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Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: As our GTM Compensation Lead on Commercial Operations, you’ll own commissions strategy, design, and execution for GTM. This is an opportunity to evolve how GTM Comp supports a growing GTM org through Notion’s AI-era selling motion and Enterprise growth. You’ll set the incentive systems that shape how our sellers focus, partner, and grow with customers. On a typical week, you’ll work with senior GTM leaders — including the Head of Sales and geo leaders — to translate business priorities into clear, accurate, scalable comp programs. What You'll Achieve: By your 90th day, map the current GTM Comp operating model and publish a roadmap for evolving the function as GTM grows. Introduce AI quick wins that improve the quality of work: triage inbound questions, help reps estimate payouts, flag discrepancies across systems, and automate reminders tied to the comp calendar. Build a planning-cycle framework that makes design inputs, trade-offs, decision rights, and timelines clear across GTM, Finance, and Commercial Operations. Provide board-level updates, including clear reporting on plan health, payout accuracy, systems quality, and key design decisions. Skills You'll Need to Bring: Demonstrated judgment balancing Finance discipline with GTM effectiveness — you can protect accuracy and controls while designing plans that support the selling motion. Strong financial modeling and data fluency, with the ability to translate complex plan mechanics into clear analysis, recommendations, and executive-ready narratives. Experience leading transformative operational projects from design through rollout, especially where cross-functional alignment and change management matter. Track record of building and maintaining sustainable quarterly operating cadences, including clear calendars, communications frameworks, and repeatable review moments. Ideally you have managed this process at a public company. AI-fluent operating style: you use AI to improve decision quality, automate manual checks, identify data discrepancies, and build tools or workflows that make teams more self-serve. Familiarity with Everstage a plus! Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $230,000 - $257,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144 . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Achieving this requires effective engagement with policymakers and the broader communities impacted by AI. Our Global Affairs team builds authentic, collaborative relationships with public officials and the wider AI policymaking community. We work to ensure that insights from policymakers and external stakeholders inform OpenAI’s work and, in collaboration with colleagues across the organization, support the development of thoughtful regulation, industry standards, and the safe and beneficial development of AI. About the Role As the Policy and Partnerships Lead CEE & Baltics, you will develop and lead OpenAI’s public policy and partnerships strategy across Central and Eastern Europe and the Baltics as part of our broader European team. You will determine where OpenAI should engage most deeply, develop differentiated country strategies, and connect national political and policy dynamics with OpenAI’s broader European and global objectives. You will build trusted relationships with governments, regulators, public administrations, civil society, business, research institutions, and other influential stakeholders, while identifying practical, high-impact opportunities to demonstrate how AI can contribute to economic competitiveness, public-sector modernization, education and skills, security, resilience, and broader societal benefit. You will also serve as an important bridge between national capitals and Brussels, surfacing regional intelligence, assessing where national debates may influence Europe-wide outcomes, and translating OpenAI’s European priorities into locally credible strategies and engagement. This is a senior, high-ownership role at the intersection of public policy, government affairs, and partnership building. You will work closely with colleagues across Global Affairs, Legal, Communications, Product, Safety and Security, Partnerships, and Go-to-Market, and report to the Head of EU Member States Policy & Partnerships. Warsaw is the preferred location for this role. Exceptional candidates based elsewhere in Central and Eastern Europe or the Baltics may be considered, subject to employment feasibility. We offer relocation assistance to new employees. The role will involve frequent travel across the region, periodic travel elsewhere in Europe and occasional travel to the US (approximately three times per year). In this role, you will: Develop and execute OpenAI’s public policy and partnerships strategy across Central and Eastern Europe and the Baltics, identifying priority markets, issues, and opportunities for engagement. Build and maintain trusted relationships with senior policymakers, regulators, public administrations, civil society organizations, researchers, business leaders, and other influential stakeholders. Develop differentiated country strategies that reflect local political, economic, and regulatory dynamics while advancing OpenAI’s broader European and global priorities. Lead engagement on key AI and technology policy issues, helping shape policy environments that support the safe and responsible development and deployment of AI. Identify and develop partnerships, programs, coalitions, and initiatives that translate OpenAI’s mission and policy priorities into tangible regional impact. Monitor political, legislative, and regulatory developments across the region, surface emerging risks and opportunities, and provide clear strategic recommendations to internal stakeholders. Serve as a bridge between national capitals and Brussels, helping connect national policy developments with EU-level debates, regulation, and implementation. Represent OpenAI in senior-level meetings, industry forums, conferences, and other public and private engagements. Prepare OpenAI leaders for engagement with policymakers and external stakeholders, including developing briefing materials, policy positions, and strategic recommendations. Work cross-functionally with Legal, Communications, Product, Safety and Security, Partnerships, Go-to-Market, and other teams to develop and execute coordinated strategies. You might thrive in this role if you: Have deep knowledge of the political, institutional, and technology-policy landscape across Central and Eastern Europe and/or the Baltics, with meaningful credibility in at least one priority market. Have an established network and experience building trusted relationships with policymakers, regulators, civil society, and other senior stakeholders. Understand EU policymaking and the interaction between Brussels-level policy, national politics, regulation, and implementation. Bring strong technology-policy judgment and an understanding of issues relevant to AI, such as privacy, data, competition, copyright, product safety, and consumer protection. Direct AI-policy experience is a significant plus. Have a track record of translating political relationships and policy objectives into concrete partnerships, programs, coalitions, campaigns, or other initiatives with meaningful impact. Are comfortable working across multiple countries and political environments, recognizing where a common regional approach creates leverage and where local nuance is essential. Are highly self-directed and able to manage multiple markets and workstreams through rapid cycles of analysis, decision-making, and execution. Build trust with senior stakeholders while exercising the judgment to challenge assumptions, reshape an approach, or advise against opportunities that are unlikely to have meaningful impact. Are an effective coalition builder who can bring together internal teams and external partners around a shared strategy. Communicate complex technical and policy concepts clearly to diverse audiences and have the executive presence to represent OpenAI in sensitive, senior-level settings. Bring strong strategic thinking, problem-solving, project management, and cross-functional leadership skills. Care deeply about the potential for AI to benefit society while remaining thoughtful about its risks and the responsibilities associated with its development and deployment. Demonstrate sound judgment, intellectual agility, and outstanding personal integrity. Are fluent in English. Professional proficiency in at least one CEE or Baltic language is strongly preferred, with Polish particularly valuable. 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.
About the Team Enterprise Marketing helps the world’s largest organizations understand, adopt, and scale AI. We create programs that bring OpenAI’s products, research, and perspective closer to the priorities, decisions, and work of enterprise customers. Executive programming and hands-on experiences are an important part of how we help customers understand and adopt AI. They bring together our technology, our people, and real customer challenges so leaders can explore what is possible and see how it applies to their organizations. About the Role We’re looking for a Strategic Experiences Lead to bring OpenAI’s technology to life through compelling executive programs and interactive customer experiences. You will combine storytelling, demonstrations, hands-on exploration, and conversations with our experts to help customers understand what our technology can do and imagine new ways to put it to work. Working with Product Marketing, technical teams, Design, and Events, you will take an idea from concept through delivery—shaping the programming, the interactions, and how they come together into a cohesive experience. Your work will span executive engagements, customer events, and other in-person settings. This is a senior, hands-on individual-contributor role for someone who combines creative thinking with customer and commercial judgment. You will develop new concepts, test them with customers and partners, and lead the work required to deliver them at a consistently high standard. This role is based in San Francisco. We use a hybrid model of three days in the office each week and offer relocation assistance. Given the nature of the work, periods of more intensive onsite participation are expected as new experiences are designed and launched. Travel may be required. In this role, you will: Translate product strategy and customer priorities into compelling programming and interactive experiences. Shape the customer journey: what people hear, see, try, and take away. Bring together storytelling, demonstrations, hands-on activities, and expert conversations around a clear customer objective. Develop and test concepts with technical, creative, and events partners, then guide the work through delivery. Make thoughtful tradeoffs across experience quality, technical feasibility, budget, and timing. Use customer feedback and evidence of learning, adoption, and account progress to improve the work. Build formats that can evolve with our technology and work across different audiences and settings. You might thrive in this role if you: Have 10+ years of experience in strategic programs, enterprise marketing, customer innovation, executive programs, field marketing, or a related go-to-market discipline. Have personally built a meaningful customer-facing program or capability from the ground up and helped it scale. Can translate a product capability or customer need into compelling programming and experiences that invite people to participate Understand enterprise customers and can connect program choices to adoption, relationship, and commercial outcomes. Know how to prototype, learn quickly, make hard tradeoffs, and stop work that does not earn further investment. Are equally comfortable developing a creative brief, shaping a session or interactive experience, reviewing a prototype, and resolving a delivery issue. Create clarity and momentum across functions and time zones without relying on formal authority. Create formats and resources that other teams can use and improve without losing the quality of the original experience. Are deliberately choosing a senior individual-contributor path because you want to remain close to consequential work. 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.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: We are looking for a proven Outcomes Architects Manager with a strategic and entrepreneurial spirit to join the GTM Team. As the Enterprise OA Leader, you will play an important role defining/iterating on our expand motions, providing customer feedback to help share our roadmap, driving increased adoption, owning ongoing value delivery, and and generating expansion revenue to grow our business. You will own the strategy and execution of your team’s segment. The Outcomes Architect team is a new function at Notion that combines RM, CSM and SE capabilities to drive workflow adoption and retention at our customers. What You'll Achieve: Increase Team Performance on Adoption, Retention, and Customer Value: Your role centers on up-leveling the team to boost product adoption, retention, customer value, and satisfaction through effective retention strategies and churn prevention in the Enterprise segment (note that your team will own a subset of renewals). Team Leadership and Development: As a leader, you'll recruit, train, and mentor a high-performing Outcomes Architect team that embodies our core values and operational goals. Data-Driven Insights and Operational Excellence: You will build and refine a consistent KPI/OKR system that enables data-driven decisions to identify risks, trends, and opportunities. Cross-Functional Collaboration and Partnerships: You will partner with solutions consulting and forward deployed engineers to ensure smooth customer onboarding and continuously refine the customer journey to drive long-term success. You will also bridge the gap between customers and internal teams by channeling feedback into product development, ensuring continuous improvement of the platform. AI Workflow Adoption: You and your team will drive new workflows and build beside customers to implement them. Customer Leadership: You will serve as the key extension of your team for high-stakes customer engagements (both internally and externally), such as business reviews. Skills You'll Need to Bring: 5+ years of people management experience for a CS, sales, SE or account management team Experience with large and strategic customers (experience with Fortune 500) Experience working with technical stakeholders Experience driving AI adoption Can convey complex information to executives clearly and concisely and resolve tradeoffs Effective communicator across levels and audiences Strong leadership skills with a focus on empowerment, positive-mindsets, collaboration and ability to inspire a team of direct reports High ownership mentality Comfortable with the ambiguity and pace of iteration of an early-stage startup Growth mindset and thrive in the building stage of a nascent team Nice to Haves: You have experience using Notion You've built new CS playbooks or processes Experience using Gainsight Experienced in hiring and training talent at scale Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated base salary range for this role is $225,000 - $275,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144 . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Head of National Security Sales (DoW/IC) at Anthropic, you'll lead and scale our national security sales organization to drive the adoption of safe, frontier AI across the Department of War and the Intelligence Community. You'll leverage your deep understanding of defense and intelligence missions and proven sales leadership expertise to build a high-performing team while establishing strategic relationships with key defense and intelligence organizations. Working closely with GTM, product, policy, engineering and marketing teams, you'll define and execute our go-to-market strategy for the DoW and IC while maintaining the highest standards of security and compliance. Key responsibilities Build, lead, and scale a national security sales team covering the DoW and IC, including hiring top talent, setting clear performance expectations, and providing ongoing coaching and development Develop and execute comprehensive go-to-market strategies for the DoW (including the military services, combatant commands, OSW, and defense agencies) and the IC, including market segmentation, competitive positioning, and revenue forecasting Anchor the team's work in mission impact: prioritize opportunities where safe, frontier AI materially changes how commands and agencies plan, analyze, and operate, and measure success by outcomes delivered to those who serve Own overall national security revenue targets and ensure team performance against quotas, while providing visibility into pipeline health and deal progression Win new business across the DoW and IC by helping commands, components, and agencies integrate AI into their technology stacks and mission workflows to accelerate delivery and mission outcomes Establish and refine sales processes, methodologies, and playbooks specific to DoW and IC procurement, including FAR/DFARS compliance, classified and unclassified contracting pathways, and agency-specific security and accreditation requirements Build and manage strategic relationships with cloud service providers, systems integrators, and Defense Industrial Base partners to create scalable go-to-market motions across classified and unclassified environments Synthesize market feedback and customer insights to inform product roadmap and competitive strategy, working closely with product and marketing teams Partner with legal, compliance, security, and delivery teams to ensure successful contract execution and customer satisfaction Maintain visibility and relationships with senior military, civilian, and IC leadership while empowering your team to own day-to-day customer relationships Implement metrics, reporting, and performance management systems to drive team accountability and continuous improvement Represent Anthropic at industry events and with key stakeholders, establishing our brand as the trusted AI partner for the national security community Minimum qualifications 15+ years of enterprise sales experience with 5+ years managing sales teams selling into the DoW and/or IC, with a proven track record of scaling revenue and building high-performing organizations Demonstrated ability to build, maintain, and leverage senior military, civilian, and leadership relationships across the DoW and IC—with an existing network of contacts across the national security community strongly preferred Deep understanding of DoW and IC missions, organizational structures, modernization initiatives, and technology adoption patterns across multiple services, commands, and agencies Active security clearance (TS/SCI required) with ability to discuss capabilities in classified environments Demonstrated ability to hire, develop, and retain top sales talent while creating a culture of performance and accountability Experience developing and executing go-to-market strategies for emerging technologies in the national security space Extensive experience with defense and intelligence contracting vehicles, procurement mechanisms (including OTAs and IDIQs), and compliance and accreditation requirements such as FAR/DFARS, FedRAMP, and DoW Impact Levels Strong track record of consistently exceeding team revenue targets and building predictable, scalable sales motions Proven ability to build and manage strategic channel partnerships and ecosystem relationships, including cloud providers, systems integrators, and Defense Industrial Base primes Excellent communication and relationship-building skills across all levels, from technical teams to senior military, civilian, and IC leadership Experience implementing sales methodologies, CRM systems, and performance management processes A passion for safe and ethical AI development, with the ability to articulate its importance in national security contexts and build trust with DoW and IC stakeholders Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $550,000 — $700,000 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.
About the Team The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software our device software is reliable, testable, and ready to ship. We design and maintain build systems, CI pipelines, automated test frameworks, and hardware-in-the-loop labs to enable rapid, safe product launches. Our work spans build systems, developer tools, systems integration, and cross-team collaboration to ensure developers can build reliably and ship with confidence. About the Role We are looking for an engineer to help evolve OpenAI’s Consumer Products build and continuous integration systems for a fast-growing engineering organization. This role sits at the intersection of developer productivity, build systems, distributed infrastructure, software quality, and on-device software. You will work on the systems that determine how quickly and confident engineers can move: Bazel-bazed builds, Buildkite pipelines, test coverage, remote caching and execution, CI observability, and tooling that helps engineers understand and fix failures quickly. Our mission is to enable OpenAI to ship software running on consumer devices rapidly with a high bar for correctness, reliability, and safety. The best version of this work is invisible when it succeeds: builds are fast, tests are trusted, CI failures are understandable, and engineers can focus on shipping products instead of fighting infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In This Role, You Will Own and evolve Bazel and yocto-based build and test workflows in a polyrepo environment Design and maintain Starlark rules, macros, toolchains, and integrations that make builds hermetic, reproducible, and easy for teams to adopt Improve CI performance and reliability across Buildkite pipelines, including queue time, build time, cache hit rates, retry behavior, and flake isolation. Build systems that reduce unnecessary CI work through affected-target detection, dependency graph analysis, test selection, caching, batching, and smarter scheduling Unify local and CI development workflows so engineers can reproduce CI behavior, debug build failures, and iterate quickly without learning every detail of the build stack Operate and optimize build infrastructure across Docker/OCI images, Kubernetes-based runners, cloud resources, and remote cache/execution systems Instrument build and CI systems with metrics, logs, traces, dashboards, and analytics so we can measure speed, reliability, cost, and developer impact Partner directly with users to understand pain points, onboard projects, debug hard build issues, and remove systemic bottlenecks Use modern AI tools to pioneer novel CI failure analysis, flaky test debugging, PR triage, automated remediation, and developer-facing information Own the reliability of the systems you build, including participating in an on-call rotation for critical developer and factory infrastructure Technologies Commonly Used In This Environment Include Bazel and Starlark for build and test workflows Buildkite for CI orchestration Docker and OCI images for build and runtime packaging Kubernetes for CI runners and infrastructure orchestration Python, Go, TypeScript, Rust, C++, and other languages in a large monorepo Terraform for infrastructure as code Remote caching, remote execution, artifact storage, and build telemetry systems Minimum Qualifications: 5+ years of engineering experience, including significant experience building infrastructure and tooling for developers Hands-on experience with Bazel, Buck, Gradle, or similar build systems, and understand the trade offs of hermetic builds, dependency graphs, caching, sandboxing, and remote execution Have built CI systems at scale, especially in environments where build time, queue time, test flakiness, and developer trust materially affect engineering velocity You May Be A Strong Fit If You Are comfortable with owning production software and working in environments with strong SLA requirements Can debug distributed build and CI failures across source control, dependency management, containers, runners, remote caches, test frameworks, and service infrastructure. Care deeply about developer experience and have empty for the small sources of friction that slow teams down or create operational toil Are excited to apply AI to developer infrastructure in ways that increase team velocity without weakening quality, reliability, or safety Have operated in a polyrepo environment with source code from multiple parties 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.
About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About the Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In this role, you will: Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions of fairness, and clearly document the assumptions, limitations, and residual risks of each approach. Evaluate end-to-end human-AI decision systems, including model outputs, user behavior, human overrides, escalation pathways, and whether AI assistance changes the quality, consistency, or equity of decisions. Develop evaluation approaches for generative and agentic AI, including test-set design, counterfactual testing, behavioral evaluation, human-rating studies, robustness testing, and analysis of disparate performance across populations and contexts. Investigate the sources of observed disparities, including data representation, label and measurement bias, proxy variables, model design, decision thresholds, workflow design, and differential adoption or usage. Partner with engineering, People Operations, Legal, Privacy, Security, and People Systems teams to recommend and evaluate mitigations such as data improvements, model changes, threshold adjustments, workflow redesign, monitoring controls, and additional human oversight. Build scalable fairness-evaluation infrastructure, including reusable datasets, automated validation pipelines, regression tests, monitoring systems, self-service tools, and standardized reporting. Establish research and documentation standards for fairness test plans, dataset and model documentation, validation reports, limitations, monitoring plans, and decision records. Translate complex findings into concise, decision-ready narratives, helping leaders understand the significance of identified risks, the strength of the evidence, available mitigation options, and remaining uncertainty. You might thrive in this role if you have: Deep expertise in algorithmic fairness, bias measurement, responsible AI, psychometrics, applied statistics, or the evaluation of high-impact decision systems. Exceptional strength in research design, measurement, experimentation, causal inference, and statistical modeling. Hands-on experience applying methods such as subgroup and intersectional analysis, adverse-impact testing, equalized-odds and equal-opportunity analysis, demographic-parity assessment, calibration analysis, counterfactual testing, measurement invariance, reliability analysis, and validation studies. Strong judgment about the limitations of fairness metrics, including the ability to determine which measures are appropriate for a particular decision context rather than applying a single universal definition of fairness. Experience evaluating machine-learning models, generative AI systems, agents, or human-AI workflows using quantitative and qualitative evidence. High proficiency in Python or R and SQL, with experience working across complex, sensitive, and imperfect datasets. Experience building reproducible evaluation pipelines, automated testing frameworks, analytical tools, monitoring systems, or governed research workflows. Ability to distinguish statistical disparities from their potential causes and to communicate findings without overstating certainty or making unsupported causal or legal conclusions. Ability to work effectively with technical, operational, legal, privacy, and executive stakeholders and influence consequential decisions through evidence and sound judgment. Deep curiosity, intellectual humility, strong attention to detail, and a commitment to developing AI systems and organizational processes that work well for people across different backgrounds and circumstances. Preferred Qualifications Experience conducting fairness assessments, algorithmic audits, model-risk reviews, adverse-impact analyses, or validation studies in employment or another high-impact domain. Familiarity with fairness and model-evaluation tools such as Fairlearn, AI Fairness 360, responsible-AI evaluation frameworks, explainability methods, or comparable internal tooling. Experience evaluating large language models, generative AI systems, safety classifiers, or agentic workflows, including behavioral testing and human evaluation. Experience with employment selection, talent assessment, psychometrics, organizational research, or the validation of hiring, performance, promotion, or workforce decisions. Familiarity with responsible-AI frameworks and emerging requirements related to automated employment decision systems, algorithmic auditing, data privacy, and AI governance. Experience creating model cards, dataset documentation, fairness scorecards, audit reports, monitoring plans, or other review artifacts for high-impact systems. Advanced degree in Quantitative Psychology, Computer Science, Statistics, Economics, Data Science, Behavioral Science, or a related quantitative field; PhD preferred but not required. 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.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet. We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments. We're looking for experienced product managers and founders with real scientific or technical depth: people who can hold their own in a conversation with a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research. Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. Key responsibilities Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape Prototype ideas yourself with Claude to validate them before committing engineering time Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings Drive enterprise readiness — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it Minimum qualifications Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks Preferred qualifications 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms) Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations A track record of launching ambitious products that found distribution or commercial success Experience designing trusted-access or staged-rollout programs for sensitive capabilities A creative, hacker spirit and a love of solving hard puzzles The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. In This Role, You Will Build, manage, and develop a high-performing team of Applied AI Engineers supporting large and complex enterprise customers. Own the quality and impact of the team’s work across solution design, implementation, production readiness, adoption, and expansion. Coach the team through decisions involving architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost. Establish an operating model for prioritizing accounts and engagements according to customer needs, strategic value, technical complexity, and potential for repeatable impact. Serve as a senior technical escalation point during critical launches, production incidents, complex integrations, and high-stakes customer decisions. Partner with customer executives and technical leaders to connect implementation decisions to measurable business and operational outcomes. Help customers progress from experimentation to production systems and sustained adoption across their organizations. Partner closely with Sales and Solutions Engineering to create continuity throughout the customer lifecycle and maintain shared accountability for customer success. Translate customer needs and recurring implementation challenges into actionable feedback for Product, Research, Engineering, Security, and other internal teams. Identify scalable market patterns, distinguish them from bespoke requests, and advocate for investments that can benefit multiple customers. Develop reusable architectures, evaluation methods, playbooks, tooling, and enablement that improve time to value across the enterprise portfolio. Establish mechanisms for measuring production implementations, adoption, customer outcomes, delivery quality, team capacity, and the impact of reusable work. Hire thoughtfully, raise the technical and leadership bar, and foster a culture of accountability, curiosity, collaboration, inclusion, and continuous learning. Represent OpenAI with credibility and sound judgment in conversations with senior customer and internal stakeholders. You Might Thrive in This Role If You Have significant experience managing customer-facing technical teams, such as Applied AI Engineers, Solutions Architects, Forward Deployed Engineers, Customer Engineers, or Technical Account Managers. Have built or led teams responsible for implementing complex software, data, machine learning, or AI systems in enterprise environments. Maintain sufficient technical depth to evaluate architectures, ask incisive questions, challenge assumptions, and coach engineers through difficult implementation decisions. Have experience taking AI, machine learning, or other technically complex systems from prototype to production. Understand production-system requirements, including reliability, observability, security, privacy, data governance, evaluation, and operational readiness. Have led teams through ambiguity, competing priorities, escalations, and rapidly evolving products or markets. Can translate effectively among technical details, customer needs, product strategy, and business outcomes. Have worked with large organizations involving multiple business units, stakeholder groups, procurement processes, or governance requirements. Demonstrate strong executive presence and can build trust with engineering leaders, business executives, security teams, and other senior stakeholders. Have designed operating models, coverage strategies, prioritization frameworks, or repeatable delivery processes for a growing technical organization. Are a strong cross-functional partner who can navigate disagreement directly while maintaining trust and shared accountability. Use data and clear principles to allocate limited resources across a large portfolio of opportunities. Care deeply about developing people and have a track record of coaching team members, raising performance, and building inclusive teams. Are energized by helping organizations adopt frontier AI responsibly and turn emerging capabilities into durable value. Relevant Experience May Include Leading teams in applied AI engineering, solutions architecture, forward-deployed engineering, professional services, technical consulting, or customer engineering. Implementing generative AI, machine learning, developer platforms, cloud infrastructure, data platforms, or other complex enterprise technologies. Working with customers in semiconductors, media, entertainment, or similarly complex and technology-intensive industries. Supporting global customers, multi-business-unit implementations, regulated workflows, or large-scale organizational transformations. Building technical enablement, reusable solution patterns, evaluation frameworks, or customer implementation methodologies. Direct experience in these industries is not required. We value leaders who can recognize common technical and organizational patterns while adapting their approach to different customer environments. 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.
About the Team The Applied AI Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI. The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership. About the Role We are looking for an Applied AI Engineering Manager, Startups to lead and scale the Startups Applied AI Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI. This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams. In this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus. In this role, you will: Craft and continuously refine the strategic vision and operating model for the Startups Applied AI Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers. Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies. Help startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment. Partner closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth. Represent the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases. Translate recurring startup needs into repeatable playbooks, starter packs, reference architectures, internal tooling, and customer-facing assets that help the broader team move faster. Serve as a senior technical escalation point for priority startup customers, including founder-, CTO-, and technical executive-level conversations. Balance urgent customer needs with OpenAI’s broader product and platform priorities, especially when startups request niche features, bespoke support, or accelerated roadmap changes. Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership. Partner across Sales, Product, Engineering, Research, and other GTM teams to improve how OpenAI supports startups from early adoption through scaled production usage. You might thrive in this role if you: Have proven experience founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution. Have a strong track record of building and leading technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments. Bring strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations. Have experience creating scalable operating models, not just managing one-off customer escalations. Are comfortable working directly with founders, CTOs, technical executives, and highly technical ICs. Demonstrate strong judgment about when to go deep for a strategic customer versus when to build repeatable mechanisms for the broader segment. Can translate complex technical and product considerations into clear decisions, practical guidance, and customer-facing recommendations. Operate with speed, iteration, and pragmatic customer impact without sacrificing quality, safety, or OpenAI’s long-term platform strategy. Are personally committed to fostering the safe and beneficial development of AI. Success in this role may look like: Increased startup account usage, including tokens, requests, and production workloads. A strong cadence of successful customer sprints and production-oriented technical engagements. High-quality customer stories, founder and CTO satisfaction, and referenceable startup wins. Creation of repeatable startup deployment patterns, starter packs, templates, and reference architectures. Strong Product and Research feedback loops informed by startup customer needs and emerging use cases. A healthy, high-performing team with strong prioritization, clear operating mechanisms, and the ability to scale coverage across a high-demand segment. 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.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic's EMEA Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across the EMEA markets, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the EMEA landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. The Industries team operates as a specialized set of teams with dedicated Account Executives aligned to specific high-priority verticals including Financial Services, Healthcare and Life Sciences, and Education. As part of our broader Commercial Industries coverage, you'll focus on the diverse range of enterprise verticals beyond these core specializations - including Media, Energy, Manufacturing, Technology, Retail, and other major industry sectors that represent significant growth opportunities for AI adoption. This is a highly consultative sales role as you will be cross-selling with our existing team of Account Executives, determining pricing strategy, and influencing the product roadmap based upon customer feedback. You will help define our solution-led selling approach, positioning us as strategic advisors, and provide a continuous feedback loop for internal teams to iterate on. You should be passionate about developing industry expertise, collaborating cross-functionally, and executing on our approach to the market. By driving expansion within key accounts and acquiring new logos in strategic verticals, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals Break into new accounts and cross-sell into existing business alongside our team of Account Executives Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options Prioritize organizations that can serve as lighthouse customers and references within their industries Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: 8+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Landing team sales experience A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: £280,000 — £330,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.