problems across software, orchestration, networking, storage, and hardware. - Care about developer experience and enjoy turning complex infrastructure into simple, reliable interfaces. - Thrive in an ambiguous, fast-moving environment shaped by frontier AI research. 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.
Research Engineer, Forge
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. ROLE SUMMARY As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints. This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others. Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply. WHAT YOU WILL DO - Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”. - Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment. - Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility. - Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions. - Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale) - Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …) - Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements. ABOUT YOU - Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership). - Hands‑on experience with PyTorch, JAX, or similar. - Strong systems and infrastructure fundamentals. - Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines. - Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures). - Clear communication with technical and non‑technical stakeholders. - High agency, low ego, and comfort in fast‑moving, under‑specified environments. NICE TO HAVE - Distributed training experience (FSDP, DeepSpeed, Megatron, etc.). - Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.). - Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines. - Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation. - Open‑source contributions, publications, or widely used internal tooling. - Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets. - Ability to identify bottlenecks across the stack and drive improvements from first principles. 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.
Staff Software Engineer, Enterprise AI
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential by building secure, reliable, and scalable internal systems that keep the company running smoothly. As a Staff Full-Stack Software Engineer specializing in AI, you will personally design and build the AI agent capabilities and product experiences for an internal enterprise intelligence platform. This includes the retrieval, orchestration, and reasoning layer that sits on top of a semantic data layer built and maintained by a partner data engineering team. You’ll turn these capabilities into search, chat, and workflow experiences that help leaders find information and make decisions faster. This is a hands-on, coding-majority role. You’ll build the agents, prompts, tool integrations, and full-stack product surface yourself. You’ll work directly with product owners, system leads, and domain experts across HR, Finance, IT, Legal, and Workplace to understand real workflows. You’ll also work closely with a partner data engineering team that owns ingestion, the semantic layer, and the underlying data model. You will consume and help shape requirements for that layer rather than building it yourself. Your work will directly improve how Rioters hire, plan, spend, onboard, and operate at scale. The ideal candidate is a deeply experienced full-stack software engineer who has personally shipped AI-enabled products at scale, is comfortable building in ambiguous and evolving problem spaces, and takes ownership of systems from the first commit through production operation. The role will report to the Manager of Enterprise Systems Engineering. Responsibilities: - Build and maintain an orchestrator + specialist-agent architecture (retrieval, tool use, structured outputs, multi-step reasoning) on top of a semantic data layer owned by a partner data team. - Design and implement retrieval and grounding for RAG/semantic search use cases: embeddings, reranking, citation of evidence, and techniques to reduce hallucination. - Integrate agents with internal and external tools/APIs (function/tool calling) to let them take real actions, not just answer questions. - Build the full-stack application layer, APIs, and UI that exposes AI-powered search, chat, and workflow experiences to end users. - Instrument AI features with observability for quality, latency, token usage, and cost, and use it to drive iteration and tuning. - Iterate on prompts and model choices quickly, with sensible fallback behavior when a model, tool, or retrieval step fails or returns low-confidence output. - Apply solid engineering fundamentals: source control, code review, automated testing (unit, integration, functional), CI/CD, and on-call for the systems you own. Required Qualifications: - Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent professional experience delivering enterprise technology solutions). - 8+ years of professional experience in full-stack software development - Practical, end-to-end experience building RAG or agentic systems: retrieval, tool-calling, structured outputs, multi-step reasoning, and verification/evaluation loops, not just familiarity with LLM APIs. - Experience designing and running evaluation approaches for nondeterministic systems: curated datasets, automated metrics, human review, and production feedback. - Experience establishing basic AI observability (quality, safety, reliability, latency, token usage, cost) for features you build. - Working understanding of AI security and responsible-use risks, prompt injection, tool abuse, data leakage, access control, model limitations, sufficient to build safeguards into what you ship. - Deep hands-on programming experience in Node, TypeScript, React. - Experience with modern frameworks (e.g., NextJS, NestJS). - Experience building RESTful and GraphQL APIs, working with relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Redis) databases. - Comfortable with cloud infrastructure and deployment: AWS, containers (Docker), orchestration (Kubernetes), CI/CD pipelines. - Familiar with software engineering best practices: automated testing, code review, monitoring/observability, security and performance considerations. Desired Qualifications: - Deep practical knowledge of retrieval-augmented generation and semantic search, including embedding and reranking models, retrieval design, grounding, citations, and evaluation. - Experience with agent platforms (e.g., LangGraph, AutoGen, CrewAI, or comparable), vector databases, and multi-agent orchestration patterns. - Working familiarity with Python and lakehouse/data-catalog concepts (e.g., Databricks, Unity Catalog), enough to collaborate effectively with the data engineering team, without needing to own pipeline build-out. - Experience shipping an internal AI product from scratch as part of a small, fast-moving team, comfortable with a "scrappy MVP, iterate" delivery style rather than a fully-specified roadmap. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Senior Customer Engineer, Majors - Southwest
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: Las Vegas, Los Angeles, Phoenix, San Diego 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. 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. 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. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. For California (excluding Bay Area) based hires: Estimated annual salary of $234,000.00 - $292,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave 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.
Senior Customer Engineer, Majors - Bentoville, AR
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 Location: Bentiville, AR 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. 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. 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. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave 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.
Director, Growth Sales (AI & Digital Natives)
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: Seattle, WA OR Los Angeles, CA, OR Denver, CO About the Role: We are seeking an entrepreneurial Sales Director to lead our DN/AI Growth Segment, focusing on both the acquisition and expansion of our fastest-growing Startup accounts. In this role, you will scale a high-performing team tasked with bringing the world’s most innovative AI companies onto Cloudflare's platform. To thrive, you must bring a founder mentality and deep familiarity with the VC ecosystem to capture high-growth startups at inception. You possess a sharp understanding of the dynamics of the hyperscaler market and the AI landscape, allowing you to position Cloudflare as the definitive infrastructure layer for modern workloads. Finally, you are highly familiar with PLG sales motions, knowing exactly how to identify high-potential, self-serve developer accounts and seamlessly transition them into enterprise expansions. Responsibilities: - Own and exceed quarterly revenue targets, driving both high-velocity new logo acquisition and strategic account expansion within the AI and startup ecosystem. - Recruit, coach, and develop a world-class sales team, instilling a high-tempo, execution-oriented culture tailored to technical buyers. - Effectively articulate Cloudflare’s value proposition across our connectivity cloud, including Workers AI, R2 storage, network security, and developer platforms. - Partner closely with Product, Growth, and Marketing to seamlessly convert self-serve developer usage into structured enterprise agreements. - Act as a key executive sponsor for high-growth startups, founders, and VC partners, positioning Cloudflare as the foundational architecture for the next generation of tech. You might be a good fit if you have: - 10+ years of experience in enterprise software sales with at least 3+ leading sales teams - A proven track record of leading high-performing sales teams in the cloud infrastructure, SaaS, or developer platform space. - A strong understanding of modern application architecture, serverless computing, and how AI startups utilize compute and data storage. - Active connections within the tech startup and venture capital ecosystems, with an innate ability to spot and engage high-potential accounts early. - Hands-on experience navigating hybrid sales models that blend product-led growth with top-down enterprise execution. - A history of thriving in fast-paced, rapidly evolving markets where you can turn ambiguity into clear, actionable sales strategies Compensation - Compensation will be adjusted based on location and level. - For New York City, Washington, Washington D.C. and California (excluding Bay Area) based hires: Estimated annual salary of $361,000-$496,000 - For Colorado, Illinois, Maryland and Minnesota based hires: Estimated annual salary of $328,000 - $450,000. - This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave 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.
Staff Analyst, AI
Staff Analyst, AI at Hims & Hers. Femtech Insider network role. Industry tags: Community and Lifestyle, Consumer Goods, Cosmetics, Health Care, Healthcare, HealthTech, Lifestyle, Medical Diagnostics, Mental Health, Mobile App, Telehealth, Wellness. Skills: Analytics, Data Science, A/B Testing, Causal Inference, Statistical Inference, Machine Learning, Data Engineering, BigQuery, Airflow, Databricks. Locations: United States, Remote. Work mode: remote.
Technical Program Manager, Infrastructure Systems...
About the Team OpenAI's Industrial Compute organization is building and operating the infrastructure foundation for the next generation of AI. Infrastructure Operations works across facilities, hardware, network operations, incident management, data center engineering, delivery teams, and external partners to bring capacity online safely, understand its operational state, and improve it over time. As OpenAI's data center portfolio grows across first-party and partner-delivered capacity, the organization needs clear goals, trusted data, repeatable processes, and systems that make ownership, risk, readiness, and performance visible. This role will help build the operating mechanisms that allow Infrastructure Operations to scale with rigor. About the Role We are seeking a Technical Program Manager to own the systems, data, reporting, governance, and program-management backbone for Infrastructure Operations. Reporting to the Delivery & Operations Lead, you will translate strategy into executable goals and operating cadences, turn operational needs into software and data solutions, and create the mechanisms that keep a rapidly evolving organization aligned and accountable. This role will also own the current 1P+3P delivery-tracking layer within Operations: milestones, delivery timelines, quantity forecasts, risks, decisions, and executive reporting. You will partner closely with 1P Delivery Program Management, Compute TPMs, Data Center Engineering, construction, commissioning, and operations leaders to ensure that delivery information becomes complete, usable input for readiness, handover, and ongoing operations. You will own program health and the operating system around it: the goals, data definitions, workflows, reporting, decision paths, and follow-through that help functional DRIs execute. The ideal candidate is comfortable in ambiguity, technically fluent enough to implement real systems, and relentless about converting scattered information into durable mechanisms. Key Responsibilities Establish and run Infrastructure Operations' goal-setting and operating cadence, including quarterly goals, weekly performance reviews, prioritization, action tracking, decision logs, escalation paths, and closure criteria. - Translate leadership priorities into clear programs with owners, milestones, dependencies, success metrics, and resourcing assumptions; maintain source-of-truth hygiene across goals, status, dates, risks, and decisions. - Build and operate dashboards, scorecards, and executive-ready reporting for operational health, capacity readiness, SLA and MTTR performance, delivery pipeline status, and material risks. - Define authoritative data models and reporting standards for milestones, timelines, delivery risk, capacity state, readiness, handover, exceptions, and operational performance; drive consistent adoption across the portfolio. - Own the 1P+3P delivery-tracking program across sites and partners, integrating schedule and progress inputs, maintaining quantity and timeline forecasts, surfacing risks early, and driving cross-functional follow-through. - Define Operations' requirements for capacity acceptance and operational handover, including readiness evidence, risk and exception workflows, approvals, sign-offs, and post-handover action tracking. - Own the Information Governance Process and controlled-document lifecycle across relevant Operations workflows, including standards, procedures, work instructions, templates, ownership, approvals, versioning, exceptions, and obsolescence. - Lead operations software and tooling implementations from discovery through rollout: map workflows, write requirements, design data and integration patterns, partner with engineering and vendors, test solutions, and drive adoption. - Improve the connections among reporting, ticketing, knowledge, delivery-tracking, sourcing, and operational systems so teams can work from consistent data instead of manual, fragmented updates. - Program-manage cross-functional initiatives across Infrastructure Operations and its interfaces with Data Center Engineering, Compute TPMs, 1P Delivery, construction, commissioning, sourcing, and external infrastructure partners. - Coordinate internal and external resources supporting systems, dashboards, process design, and document governance; make dependencies and ownership explicit while keeping functional DRIs accountable for their domains. - Capture lessons learned, identify recurring operational bottlenecks, and implement automation and process improvements that make the organization more predictable, scalable, and effective. Qualifications - Have 8+ years of experience in technical program management, operations program management, infrastructure delivery, operations transformation, or a comparable role in a complex technical environment. - Have led end-to-end software or systems implementations for an operations organization, including workflow discovery, requirements, data models, integrations, testing, rollout, adoption, and continuous improvement. - Are fluent with dashboards, KPIs, operational data, and executive reporting; you can turn incomplete inputs into clear definitions, trusted metrics, and decisions. - Have built governance mechanisms that work in practice: goal-setting, operating reviews, intake and prioritization, risk and issue management, action tracking, decision logs, and escalation. - Bring experience with data centers, construction, commissioning, infrastructure operations, cloud, manufacturing, or another mission-critical physical-infrastructure environment. - Can influence across senior leaders, technical DRIs, vendors, and partner organizations without relying on direct authority, and communicate clearly from working-team detail to executive summary. - Are comfortable navigating ambiguity, changing ownership boundaries, urgent timelines, and high operational stakes while maintaining rigor and momentum. - Hold a bachelor's degree in Engineering, Computer Science, Information Systems, Construction Management, Operations Management, Business, or an equivalent combination of education and practical experience. Preferred Skills - Experience with hyperscale or AI infrastructure, including 1P, 3P, colocation, or CSP delivery models. - Familiarity with project controls, scheduling, operational readiness, commissioning, capacity acceptance, SLA/MTTR reporting, incident or ticketing workflows, and handover governance. - Technical fluency with APIs, integration patterns, BI/reporting tools, workflow platforms, data quality controls, and automation; SQL or equivalent analytical skills are a plus. - Experience managing vendors, consultants, or embedded support resources and converting ad hoc support into repeatable operating capability. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Hardware Systems Planning Lead (1P)
About the Team OpenAI’s 1P Hardware Systems team operates at the intersection of Hardware Engineering, Infrastructure, Supply Chain, Manufacturing, Deployment, and Finance to translate infrastructure demand into an executable systems plan. The Planning Lead connects system demand and deployment timing to site and configuration requirements, power availability, XPU needs, hardware supply commitments, manufacturing capacity, and site readiness. About the Role OpenAI is seeking a 1P Hardware Systems Planning Lead to own the integrated demand, supply, and deployment plan for our 1P AI infrastructure systems. This role will connect infrastructure demand and site power availability to system configurations, XPU requirements, and hardware supply commitments—creating a single, actionable view of whether our deployment plan can be met. You will establish the planning mechanisms that allow teams to see what changed, understand the impact, and act quickly when demand, supply, configuration, site readiness, or power timing moves. You will work across Hardware Engineering, Infrastructure, Supply Chain, Strategic Sourcing, Manufacturing, Deployment, and Finance to identify gaps early and drive recovery plans to closure. This is a highly cross-functional role for someone who combines systems-level thinking, strong analytical judgment, and rigorous program execution. The ideal candidate can turn complex and changing inputs into a clear operating plan, surface the decisions that matter, and drive accountability across teams without relying on formal authority. Success also requires strong communication judgment: the ability to align cross-functional teams, brief leadership at a concise and decision-oriented level, and go deep into the underlying assumptions, dependencies, risks, and recovery plans when needed. Responsibilities - Integrated Planning - Own the integrated planning process for 1P hardware systems, connecting system demand, deployment timing, site and configuration requirements, power availability, XPU needs, and supply commitments. - Maintain a clear, decision-ready supply plan that shows changes from the prior plan; weekly pull-ins and push-outs; site, deployment, and system-configuration impacts; power availability assumptions and timing; system demand and corresponding XPU requirements; current supplier and manufacturing commitments; gaps between forecast, requirements, and committed supply; and recovery actions with accountable owners and target closure dates. - Validate that the end-to-end supply plan is executable, including the timing and dependencies across components, XPU availability, system integration, factory capacity, site readiness, and deployment. - Operating Cadence & Change Management - Lead a weekly deployment and supply review focused on material changes, emerging risks, required decisions, and recovery-plan execution. - Publish and maintain a weekly delta report that clearly explains what changed, why it changed, and the downstream impact to deployments, sites, configurations, power, and supply. - Track forecast-versus-commit gaps at a weekly level, identify the underlying constraints, and drive recovery plans with named owners and dates. - Coordinate the biweekly end-to-end supply picture update for leadership and key stakeholders, including the latest system forecast; how the forecast aligns with site power availability and timing; current supply commitments; weekly gaps to commit; and the plan and timing to close each gap. - Cross-Functional Execution & Risk Management - Partner with Hardware Engineering and Infrastructure teams to translate roadmap, configuration, and deployment changes into updated system and XPU requirements. - Work through the Supply Chain team to pressure-test commitments with manufacturing partners and suppliers, understand constraints, and establish credible recovery paths. - Anticipate supply and deployment risks, develop scenarios and tradeoffs, and provide crisp recommendations to senior leaders. - Process & Operational Scaling - Build scalable planning models, reporting standards, and operating mechanisms that improve forecast accuracy, change control, traceability, and executive decision-making as 1P infrastructure scales. Qualifications Minimum Qualifications - Significant experience in hardware systems planning, supply planning, program management, operations, or a related role supporting complex, high-volume technology products or infrastructure. - Strong understanding of the dependencies among hardware demand, component supply, manufacturing capacity, system configurations, site readiness, power availability, and deployment schedules. - Experience building and managing integrated demand-and-supply plans at weekly granularity, including forecast changes, supply commits, gaps, scenarios, and recovery actions. - Demonstrated ability to pressure-test whether a plan is executable rather than simply consolidating inputs from different teams. - Exceptional analytical skills and the ability to translate complex datasets and technical dependencies into clear insights, decisions, and actions. - Strong program leadership, including experience establishing operating cadences, driving cross-functional accountability, and closing issues across organizations. - Demonstrated experience communicating effectively across cross-functional teams and with senior leadership, with the judgment to tailor the level of detail to the audience—distilling complex issues into concise, decision-ready updates while going deep on assumptions, dependencies, risks, and recovery plans when needed. - Comfortable operating in a fast-moving, high-ambiguity environment where requirements, priorities, and constraints evolve quickly. - High ownership, sound judgment, and a bias toward surfacing risks early and driving them through resolution. Preferred Qualifications - Experience with AI infrastructure, hyperscale data centers, or accelerator systems. - Experience with semiconductors, server or rack manufacturing, or complex hardware supply chains. What Success Looks Like - A single, trusted view of 1P hardware system demand, supply commitments, deployment timing, and associated gaps. - Clear weekly visibility into changes, pull-ins, push-outs, and their impact on sites, configurations, power, systems, and XPUs. - Early identification of risks to the deployment plan, with quantified impact and actionable recovery paths. - Work through SCPM and strategic sourcing to ensure every material gap has a clear recovery plan, accountable owner, target date, and escalation path. - Forecast, supply, manufacturing, site-readiness, and power assumptions remain aligned across teams. - Leadership receives a concise, consistent, and decision-oriented biweekly view of the end-to-end supply picture. - Planning processes and tools scale with the pace, volume, and complexity of OpenAI’s 1P infrastructure roadmap. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Energy Regulatory Lead
About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Power Execution team owns the strategy and execution required to secure reliable, scalable, and economically resilient power for OpenAI’s global data center portfolio. The team sits at the intersection of commercial, technical, policy, legal, and operational work, partnering across OpenAI and with utilities, grid operators, regulators, counterparties, and public-sector stakeholders. About the Role The Energy Regulatory Lead will own energy regulatory strategy and execution for OpenAI’s infrastructure growth. This role will be the primary bridge between the Power Execution team and Public Policy and Government Affairs on energy regulatory matters, ensuring that OpenAI’s external engagement is grounded in project realities and that changing policy and regulatory conditions are translated into actionable infrastructure decisions. This is an individual contributor lead role and does not have direct reports initially. The role combines portfolio-level regulatory positioning with transactional regulatory work: evaluating jurisdictional pathways, supporting utility and energy transactions, coordinating approvals and filings, and helping project teams navigate tariffs, interconnection, load-service requirements, market rules, and regulatory risk from diligence through execution. Key Responsibilities - Develop and maintain OpenAI’s energy regulatory strategy across priority U.S. markets and, as needed, emerging geographies for infrastructure expansion. - Coordinate closely with Public Policy and Government Affairs to shape energy regulatory priorities, engagement plans, messaging, and positions before utilities, public utility commissions, grid operators, state energy offices, and other relevant policymakers. - Translate project requirements—load size, timing, reliability, cost, carbon, and expansion needs—into clear regulatory objectives and external engagement strategies. - Lead regulatory diligence for powered-land, data center, utility, supply, and energy-infrastructure opportunities; identify applicable tariffs, service rules, approval pathways, filing requirements, queue and interconnection constraints, and material regulatory risks. - Support transactional work with Legal, Commercial, Procurement, Finance, and project teams, including regulatory review of utility service agreements, special contracts, tariff arrangements, interconnection agreements, PPAs, supply structures, and related energy transactions. - Coordinate regulatory submissions, testimony, comments, data requests, stakeholder meetings, and approval processes with internal teams, outside counsel, consultants, utilities, and other counterparties. - Monitor utility rate cases, integrated resource plans, transmission and interconnection proceedings, RTO/ISO market developments, capacity and reliability rules, and state and federal policy changes that could affect cost, schedule, reliability, or growth. - Build decision frameworks and executive-ready analyses that compare regulatory pathways, clarify tradeoffs, surface escalation points, and support go / no-go and investment decisions. - Develop durable relationships with utilities, regulators, grid operators, policymakers, industry groups, and external advisors while coordinating carefully with OpenAI’s public-policy and government-affairs owners. - Create repeatable playbooks, trackers, and governance for regulatory diligence, transaction support, approvals, and cross-functional escalation across the infrastructure portfolio. Qualifications - 10+ years in energy regulation, utility strategy, power markets, energy transactions, infrastructure development, or a related role. - Deep understanding of U.S. electric utility regulation, tariffs, public utility commission processes, RTO/ISO structures, transmission and interconnection, and large-load service requirements. - Experience supporting or leading regulatory work for large energy consumers, utilities, developers, data centers, generation, transmission, or other power-intensive infrastructure. - Demonstrated ability to connect policy and regulatory strategy with transaction execution, project schedules, commercial terms, and operational requirements. - Experience working with utility service agreements, special contracts, interconnection agreements, PPAs, regulatory filings, or comparable energy-infrastructure transactions. - Strong cross-functional judgment and the ability to partner effectively with Public Policy, Government Affairs, Legal, Commercial, Finance, Sustainability, Engineering, and site-readiness teams. - Excellent written communication and executive-summary skills; able to make complex regulatory issues clear, practical, and decision-ready. - Comfort operating in a fast-moving, ambiguous environment and managing multiple high-stakes workstreams at once. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Client Partner, Ads Solutions - Travel
About the Team OpenAI’s Sales team partners with advertisers to understand their businesses, develop meaningful advertising solutions, and drive long-term growth on the platform while maintaining strong standards for user trust and platform integrity. About the Role This role will focus on growing advertising revenue across the Travel vertical, including airlines, hotels, online travel agencies, tourism boards, travel marketplaces, cruise lines, and adjacent travel brands. You will own the full sales cycle—from prospecting through deal closure—and build strategic relationships with senior travel-industry decision-makers. You’ll help advertisers reach high-intent audiences, improve campaign performance, and develop long-term commercial partnerships that support their business goals. You will work closely with Account Managers and cross-functional partners to ensure successful advertiser outcomes after the sale, while maintaining primary ownership of revenue growth, commercial strategy, and Travel vertical expertise. In this role, you will: - Prospect, qualify, and close new advertising opportunities across the Travel vertical. - Own and achieve a defined revenue target across an assigned portfolio of travel advertisers. - Build relationships with senior advertising, marketing, ecommerce, loyalty, and revenue-management leaders. - Develop account plans that connect advertiser goals—such as bookings, destination awareness, loyalty acquisition, app adoption, and seasonal demand—to measurable campaign outcomes. - Identify opportunities across major travel moments, including peak booking periods, holidays, events, route launches, destination campaigns, and loyalty promotions. - Structure and negotiate complex commercial agreements. - Build clear, data-driven business cases that demonstrate advertiser ROI and long-term platform value. - Partner with Account Managers to support seamless post-sale transitions, campaign success, renewals, and expansion. - Collaborate with Product, Engineering, Marketing, Policy, and Operations to support complex deals and inform future advertising solutions. - Maintain strong pipeline management, accurate forecasting, and a deep understanding of Travel industry trends. You might thrive in this role if you: - Have 10+ years of experience in digital advertising, performance marketing, client strategy, consulting, or enterprise sales. - Have experience working with Travel advertisers, such as airlines, hotels, cruise line, online travel agencies, travel marketplaces, or tourism boards. - Have 3+ years of experience advising and influencing senior executives and client stakeholders. - Have a proven track record of owning revenue targets and closing complex advertising or commercial deals. - Understand travel customer journeys, booking behavior, seasonality, loyalty programs, and performance metrics. - Can create compelling business cases and translate advertiser objectives into measurable partnership strategies. - Have strong verbal and written communication skills. - Can operate effectively in ambiguous, fast-changing environments. - Are excited to help shape a new advertising platform while maintaining high standards for user experience, trust, and responsible growth. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, HSM Infrastructure Security, Co...
We are hiring a Security Software Engineer to design and implement the hardware-backed security foundations used across OpenAI’s device ecosystem. A central focus of this role is hardening the boundary between our policy systems and the HSMs that protect sensitive cryptographic keys. This boundary determines which operations may be performed, what may be signed, which policies must be satisfied, and how changes to trusted software and policy are authorized. You will develop security-critical software and firmware within, or immediately adjacent to, an HSM trust boundary. Depending on your background, this may include HSM trusted applications, firmware services, cryptographic mechanisms, device drivers, PKCS#11 components, secure-provisioning protocols, or signing-policy enforcement systems. This is a hands-on software-engineering role. You will be expected to design systems, write and review production code, debug across hardware and software boundaries, and carry projects from initial requirements through deployment. It is not an HSM administration, PKI operations, compliance, or architecture-only position. In This Role, You Will - Design and implement security-critical software and firmware for HSMs, secure elements, trusted execution environments, and hardware roots of trust. - Build and harden the policy-to-HSM boundary responsible for authorizing certificate issuance and cryptographic signing operations. - Develop HSM trusted applications, firmware components, host interfaces, device drivers, SDKs, or cryptographic service integrations. - Implement or extend cryptographic interfaces such as PKCS#11, OpenSSL providers or engines, platform key-storage APIs, or comparable hardware-security interfaces. - Build firmware and software that cryptographically enforces key generation, provisioning, usage, rotation, recovery, and destruction policies. - Design and implement HSM-backed certificate authority, code-signing, key-management, and device-identity systems. - Develop end-to-end cryptographic protocols spanning devices, secure hardware, policy services, and backend infrastructure. - Build security capabilities supporting device attestation, secure boot, factory provisioning and restoration, user registration, and authentication. - Design controls that make trusted software and policy changes verifiable, auditable, and subject to appropriate multi-party authorization. - Write, review, test, and audit secure embedded software for resource-constrained environments. - Develop test harnesses, emulators, fuzzers, and fault-injection tooling to validate security properties and failure behavior. - Threat-model hardware and software trust boundaries and translate findings into concrete engineering improvements. - Partner with hardware, firmware, infrastructure, application, and security teams to integrate secure-by-default capabilities into production systems. - Help establish engineering standards for HSM development, applied cryptography, secure key management, and certificate infrastructure. Minimum Qualifications - 5+ years experience building secure embedded firmware for constrained environments - Deep programming experience in C, C++, or Rust. You Might Thrive in This Role If You Have - A strong track record of designing, implementing, debugging, and shipping production systems software. - Hands-on experience developing security-critical software or firmware within, or directly adjacent to, an HSM, secure element, TEE, or hardware root of trust. - Experience developing one or more of the following: - HSM firmware or trusted applications - Cryptographic mechanisms or hardware-accelerated cryptographic services - HSM device drivers, host libraries, SDKs, or middleware - PKCS#11 providers, mechanisms, or integrations - Secure key-provisioning or key-injection protocols - HSM-backed certificate authority or code-signing systems - Signing-policy enforcement within a hardware-backed trust boundary - Strong knowledge of applied cryptography, digital signatures, key hierarchies, secure key management, and cryptographic protocol design. - Experience with PKI, X.509 certificates, certificate authorities, certificate issuance, and certificate lifecycle protocols. - Familiarity with secure boot, measured boot, device identity, remote attestation, or hardware-backed storage. - Experience reasoning about concurrency, memory safety, privilege separation, hardware interfaces, failure modes, and side-channel or physical attack considerations. - The ability to evaluate security designs and personally implement the software required to realize them. - Clear communication skills and the ability to collaborate across hardware, firmware, backend, and product teams. Additional Experience That May Be Helpful - Firmware development for ARM TrustZone or another trusted execution environment. - Experience with commercial or cloud HSM platforms such as Thales Luna, Entrust/nShield, Utimaco, Marvell LiquidSecurity, AWS CloudHSM, or comparable systems. - Experience with PKCS#11, KMIP, OpenSSL providers or engines, secure-element APIs, or platform-native key-storage frameworks. - Device manufacturing, secure provisioning, factory restore, or silicon bring-up experience. - Secure boot ROM, bootloader, firmware-signing, anti-rollback, or authenticated-update development. - Developing trusted applications or cryptographic services inside an HSM or secure coprocessor. - Hardware/software co-design involving cryptographic accelerators, secure processors, or custom silicon. - Multi-party authorization, quorum-controlled deployments, tamper-resistant audit mechanisms, or attestable policy systems. - Secure or private storage systems based on hardware-protected keys. - Experience sustaining high-assurance security software in production. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Senior Support Engineer - Singapore
About the Team The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the Role We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform. The nature of this role will be low volume, high difficulty. This role is based in Singapore. 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: - Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team. - Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era. - Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time. - In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes. - Design and refine incident response processes and documentation across strategic customers, engineering and support teams. - Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows. - Provide support coverage during holidays and weekends based on business needs. You might thrive in this role if you: - Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success. - Have 8+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level. - Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation). - Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and drive follow‑ups (post‑mortems, action items) to prevent recurrence. Knowledge of industry best practices for incident management and fault diagnosis. - Have strong skills in scripting or software engineering (e.g., Python or similar) to automate repetitive tasks and integrate tools. - Have solid understanding of cloud infrastructure and distributed systems fundamentals. Comfortable working with cloud services, load balancers, databases, and containerized applications. - Are effective at working cross‑functionally in a high‑trust environment. Strong communication skills to explain technical issues and resolutions to both engineering and non‑technical stakeholders. You can coordinate efforts across teams and are comfortable providing updates in the midst of an ongoing incident. LI-NM2 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Warehouse and Logistics Capability Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization builds and operates the compute that trains and serves our frontier models. Behind every cluster is a physical supply chain: servers, accelerators, networking equipment, spares, and tooling that have to be received, inspected, secured, tracked, and delivered to the right site at the right time. The Warehousing and Logistics team owns that flow, and this role builds the key capabilities and partnerships to scale these services with velocity. As Warehouse and Logistics Capability Manager, you'll report to our Global Warehousing and Logistics Lead and own the design, and roll-out of key capabilities (selection of in-house or off-the-shelf tooling, process, and data integrity), implementation and integration with strategic partnerships to achieve global scale. This is a strategic role on a small team, so you'll move between building the tooling, processes, controls, and metrics that let us scale as our hardware footprint grows. You should be comfortable making decisions with incomplete information, communicating clearly with engineers and vendors alike, and holding a high bar for supply chain and logistics capabilities. Key responsibilities - Define the key requirements for new capabilities in collaboration with partner teams - Own the program management, selection and implementation of tools pertaining to warehouse, inventory, transport management etc., and their integration with internal and external tools - Enable expansion to new geographies with the right tools, processes, SOPs and data in conjunction with the operational warehouse managers - Conduct RFP where needed and drive tool selection and/or build in line with business requirements - Ensure third party vendor tools are fully integrated with Anthropic’s architecture and meet compliance, and regulatory requirements - Conduct full testing and effective adoption of new processes and tools, effectively managing risks and timely implementation - Develop/enhance reports on operational metrics such as receiving cycle time, inventory accuracy, on-time delivery, and freight cost, and use them to drive continuous improvement Minimum qualifications - Experience managing warehouse or logistics operations for physical goods, including receiving, inventory control, and outbound shipping - Hands-on experience using and designing warehouse management and inventory management system, and comfort working in spreadsheets to analyze inventory and shipment data - Experience managing third-party logistics providers or carriers, including negotiating service levels and holding vendors accountable to them - Working knowledge of domestic freight (LTL, FTL, and parcel) and the documentation that goes with it - Familiarity with safety and regulatory requirements for shipping and storing IT or electronic equipment, such as hazardous materials rules for lithium batteries - Strong written and verbal communication skills, with the ability to coordinate across technical and non-technical teams and external partners - Demonstrated ability to build processes from scratch and keep operations running reliably as volume and complexity increase - Ability to travel to warehouse and data center sites in the US as needed Preferred qualifications - Experience handling data center or enterprise IT hardware, including servers, GPUs or other accelerators, and networking equipment - Experience with international freight forwarding, customs brokerage, and export control requirements such as EAR - Experience with secure chain-of-custody programs, asset tagging, and data-bearing device sanitization or destruction - Experience directly managing warehouse staff or contract labor - Familiarity with ERP or procurement systems and how inventory data flows between them and warehouse systems - Experience with Agile development and frontier AI tools - Experience supporting rapid infrastructure buildouts, whether in cloud, telecom, or another hardware-intensive 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: $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.
Sanctions Compliance Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Integrity & Compliance (I&C) function is building the systems that let us scale responsibly as our products reach more people, more enterprises, and more regulated industries. Our global compliance program is bespoke, reflecting our unique mission and position as one of the leading AI labs operating on the frontier. Our Regulatory Programs pillar is a key pillar of our overall Integrity & Compliance function and covers a range of compliance domain areas including economic sanctions, US export controls, and regulatory compliance programs stemming from global content and AI regulation. As Sanctions Compliance Lead, you will take day-to-day leadership of Anthropic's sanctions compliance program and support oversight of our export controls program, supporting the Regulatory Programs lead as a senior leader within the function. This is a leadership seat in a domain where the rules governing AI models and compute are still being written, and where sanctions exposure runs through globally accessible APIs, downstream and embedded-partner channels, and rapid geographic expansion. You will own the sanctions program end to end: setting strategy and risk appetite with leadership, continuously assessing risk and driving remediation and program enhancements, governing our screening and enforcement controls, directing regulator-facing matters, and reporting on program health to I&C leadership and the Audit Committee. You will partner closely with our in-house Trade Compliance Counsel on interpretation of applicable law, represent the function with senior stakeholders, and lead and develop trade compliance professionals as the team grows. This is a builder's role at a company that takes integrity seriously and moves fast. You will exercise independent judgment on issues without clear precedent and build durable programs that let Anthropic move quickly while honoring its obligations to regulators, customers, and the public. Key responsibilities - Lead Anthropic's sanctions compliance program, including strategy, risk appetite, policy frameworks, and the program roadmap, and keep them current as regulations and the business evolve - Represent the sanctions and export controls function with senior leadership and cross-functional partners, and step in for the Regulatory Programs lead across the function as needed - Continuously assess sanctions risk across products, channels, and markets, and own the remediation of identified issues and the delivery of program enhancements, in partnership with Legal, Internal Audit, Finance, and first-line teams - Direct regulator-facing matters, including voluntary self-disclosures, blocking and reject reports, licensing questions, and responses to regulator or third-party inquiries, in partnership with Trade Compliance Counsel and National Security Legal - Govern Anthropic's restricted-party screening and enforcement controls, including list configuration, thresholds, escalation criteria, vendor management, and exception review, in partnership with Regulatory Operations and Safeguards - Serve as the senior escalation point for complex sanctions matters surfaced by Safeguards, Threat Intelligence, Go-to-Market, and Finance, and set the standards by which first-line teams disposition and escalate cases - Advise business and product teams on sanctions and trade controls implications of commercial and geographic expansion, new products and channels, partnerships, and acquisitions, and translate findings into clear control requirements - Support oversight of the export controls program, partnering with the Sanctions & Export Controls Compliance Officer and Trade Compliance Counsel on program priorities, controls, and reporting - Prepare and deliver program reporting on health, key risks, and emerging issues for I&C and Legal leadership, the Audit Committee, and other governance forums - Monitor sanctions regulatory developments and enforcement actions, assess impact on Anthropic, and drive required program changes - Lead, mentor, and develop compliance team members, and help shape the structure of the function as it grows - Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Anthropic's discretion, or otherwise applicable with local law Minimum qualifications - Substantive, hands-on experience leading an economic sanctions compliance program (OFAC, EU, UK, and other applicable regimes) in a commercial environment, including program design, policy ownership, and risk governance - Experience managing voluntary self-disclosures, blocking or reject reports, and other regulator filings end to end, including coordinating counsel, internal stakeholders, and remediation - Experience assessing sanctions risk on an ongoing basis and owning the remediation of identified issues and delivery of program enhancements through to closure - Experience governing a restricted-party screening program, including list scope, match thresholds, escalation criteria, and screening vendor management - A track record of reporting on program health and risk to senior leadership, an audit committee, or a board, and of driving decisions on risk appetite with executives - Working knowledge of US export controls (EAR and BIS rules) sufficient to oversee an export controls program and partner effectively with technical subject-matter experts - Experience partnering with in-house and outside counsel to interpret trade controls requirements and translating them into practical guidance for product, engineering, operations, and commercial teams - Excellent written and verbal communication skills, including drafting policy and preparing materials for senior leadership Preferred qualifications - 10+ years of relevant experience in economic sanctions compliance, including several years leading a program or team - Experience managing and developing compliance professionals - Experience conducting sanctions diligence for acquisitions, vendors, and third parties, including state-ownership and 50 percent rule analysis - Experience partnering with trust and safety, enforcement, or threat intelligence teams on account actions and sanctions escalations - Exposure to sanctions compliance in software, cloud, fintech, or AI contexts, including globally accessible platforms and downstream access risk - Prior experience in a Big 4 or other compliance consulting or advisory professional services firm, or at OFAC or another trade regulator - Experience in a hyper-scaling tech company or other fast-paced environment - Sound judgment and the ability to make risk-based decisions and move work forward with imperfect information - A leadership style characterized by integrity, humility, strategic thinking, and solution-orientation Role-specific policy: For this role, we expect staff to be able to work from either our Washington, DC, San Francisco, or New York City office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
G&A Recruiter
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for an experienced G&A Recruiter to help build the business functions that keep our company running smoothly. You'll partner directly with hiring managers across our General & Administrative teams, owning searches that range from high-volume pipelines to highly strategic, hard-to-fill roles — and you'll be expected to context-switch between them without dropping quality. This is a role for someone who thrives on ownership across a diverse portfolio. You'll manage a high req load across multiple hiring managers, use data and systems to prioritize and surface issues early, and build repeatable processes that scale. We're also looking for someone who actively leverages AI and automation to increase throughput while protecting a great candidate experience. Beyond execution, you'll bring genuine recruiting expertise to your stakeholders: calibrating profiles, sharing market insight, improving processes, and pushing back constructively when patterns aren't working. As Anthropic grows quickly, this role will be key to scaling the teams that support our mission. Key responsibilities - Own full-cycle recruiting across G&A functions, adapting candidate profiles, comp benchmarks, and assessment criteria to each segment and level - Context-switch between high-volume hiring and strategic, senior searches while maintaining consistent quality and candidate experience - Manage a high req load across multiple hiring managers without becoming a bottleneck — using data and systems to prioritize, surface issues early, and keep pipelines healthy - Build repeatable, scalable processes, and leverage AI and automation to increase throughput across your portfolio - Integrate into existing hiring rhythms while bringing recruiting expertise — calibration, market insight, and process improvement — and pushing back constructively when patterns aren't working - Own outcomes across a diverse portfolio, holding yourself accountable for hiring results rather than activity - Protect Anthropic's culture by deeply understanding our mission and screening for alignment alongside capability Minimum qualifications - Have demonstrated success recruiting across G&A role types and segments (e.g., Finance, Legal, People, Operations) and understand how profiles, comp, and assessment criteria differ across levels - Can show examples of moving fluidly between high-volume pipelines and strategic searches without sacrificing quality or candidate experience - Have managed heavy req loads across multiple hiring managers, and use data to prioritize, spot bottlenecks, and surface issues before they become problems - Build repeatable processes and are actively experimenting with AI and automation tools to increase your throughput - Have strong stakeholder management skills — you integrate into existing hiring rhythms, add value beyond execution, and push back constructively when something isn't working - Bring an ownership mentality across a diverse portfolio, with a continuous improvement mindset - Are deeply curious about Anthropic's mission and passionate about AI's potential to positively impact the world The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $175,000 - $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Manager, Infrastructure Lease Accounting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Manager, Infrastructure Lease Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's infrastructure lease portfolio — the leased assets underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing lease portfolio is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's infrastructure lease portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842, and help build the processes, controls, and systems that let this function scale. Responsibilities - Lead end-to-end accounting for one of Anthropic's AI infrastructure lease portfolio, including monthly close, reconciliations, roll-forwards, and flux analysis - Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) - Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made - Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on - Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems - Design and scale systems, processes, and controls to support a rapidly growing lease portfolio - Collaborate with and mentor accounting professionals across the Infrastructure Accounting team - Serve as a key point of contact with external auditors on lease accounting matters - Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum qualifications - Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred - Possess strong technical accounting knowledge of ASC 842, particularly as applied to infrastructure, data center, or compute-related arrangements - Have experience managing a significant lease portfolio in a high-growth environment - Demonstrate strong analytical abilities and comfort working with large, complex datasets - Have a track record of improving scalable financial processes in fast-moving environments - Have experience mentoring and developing accounting professionals - Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders - Communicate clearly and influence effectively across cross-functional partners - Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications - Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies - Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure lease structures (including colocation, dark fiber IRUs, and compute / equipment leases) - Experience with lease accounting software at scale - SQL proficiency for querying and analyzing large infrastructure and accounting datasets - Background in Big 4 accounting or advisory services combined with industry experience - Experience with complex data center buildouts or hybrid cloud / on-premise environments - Knowledge of AI/ML infrastructure and associated cost structures - Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation - Proven ability to navigate ambiguity and drive results in rapidly changing environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Manager, Infrastructure Asset Accounting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Manager, Infrastructure Asset Accounting to join our Infrastructure Accounting team. In this role, you will own the accounting for Anthropic's infrastructure assets across their full lifecycle — from chips, memory, and networking components moving through the supply chain, to the racks, clusters, and data center buildouts underpinning our $50B+ investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business. You'll work closely with partners across Data Center Operations, Supply Chain, Finance, and Legal, apply deep technical accounting expertise under ASC 360 along with cost accounting judgment on components that behave like inventory, and help build the processes, controls, and systems that let this function scale. Responsibilities - Own end-to-end accounting for Anthropic's infrastructure assets through their lifecycle — component cost accumulation, prepayments and deposits, construction-in-progress (CIP), transfer to fixed assets at deployment, and disposal - Build and maintain detailed transaction flows that map how assets and costs move from purchase order through shipment, receipt, warehousing, integration, deployment, and in-service, and keep them current as sourcing models change - Evaluate the accounting implications of new and non-standard supplier and procurement arrangements and document conclusions in clear technical memos. - Apply technical accounting expertise under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations), together with cost accounting concepts such as bill-of-materials (BOM) cost accumulation, landed cost, and obsolescence and existence reserves - Partner with Supply Chain, Data Center Operations, Legal, and Finance during contract negotiation and execution so that accounting implications are understood before commitments are made - Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on - Collaborate cross-functionally to improve upstream data pipelines and component tracking, including serial-number-level tracking and existence controls for high-value components, and accurate receipt, deployment, and in-service dates - Help design and scale systems, processes, and controls to support a rapidly growing component and fixed asset portfolio - Collaborate with and mentor accounting professionals across the Infrastructure Accounting team - Serve as a key point of contact with external auditors on supply chain, capex, and fixed asset accounting matters - Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum qualifications - Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred - Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets - Have applied experience with cost accounting in a supply chain context — BOM-based costing, landed cost, standard vs. actual, and obsolescence or NRV analysis - Have built or maintained end-to-end transaction flows, process maps, or subledger designs that trace assets and costs across systems and lifecycle stages - Have evaluated the accounting for non-standard supplier or procurement arrangements and can reach and document a supportable conclusion - Have hands-on experience with a significant fixed asset or component portfolio in a high-growth environment - Demonstrate strong analytical abilities and comfort working with large, complex datasets - Have a track record of improving scalable financial processes in fast-moving environments - Have experience mentoring accounting professionals - Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders - Communicate clearly and influence effectively across cross-functional partners - Have experience partnering with supply chain, engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications - 10+ years of progressive experience in accounting, with operational experience at technology, hardware, manufacturing, or infrastructure-heavy companies - Experience at hyperscalers, semiconductor companies, hardware OEMs / ODMs, contract manufacturers, or data center operators, with exposure to complex BOM-based assemblies and infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts) - Familiarity with adjacent guidance that often arises in supply chain arrangements, such as ASC 330 (inventory), ASC 842 (embedded leases), and ASC 460 (guarantees) - Experience with fixed asset subledger and component / inventory management systems at scale (e.g., NetSuite, Oracle, SAP) - SQL proficiency for querying and analyzing large infrastructure and accounting datasets - Background in Big 4 accounting or advisory services combined with industry experience - Experience with complex data center buildouts or hybrid cloud / on-premise environments - Knowledge of AI/ML infrastructure and associated cost structures - Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation - Proven ability to navigate ambiguity and drive results in rapidly changing environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Research & Education Sales Lead, Beneficial Deploy...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Beneficial Deployments team accelerates the work of organizations doing some of the world's most important under resourced work: nonprofits, education institutions, scientific researchers, and organizations advancing economic mobility. Education institutions sit at the center of that mission. They train the next generation, they produce the science the rest of the world builds on, and they are structurally short on time, budget, and technical capacity to figure out new technology on their own. You will lead our targeted approach to higher education, with a specific focus on research institutes and research intensive universities. You will also support K12 staff and educators across the globe, in particular in low and middle income countries, where teachers and school staff are the users and the district is often the buyer. Where our scaled motion reaches thousands of organizations one to many, this role is the opposite end of the same ecosystem: a deliberately short list of institutions where depth matters, where a lab, a department, or a whole campus adopting Claude changes what science gets done, and where the buying process runs through provosts, research offices, district superintendents, procurement, grant budgets, and security review. Reach comes first, and commercial results follow from it. That ordering is deliberate and it is shared across every leader on this team: a research institute that adopts Claude to move its science faster is a win on its own terms, and you will be measured on creating that value with the institutions that matter most, not only on pipeline. You are the single accountable owner for the research and education Enterprise book globally: its target list, its AEs, its numbers, and its field voice inside Anthropic. You are half seller, half domain translator. You will personally run the most complex institutional deals, and you will be credible in a room of scientists and educators. You know how research is funded, how a university decides, and what it takes for an education sales motion to land in a software company. You will bring that knowledge to the product, applied AI, and marketing teams who build for this audience. This is a player coach seat. You will be directly involved in deals and directing the account executives who cover education today, and the role is expected to grow thoughtfully with more AEs in key regions globally. Key responsibilities - Co-design research and education strategy: the target list of research institutes and research intensive universities, support for K12 staff and educators - Serve as the lead on our most complex institutional deals — setting the pursuit strategy, opening doors with lab and research-office leadership, and personally resolving the toughest hurdles: procurement, security review, and grant-funded budgets. - Direct and coach the account executives working education accounts today: joint account plans, deal reviews, and a repeatable motion for landing a university and expanding within it. - Build the institutional playbook: how a research institute goes from a pilot in one lab to a working deployment across a department, what good adoption looks like, and when to bring in applied AI, customer success, or partners. - Own the book's numbers, institutions reached, activated, and expanded against goals, and use them to decide where the effort goes next. - Be the research and education field voice inside Anthropic: bring deployment learnings, unmet needs, and the realities of academic buying to the product teams that own the roadmap for this audience. - Work in lockstep with our PLG 1:many motion, so that an institution moves cleanly between scaled programs and direct coverage in both directions. Minimum qualifications - Education or research sales. You have sold software as a service into universities, research institutes, or academic medical centers, and you have personally closed complex institutional agreements involving procurement, security review, and multiple decision makers. - Science background. You have trained or worked in a scientific field, or spent a meaningful part of your career selling to or building for scientists, and you can hold a credible conversation with a principal investigator about their research. - Sales leadership. You have led a sales business end to end and been the accountable owner for its results, whether as a team lead, a player coach, or the sole owner of a strategic book. Preferred qualifications - Experience with research funding: grants, indirect costs, and how a fixed annual budget shapes what an institution can buy. - Track record landing an institution wide agreement at a research intensive university, and expanding from a single department to a campus or system. - Familiarity with how AI is already used in research settings and K12 classrooms, and a point of view on where it should go next. - Experience working with academic consortia, national labs, or research networks. - An impact, education, research, or mission driven go to market background, and genuine interest in these institutions' constraints. - A daily working habit with Claude, and agentic workflows you have built for yourself. 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.
Corporate Development Lead, 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 Anthropic is seeking an experienced Corporate Development leader to drive our strategic transactions in life sciences and biotech. Frontier AI is beginning to change how drugs are discovered, developed, and brought to patients, and Anthropic wants to help build that future responsibly. In this role, you will source and execute acquisitions, investments, and strategic partnerships with AI-native life sciences companies, partnering directly with Anthropic's leadership, research, and product teams to shape our strategy in the sector, grounded in Anthropic's strategic priorities. The ideal candidate combines deep life sciences domain knowledge with technical fluency in AI and a record of closing complex transactions. You understand how R&D, clinical, and regulatory workflows actually run, you can tell a durable AI-native business from a thin wrapper, and you can assess a target's science, data, and compliance posture as rigorously as its financials. You care about AI safety and Anthropic's mission to build AI systems that are helpful, harmless, and honest, and you recognize the stakes of applying AI where patient safety and scientific integrity are on the line. Join us in shaping how AI accelerates science and medicine while keeping it safe and beneficial for humanity. This role sits at the intersection of frontier AI research and life sciences, with direct impact on Anthropic's growth in one of its most consequential sectors. Key responsibilities - Define and execute Anthropic's corporate development strategy in life sciences, covering acquihires, tuck-in acquisitions, minority investments, and strategic partnerships - Build and maintain a target pipeline across AI-native companies in drug discovery, clinical development, regulatory and medical writing, lab automation, and healthcare data infrastructure - Lead end-to-end transaction processes, from sourcing through diligence, negotiation, signing, and integration - Partner with research, product, engineering, and go-to-market teams to assess the technical, scientific, and commercial value of opportunities - Run sector-specific diligence, including scientific and data validation, regulatory posture (FDA, EMA, GxP, 21 CFR Part 11), data privacy (HIPAA, GDPR), quality systems, and IP - Assess build/partner/buy tradeoffs and competitive dynamics against incumbents, AI-native entrants, and other frontier AI labs - Structure and negotiate complex deals, including earnouts, milestone-based consideration, and licensing arrangements, working closely with legal, finance, and policy teams - Build financial models and valuation analyses suited to life sciences businesses, including services-heavy and usage-based revenue models - Drive post-transaction integration, with particular attention to retaining scientific and technical talent and maintaining regulated customer commitments - Build relationships with founders, life sciences and healthcare VCs, pharma and biotech corporate development teams, and academic research institutions - Present strategic recommendations to executive leadership and the board - Support Anthropic's partnerships with pharmaceutical companies, CROs, and research organizations Minimum qualifications - Have led complex M&A, investment, or partnership transactions from sourcing through close - Understand the drug development lifecycle, from discovery through clinical trials, regulatory submission, and commercialization - Have strong technical fluency in AI and software, gained as an engineer, product manager, scientist, or technology investor - Bring strong analytical and financial modeling skills - Can engage credibly with scientists, engineers, executives, and regulators - Are comfortable in fast-paced, ambiguous environments with competing priorities - Write and speak clearly, and can influence at all levels - Have a deep interest in AI safety and Anthropic's mission Preferred qualifications - Have 8-12 years of experience across corporate development, investment banking, or investing, with at least 5 years focused on life sciences, biotech, or healthcare technology - Hold an advanced degree in the life sciences (PhD, MD, PharmD) or an MBA - Have worked at a pharmaceutical company, biotech, CRO, or life sciences software company - Have experience with AI/ML applied to biology, chemistry, or clinical operations - Bring an established network among life sciences founders, healthcare VCs, and pharma business development leaders - Have diligenced or integrated businesses operating under GxP, HIPAA, or similar regulatory regimes - Have led post-merger integration or built a new business unit - Have experience with cross-border transactions, particularly in the US, EU, and UK life sciences markets 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: $425,000 - $600,000 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.
Agent Standards Specialist, Global Affairs
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission. About the Role As AI agents move from answering questions to taking action across the internet, the standards that govern identity, delegated authority, discovery, communications, agentic-commerce and payment interfaces, agent-facing web access, agent-specific provenance, and auditability will determine whether agents can operate safely, interoperably, and with clear accountability. OpenAI is looking for an Agent Standards Manager to lead execution of our external technical standards strategy for a defined set of agent standards workstreams. This role will work closely with Agent Security, Applied and Platform teams, Product, Legal, GRC, Global Affairs, and GTM to turn OpenAI’s technical architecture and controls into credible specifications, protocol profiles, assurance criteria, and implementation guidance—and to bring emerging external requirements back into product and security roadmaps before they become blockers. The positions developed here are technical standards positions, not broad public-policy positions. This is a builder’s role as much as an external-facing role. You will execute a prioritized standards plan, author and negotiate protocols, build coalitions, secure the right internal approvals, and represent OpenAI in assigned technical forums. You will also help create repeatable processes that let the company shape agent standards without depending on a single person or relying on technical teams to carry external standards work on top of their core jobs. The Agent Standards Manager is an integrator, not the owner of every underlying technical system. Security, Product, Engineering, and other designated technical teams retain ownership of architecture, threat models, controls, product decisions, approvals, and implementation. This role owns workstream planning, standards translation, drafting, negotiation, external representation within approved mandates, commitment traceability, and implementation handoff. In this role, you will: - Own a focused workstream plan for core agent identity, discovery, and delegated-authorization standards, with adjacent agentic-commerce, web-access, provenance, and auditability work assigned through portfolio prioritization. - Recommend where OpenAI should lead, shape, monitor, oppose, or decline to participate within the assigned workstream, based on technical maturity, governance quality, strategic leverage, implementation readiness, and company priorities. - Develop technical standards positions and normative contributions that preserve distinctions among the human or service principal, agent, workload or runtime, task, session, resource, and policy decision. - Shape requirements for scoped delegation, attenuation, step-up approval, revocation, credential custody, runtime binding, discovery, interoperability, agent-specific provenance, and auditable action trails. - Embed with Agent Security and Applied or Platform teams to translate internal architecture and controls into technically credible specifications, profiles, white papers, and assurance evidence without overstating maturity or deployment status. - Lead review and approval paths across Product, Security, Engineering, Legal, GRC, Global Affairs, and GTM; maintain clear mandates, red lines, owners, dependencies, and external commitments. - Represent OpenAI in priority venues and coalitions, such as IETF and OAuth-related work, FIDO, OIDF, W3C, AAIF, and relevant NIST or ISO efforts; build trust with peer companies, standards operators, and public-sector stakeholders. - Bring external standards intelligence back into product, security, compliance, and go-to-market decisions early enough to shape roadmaps and avoid retrofit, launch, procurement, or market-access friction. - Contribute reusable playbooks, decision records, contribution patterns, and handoffs that reduce key-person risk across the assigned workstream. You might thrive in this role if you: - Have strong experience in technical standards, internet protocols, identity and access, security architecture, applied cryptography, or closely related product or infrastructure work. - Have authored, edited, or materially shaped normative specifications, profiles, drafts, or conformance requirements in serious technical standards or open-source governance settings. - Can reason clearly about OAuth and OIDC, FIDO or WebAuth, workload identity, HTTP signatures, delegated authority, credential lifecycle, revocation, provenance, and auditability; you do not need to be expert in every layer. - Understand that agent trust is a composed stack rather than a single credential, and can separate principal, agent, runtime, task, session, resource, and policy claims. - Can distinguish adopted standards, stable extensions, active drafts, working-group proposals, and exploratory ideas—and know how that maturity should change OpenAI’s posture. - Earn trust with engineers and security leaders while also communicating crisply with lawyers, product leaders, executives, policymakers, and external standards participants. - Have strong judgment in ambiguous, high-stakes environments and know when to lead, compromise, oppose, escalate, or walk away. - Write clearly, negotiate constructively, and are comfortable representing OpenAI externally with discretion. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Senior Product Engineer - Growth & Monetization
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform. About the role LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City. What you'll do - Lead projects across our stack (React, TypeScript) while working with backend APIs (Python, Go) - Build polished, responsive user interfaces for onboarding, self-serve upgrades, and usage dashboards that delight users - Design and execute rapid, client-side UI experiments (A/B tests, feature flags) targeting key activation and conversion metrics - Partner with Product and Design to translate complex user journeys into simple, intuitive web experiences - Implement clean client-side event tracking and behavioral analytics to understand developer journeys - Build growth levers, including smart upgrade triggers, usage notifications and personalized, contextual experiences What you'll bring - Strong mastery of modern frontend development (React, TypeScript, CSS/Tailwind) - Solid fullstack fundamentals (working with REST/GraphQL APIs, Python/Go backends, database querying and caching) - Exceptional UX intuition and a sharp eye for visual polish, micro-interactions, and developer-focused user journeys - Experience building or optimizing frontend growth engines (e.g., onboarding wizards, conversion funnels, checkout flows, A/B testing frameworks, usage metering, subscriptions) - Startup DNA with a desire to ship fast, iterate based on user data, self-directed and take end-to-end ownership - Bonus: Experience building tools for developers, PLG SaaS platforms, or design systems - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks Compensation - Salary Range: $175,000-$240,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Procurement Operations Business Partner, R&D Opera...
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 Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month-end. We are hiring a Procurement Operations Business Partner to own that path for our research organizations and the special programs that spawn out of it. This portfolio behaves differently from the rest of the company in that it purchases goods and services from highly-specialized vendors and new programs regularly appear with real purchasing needs before any process exists for them. You will be the person who makes all of that feel simple to the researchers and program leads who depend on it, and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every purchase in the portfolio is coded, dated, received, and accrued correctly, so research spend is right in the books every month. Expect a steady queue of requests, work orders, and change orders, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, document review, vendor coordination, and requester support. Responsibilities Own the purchasing path for R&D - Manage a high volume of purchase requests, work orders, and change orders each month across research teams and programs, keeping speed and accuracy high at the same time. - Serve as the primary procurement partner for Anthropic's research teams and special programs, guiding requesters from initial request to signed agreement and issued purchase order. - Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. - Determine what each request requires before it can move, whether that is a statement of work, an order form, an amendment, a security or privacy review, or a third party risk assessment, and route it to the right reviewers the first time. - Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. - Structure purchase orders so they match how the vendor bills (fixed fee, milestone, per-unit, or usage in arrears) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage change orders, renewals, and closures over the life of each agreement. - Act as the dedicated operations partner for our research services vendor portfolio, where engagements are structured as master agreements with frequent work orders and scope changes, and where speed and documentation discipline both matter. - Handle the mechanics that come with hardware, equipment, and lab purchasing, including multi line quotes, lead times, shipping and receiving, and asset handoffs. Financial completeness & accuracy - Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense vs. prepaid, capitalized equipment vs. operating spend). - Work the hard cases with Accounting: services that span periods, partially delivered milestones, per-unit work billed in arrears, credits and true-ups, and work orders amended mid-month. - Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. - Serve as the first line reviewer for month end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. - Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. - Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Stand up new programs - Be the first procurement call when a new research program or initiative spins up. Scope what they will buy and how often, agree a right sized path with Legal, Security, and Finance, and have it working before volume arrives. - Run a regular pipeline check in with your highest velocity teams so upcoming purchases are visible early and nothing urgent arrives as a surprise. - Translate procurement, legal, security, and finance requirements into plain language for researchers and engineers, and carry their operating reality back to those teams so controls fit the work. Be the front door - Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. - Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. Continuous improvement - Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. - Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications - Proven track record of owning a high-volume purchasing portfolio end-to-end in procure-to-pay and intake platform. - Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid vs. expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. - Experience supporting outsourced or managed service vendors at scale, where scope and volume move month to month and the contracts, purchase orders, and invoices have to keep up with each other. - Working knowledge of how contract review, security and privacy review, and financial controls fit together in a purchase, and the judgment to know when to push a request through and when to slow it down. Preferred qualifications - 5-7+ years of procurement operations, purchasing, or vendor operations, including time supporting a research, engineering, hardware, or outsourced services organization. - Experience as the embedded procurement partner for a hyper scaling data operations, ML, RL, and lab environments - Time at a hypergrowth technology company scaling procurement operations for outsourced or vendor delivered work. - Background in accounting, accounts payable, or a month-end close process, including experience with three-way match - Sourced human data, data labeling, annotation, or evaluation vendors (or comparable BPO and outsourced operations) with a point of view on where that market is heading - Direct experience with Zip, Workday Financials, and Ironclad. - Prior ownership of month end accrual review or open PO reconciliation for a large, variable spend portfolio - Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Finance & Strategy, Compute (Central)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Strategic Finance Lead to own the consolidated financial view across Anthropic's compute infrastructure organization. Compute finance spans across accelerators, cloud spend, direct infrastructure, datacenters and data partnerships. This role sits at the center: owning the consolidation, the operating cadence, the cost allocation methodology, and the executive-facing narrative that ties them together. You will be a key partner to Corporate FP&A, Accounting, and Finance Systems, ensuring our compute financials integrate cleanly into the company plan, our models reconcile across pillars, and our leadership and board materials reflect a single, defensible source of truth. Key responsibilities: Consolidation & Reporting - Own consolidation and workback of the financial review cadences across all compute finance pillars into a single narrative for finance and compute leadership - Manage the compute finance contribution to board materials and executive reviews - Own and maintain team dashboards, recurring content, and reporting infrastructure — keeping them live, accurate, and reconciled - Drive integration of financial models across the compute finance team into a coherent, full three-statement view Operating Rhythm & Systems - Own the calendar and cadence between Compute Finance and Corporate FP&A — close, forecast, budget, and long-range plan handoffs - Run team operating rhythm: meeting agendas, sprint cadence, recurring deliverable tracking, and cross-pillar coordination - Own compute finance's planning-system footprint — datasets, sources of truth, and pipeline into corporate systems - Drive model hygiene, version control, and central organization of team financial models Minimum qualifications - Experience in FP&A, strategic finance, finance operations, consulting, or investment banking, preferably in a multi-business-unit or infrastructure-heavy environment - Built or run a consolidation, allocation, or planning process across multiple finance owners - Exceptional analytical skills and the ability to reconcile complex models into a single defensible view - Strong process design and operating-cadence instincts - Excellent written communication; comfortable producing board- and executive-level materials - Comfort working cross-functionally and communicating complex financial information to non-finance audiences - Bias towards action, strong work ethic, and experience driving outcomes under tight timelines - Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications - 7+ years of experience in FP&A, strategic finance, finance operations, consulting, or investment banking - Experience with cost allocation / chargeback methodologies in a cloud or infrastructure context - Background in AI, ML, cloud service provider economics, or large-scale computing infrastructure - Proficiency with SQL, Python, and Excel - Prior chief-of-staff, BizOps, or finance-systems experience in a high-growth environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $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.
Software Engineering Intern (Summer 2027)
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens. Example Projects - Build reinforcement learning and post-training data pipelines that power frontier model development - Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers - Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy - Ship tools that accelerate the growth of new qualified contributors on Scale's platform - Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted - Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale - Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy - Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks - Develop new AI infrastructure products to visualize, query, and explore Scale data Requirements - A graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) - Available for a Summer 2027 internship (May/June start dates) in San Francisco - Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating - Previous Computer Science/Software Engineering internship experience - Track record of shipping high-quality products and features - Experience building systems that process large volumes of data - Experience with Python, Typescript, React, and/or MongoDB Nice to Have - Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects - Open source contributions or a portfolio of shipped side projects How We Work Our credos shape how we make decisions and work as a team: - Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve - Team Flow — ideas, energy, and support move freely across teams; optimize for the whole - Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage - Find the 20% — find the inputs that drive the outcomes and execute them completely - Write the Market — our research puts us at the frontier, and we bring our partners there first - Three Moves Ahead — consider the consequences of consequences, and plan accordingly PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Director, Technical Revenue Accounting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Director, Technical Revenue Accounting to join our Accounting Team. In this role, you will own the company’s most complex ASC 606 technical positions, lead the revenue accounting memo portfolio, and serve as the senior accounting decision-maker for new product revenue recognition treatments, non-standard deal structures, and partnership / marketplace go-to-market initiatives. You will partner directly with Deal Desk, Product, Legal, and Partnership leadership and set the technical revenue policy direction for the company! If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative company, come join us in our mission to build cutting-edge, safe AI. Key responsibilities - Own the company’s ASC 606 technical accounting memo portfolio — authoring and reviewing position papers on the most complex and judgment-intensive revenue recognition scenarios, including the SSP study - Lead the technical revenue assessment for all new product offerings (NPI) and programs, serving as the accounting decision-maker on performance obligation identification, SSP evaluation, and contract modification frameworks, and providing authoritative guidance to Product, Pricing, and GTM cross-functional teams - Serve as the senior Revenue Accounting partner to Deal Desk, Sales, and Legal — structuring non-standard deal terms, and providing real-time revenue recognition guidance on the company’s largest and most strategic commercial arrangements - Provide technical accounting guidance on partnership and marketplace arrangements for cloud third-party channels, including principal-vs-agent determinations, and revenue-share / co-sell economics - Own key accounting processes such as SSP analysis and related allocations, contractual credit amortization, reseller/partner channel incentives and rebates, footnote disclosures etc. - Own the revenue contract review framework, including ASC 606 checklists, position papers, and escalation paths, ensuring revenue recognition compliance scales with deal volume - Lead technical research initiatives on emerging revenue recognition issues and present recommendations to the Controller - Translate complex technical accounting requirements into actionable business guidance for non-accounting stakeholders - Review revenue-related month end close journal entries and flux analysis - Drive process improvement and revenue system implementation projects, including scoping, design sign-off, and UAT ownership Minimum qualifications - Have a track record of authoring technical accounting memos on complex, judgment-intensive revenue arrangements - Have strong knowledge of ASC 606 with experience in performance obligation analysis, standalone selling prices, contract modification accounting, considerations payable to a customer, principal versus agent analysis, material rights, and variable consideration treatment - Ability to articulate complex accounting positions clearly, and proactively conduct technical accounting research to identify emerging revenue recognition challenges - Have hands-on experience with revenue recognition tools (e.g., Workday Financial Management, Zuora RevPro) - Have SQL proficiency for querying and analyzing large revenue and contract datasets - Have proven ability to lead cross-functional workstreams across Deal Desk, Product, and Partnership teams and drive results - Have a demonstrated ability to thrive in fast-paced, ambiguous environments Preferred qualifications - Have 14+ years of progressive accounting experience, with extensive expertise in ASC 606 implementation and complex revenue recognition scenarios, including 4+ years in a technical revenue leadership or managerial role - A Bachelor's degree in Accounting or Finance; CPA required with demonstrated technical accounting expertise - Big 4 technical accounting / national office background combined with industry experience - Experience with technical accounting advisory work, including revenue recognition consulting or implementation experience - Experience with cloud marketplace, reseller, or channel partnership revenue arrangements - Experience working with consumption-based and subscription-based revenue models - Knowledge of AI/ML, SaaS and technology sector revenue recognition complexities 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.
Lead Technical Instructor
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 engineers are building some of the most ambitious AI systems and applications in the world. We also help engineers, architects, and technical practitioners across Anthropic, our partners, and our customers learn to build with Claude. Until now, technical instruction has largely been a shared responsibility. We are building a dedicated technical instruction function to make that learning exceptional and ensure that everyone who teaches in Anthropic’s technical programs meets a consistent, high bar. We are looking for a Technical Instructor Lead in New York to help bring that standard to life. About half of your time will be spent delivering ILT hands-on technical instruction in New York and remotely across European time zones. The other half will be spent developing other instructors, running train-the-trainer programs, and improving the quality and consistency of technical instruction across programs. You are an engineer who teaches and a teacher who makes other teachers better. You can build an agent live in front of a skeptical staff engineer, diagnose a broken lab while a room of learners waits, and adapt when a lesson is not landing. You can also watch another instructor teach for ten minutes and identify the one change that will materially improve their next session. This is not primarily an instructional design or classroom facilitation role. You should be comfortable writing code, debugging technical systems, and teaching practitioners who may know more than you do about their particular domain. You will report to the Head of Technical Training. Key responsibilities - Deliver hands-on technical instruction across Anthropic’s onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones. - Model excellent technical teaching for audiences ranging from small, interactive labs to 100+ technical practitioners, adapting to different levels of experience and technical depth. - Run train-the-trainer programs for internal experts, contract instructors, and training partners, using Anthropic’s practice-teach, feedback, and certification processes. - Coach and calibrate instructors through live and recorded observations, actionable feedback, and recommendations on readiness to teach specific content. - Partner with technical experts to turn subject matter expertise into effective sessions, labs, exercises, and demonstrations, and improve content based on what happens in the room. - Own instructional quality in assigned programs, staffing yourself and cleared instructors into East Coast program calendars and ensuring delivery meets Anthropic’s standards. - Use learner and instructor data to identify gaps in instruction and recommend improvements to curriculum, delivery, and instructor development. - Help evolve Anthropic’s technical instruction function, bringing your experience from the room into our standards, instructor development practices, and approach to scaling quality. Minimum qualifications - 6+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role. - 3+ years of hands-on technical instruction, including teaching engineers in live environments both in person and remotely. You know how to make difficult technical concepts click and how to adapt when they do not. - Production engineering experience. You have written and shipped production software and can engage credibly with experienced engineers on architecture, implementation, debugging, and technical tradeoffs. - Recent hands-on AI development. Within the past three years, you have built or debugged applications using LLM APIs, agents, tool use, MCP, or related technologies. You are comfortable with rapidly changing AI development tools and unfamiliar technical problems. - Instructor development experience. You have helped other instructors or technical presenters improve through observation, structured feedback, practice teaching, or train-the-trainer programs. - New York City location or willingness to relocate. You will work from our NYC office whenever an instructor-led program is in session there, typically around three days per week. The role includes approximately 25% travel to San Francisco and, over time, Europe. Preferred qualifications - Experience designing or operating a train-the-trainer, instructor certification, or observer-calibration program. - A portfolio of sessions, labs, or courses you have designed and taught, plus material you created so others could teach it. - Experience teaching across time zones or to European audiences, including coaching instructors from recorded sessions. - Experience using Claude Code or a comparable agentic coding tool as a significant part of your engineering workflow. - Experience building with the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or comparable infrastructure. - Experience with public speaking, conference workshops, or developer advocacy. - Deep enthusiasm for AI and a genuine commitment to building and deploying it responsibly. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.
Software Engineer - New Grad
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast. Example Projects - Build reinforcement learning and post-training data pipelines that power frontier model development - Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers - Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy - Ship tools that accelerate the growth of new qualified contributors on Scale's platform - Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted - Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale - Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy - Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks - Develop new AI infrastructure products to visualize, query, and explore Scale data - Build a customer service RAG application that handles thousands of questions a day - Integrate a cutting-edge ML model that predicts churn into a customer's retention system Requirements - A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) - Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating - Previous Product/Software Engineering internship experience - Track record of shipping high-quality products and features at scale - Experience building systems that process large volumes of data - Experience with Python, Typescript, React, and/or MongoDB Nice to Have - Hands-on experience with LLMs, evaluations, or agentic systems — whether from internships, research, or personal projects - Open source contributions or a portfolio of shipped side projects How We Work Our credos shape how we make decisions and work as a team: - Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve - Team Flow — ideas, energy, and support move freely across teams; optimize for the whole - Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage - Find the 20% — find the inputs that drive the outcomes and execute them completely - Write the Market — our research puts us at the frontier, and we bring our partners there first - Three Moves Ahead — consider the consequences of consequences, and plan accordingly Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $124,000 - $162,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Product Designer, Evals & Prompts
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 Prompts spec out what Claude does. Evals measure whether it did. The Product Prompt and Eval Design team does both for product design: the system prompt that greets a new user, the tool descriptions that decide whether Claude searches, the instructions that keep a slide deck from tipping into slop, and the evals that test all of it. The point is to keep the model and the product aligned with what users expect, what the product strategy calls for, and what safety requires, on every surface and through every model launch. This role is a foundational member of that work on the eval side: building the evals that check the prompts, the harness that runs them, and the tools that let designers do this work themselves. It sits on the Product Prompt and Eval Design team in Product Design, works day to day with the team's surface owners and the engineers in each product team, and pairs per surface with the prompt engineering team at model releases. Key responsibilities - Write and revise the prompts behind Claude's tools, features, and behaviors on a product surface; test the surface, turn findings into prompt fixes, ship them, and confirm the prompt users get is the one intended - Build the graders that prove a prompt fix and rerun on the next model; turn designers' hand-run rubrics into automated evals, then read transcripts for what the eval missed - Build visual, low-code eval tools designers can use without an engineer: assemble a comparison set from real transcripts, turn a plain-English rubric into a grader, compare prompt variants across models side by side, and read results in the tool rather than a notebook - Watch designers use those tools and make them simpler - Support model releases: test each surface against the new model, write prompt fixes and migrations, and write prompts for features launching with it, so the surface owner's call has numbers behind it - Stand up and scale the eval harness: build the test environment that exercises our 50 to 100 tools with trustworthy settings, keep evals green across models, and call whether a regression is the harness or the model - Package what prompting can't fix for training, with the eval attached: graders for crisp behaviors, human-feedback questions and good/bad pairs for fuzzy ones like writing quality Minimum qualifications - Production-quality Python - Experience building and maintaining evaluation pipelines for LLM products: graders, rubrics, comparison sets, regression suites, and the plumbing that runs them across models - Experience building internal tools with a real interface for people who do not write code - Experience standing up test harnesses, sandboxing tool calls, and pinning the settings that make runs comparable - Experience shipping prompts, or working closely with people who do, and understanding why a prompt that works on one model fails on the next - Reads transcripts, not only scores Preferred qualifications - Has worked inside a model-launch cycle - A/B testing experience and the ability to connect offline evals to online outcomes - Front-end or notebook-to-app experience, and opinions about what makes an eval result legible at a glance - Has turned product rubrics into training signal: graders, human-feedback questions, or preference pairs - Cares how Claude behaves for the people using it, not only whether the metric moved The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Technical Training
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The world’s engineers are hungry to learn how to get the most out of Claude. At Anthropic, technical instruction is already happening everywhere: our Applied AI and Forward Deployed Engineering teams are teaching customers and partners, and engineers across the company are helping others learn to build with Claude. Today, that instruction is a shared responsibility, delivered alongside people’s primary roles. As demand grows, we need to turn that distributed expertise into a world-class technical instruction function. You will build that function. You will be the first person at Anthropic whose full-time job is technical instruction. You’ll spend your first year primarily in the room, teaching engineers, architects, and other technical practitioners, and build the people, standards, and systems that allow Anthropic’s technical instruction to scale far beyond the people we directly employ. This is a player-coach role. You’ll lead sessions yourself, manage a bench of technical instructors, set the bar for what “ready to teach” means, and certify others to teach to that bar both inside and outside Anthropic. You’ll have real ownership: you’ll decide who is cleared to teach in Anthropic’s technical programs. You’re an engineer who teaches and a teacher who has led other teachers. You can build an agent live in front of a skeptical engineer, diagnose what isn’t working in a technical lab, and make the material better. You can also watch an experienced instructor teach, identify what’s missing, and tell them their session isn’t ready yet, then coach them to get there. Key responsibilities - Lead from the front : Deliver hands-on technical instruction across Anthropic’s onboarding and residency programs, from 12-person labs to 100-person field-readiness days. Set the tone for technical instruction by teaching regularly and modeling what excellent delivery looks like. - Build the instructor bench : Hire, onboard, manage, and develop technical instructors. Run the hiring loop, establish clear performance expectations, and make renewal and conversion decisions against criteria you define. - Set the quality bar : Define what excellent technical instruction looks like at Anthropic. Create and maintain the observation rubric, dry-run protocol, and cleared-to-teach process that every instructor-led technical session must meet. - Scale through certification : Design and run train-the-trainer programs for internal experts, contract instructors, and facilitators from our training partners. Assess instructors against Anthropic’s technical delivery standards and certify those who meet the bar, enabling instruction to scale beyond our employees. - Turn expertise into great instruction : Partner with Technical Enablement Leads to transform technical content into sessions, labs, and exercises that work in a live room. Bring back what you learn from teaching to continuously improve the content. - Enable programs without owning them : Partner with our onboarding and Training & Certification teams to staff programs with cleared instructors. Own the quality of instruction within those programs, even when the broader program sits elsewhere. - Measure and improve : Establish meaningful measures of learner outcomes and instructor quality. Review results at the session and instructor level, identify where instruction is falling short, and act on what you learn. Minimum qualifications - 8+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or related technical roles. - 4+ years of hands-on technical instruction: You have taught engineers in live, hands-on settings, across different audience sizes and levels of technical depth. You know how to make a technical concept click in a room and how to adapt when it doesn’t. - Production engineering experience: You have written and shipped production code and can engage credibly with experienced engineers on architecture, implementation, debugging, and technical tradeoffs. - Recent hands-on AI development: Within the past three years, you have built or debugged applications using LLM APIs, agent frameworks, tool use, MCP, or similar technologies. You are comfortable getting hands-on with unfamiliar technical problems rather than teaching only from prepared material. - People leadership: You have managed instructors, trainers, developer advocates, solutions engineers, or similar technical practitioners, including hiring, coaching, performance management, and development. You have continued teaching or delivering technical content while managing others. - Instructor development: You have designed or run a train-the-trainer program, instructor certification process, observation framework, or comparable system for evaluating and improving instructor quality. - Location: Based in San Francisco or willing to relocate. This role requires being in the SF office whenever an instructor-led program is in session, typically 3–4 days per week. Preferred qualifications - A portfolio you can show us: sessions, labs, or courses you built and taught, and a rubric, certification, or TTT program you designed for others - Experience building an instruction or developer-education function from scratch - Experience managing a contractor or vendor-supplied instructor bench, or certifying instructors across regions from recordings or through trained observers - Experience with Claude Code, or a comparable agentic coding tool, as core infrastructure in your daily work - Experience building on the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, or Microsoft Foundry - Public speaking, conference workshops, or community-facing developer advocacy - Deep enthusiasm for AI and genuine care about building it responsibly The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Lead Applied AI Engineer
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: The Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly, running rigorous evals on our own work, and feeding hard-won learnings back into the platform. If you want to work on the frontier of agent-building, this may be the team for you. ABOUT THE ROLE: We're looking for a Lead Applied AI Engineer based in our NYC office. This is a hands on role leading technical projects end to end and mentoring other engineers. You will help drive the development of complex agentic projects. You're expected to build, ship, and also be the person other engineers come to when a project is stuck or a design decision needs a second set of eyes. *This role is based onsite in New York, NY WHAT YOU'LL DO: - Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains - Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes - Set the technical bar for the team on code quality, testing, documentation, and project scoping - Mentor engineers on the team through code review and design discussions - Work directly with customers and internal stakeholders to translate requirements into technical plans - Identify gaps in internal tooling, frameworks, and processes and drive enhancements - Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders. - Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact. - Contribute to the LangChain and LangGraph ecosystem, including openView Posting https://jobs.ashbyhq.com/langchain/c4bdc833-638a-4bac-8ae4-f2ec491ec7d3 source components, documentation, and shared tools. WHAT YOU'LL BRING: - 4+ years of software engineering experience with direct experience building and deploying LLM-powered applications or agents in production - Experience leading technical projects end to end, mentoring engineers and raising the technical quality of a team - Hands-on experience implementing evaluation and monitoring systems for agents or workflows. - Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities. - Strong coding skills in Python or TypeScript (ideally both). - Excellent communicator who can simplify complex technical ideas for diverse audiences. - Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion. - Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI. - Based in or willing to relocate to New York, NY NICE TO HAVES: - Expertise with LangChain or LangGraph. - Experience building or maintaining open source projects. COMPENSATION We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual Annual Salary Range: $160,000 - $200,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Applied AI, Research 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. Applied AI Research Engineer Applied AI Research Team, Applied AI About the role: As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need. In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most. This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better. Responsibilities: - Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain - Own the technical GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle - Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains - Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one - Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field - Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps - Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge - Travel occasionally to customer sites for workshops, implementation support, and research collaboration You may be a good fit if you have: - 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users - A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed - Strong technical aptitude with strong proficiency in at least one programming language - Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems - Experience designing evals, building prototypes, or developing technical enablement for complex products - The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics - Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level - The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions - A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff+ Site Reliability Engineer, Safeguards ML In...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise. This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping changes to critical systems safely, and of automating yourself out of the work you did last quarter. What you'll do: - Launch captain model releases: stand up, configure, and verify safeguards for every new model, and serve as the safeguards point of contact in the launch room during release windows. - Own the off-cycle deployment of new safety classifiers as they ship from research — canarying rollouts, running post-deploy validations, and investigating discrepancies when something looks wrong. - Verify that the right safeguards are provably live on the right models across every deployment platform (1P, AWS Bedrock, GCP Vertex, etc.), and detect and eliminate configuration drift between them. - Automate yourself out of last quarter's work: turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. - Plan to use Claude aggressively to do this! And be a trailblazer that paves the path for safe agentic operations of safety-critical systems. - Build and maintain a safeguards registry with full provenance — what is running in production, on which model, on which platform, and when and by whom it was deployed. - Participate in on-call and operational-duty rotations covering service incidents, model provisioning, and time-sensitive research and safety launches. You may be a good fit if you: - Have owned production change management at scale — deploy pipelines, config management systems, canary analysis — and have strong opinions about what "verified" means. - Have run high-stakes releases: served as a launch captain, incident commander, or release owner for systems where a bad deploy has real consequences, and are energized rather than drained by being in the critical path. - Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements — and a track record of turning (and fixing!) postmortem action items into process and tooling changes. - Have a desire to close the gap where nobody has yet raised their hand, even if it requires manually hand-holding processes until automation and tooling can be built. - Have hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale. - Are proficient in Python; experience with Rust is a plus but not required. Strong candidates may also have: - 8+ years of industry software engineering or site reliability engineering experience. - A demonstrated history of reducing operational toil through automation, including transitioning teams from manual deployment processes to self-serve pipelines. - Experience running launch or production-readiness review processes across multiple teams. - Familiarity with LLM inference systems and the operational characteristics of transformer-based models. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Principal Robotics Machine Learning Engineer
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Research Engineer, ML Platform
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