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About the team The Partnerships team supports OpenAI’s mission by building and managing external relationships that expand product reach, accelerate adoption, strengthen strategic capabilities, and help the company scale responsibly. We partner across the organization to develop a go to market ecosystem strategy, create shared value, and support relationships that are critical to OpenAI’s growth. About the role We’re looking for a Partnerships Sales Manager to lead high-impact co-sell relationships across our go to market sales teams and our system integrators and solution partners. You’ll manage a portfolio of strategic external partners—including technology platforms, distribution channels, service providers, and other ecosystem partners—and work closely with internal sales teams to turn business needs into effective partnership strategies in order to deliver customer value and outcomes. This role combines relationship management, commercial judgment, and hands-on execution. You’ll help evaluate new partners, negotiate agreements, improve existing programs, and create the operating mechanisms needed to manage partnerships at scale. This role is based in New York in office 3 days a week. In this role, you will Own and deepen relationships with key strategic and ecosystem partners. Drive a partner first strategy across your assigned field territory alongside GTM teams Develop partnership strategies aligned with OpenAI’s product, go-to-market, and operational priorities. Source, evaluate, and onboard new partners and service providers. Lead commercial negotiations in partnership with Legal, Business Operations, Procurement, Security, and other stakeholders. Translate complex business requirements into clear partner selection criteria and operating plans. Establish performance metrics, governance processes, and regular business reviews for strategic relationships. Identify opportunities to improve economics, service quality, resilience, and scalability across the partner portfolio. Coordinate cross-functional initiatives involving Sales, Product, Engineering, Legal, Security, Marketing, Business Operations, and other partner-facing teams. Monitor market developments, ecosystem shifts, and emerging capabilities across relevant partner categories. Prepare recommendations and decision materials for senior leaders. Anticipate partnership risks and lead their resolution with internal and external stakeholders. You might thrive in this role if you Have 7+ years of experience in strategic partnerships, business development, ecosystem development, platform partnerships, go-to-market alliances, or a related field. Have direct sales and/or sales overlay experience. Have managed complex relationships with technology platforms, distribution partners, service providers, infrastructure companies, or other critical strategic partners. Are an effective negotiator with strong commercial instincts and experience structuring sophisticated agreements. Can analyze commercial and operational data and turn it into clear recommendations. Work well across technical, commercial, legal, go-to-market, and operational teams. Are comfortable navigating ambiguity, setting priorities, and building new processes in a fast-moving environment. Communicate clearly with executives, partners, and subject-matter experts. Pair strategic thinking with a willingness to own detailed execution. Exercise excellent judgment when working with confidential or sensitive information. Preferred qualifications Experience supporting a rapidly scaling global technology company. Familiarity with technology ecosystems, platform and infrastructure business models, distribution channels, go-to-market partnerships, or partner risk management. Experience developing partner scorecards, governance frameworks, and executive business reviews. Background working in a regulated or operationally complex environment. 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. Our Executive Engagement programs bring OpenAI’s products, research, and perspective into the room with senior leaders as they consider how intelligence can be put to work against their most important priorities. These engagements are more than briefings or events. At their best, they help a leadership team understand what is changing, distinguish what is possible now from what is still emerging, and leave with greater clarity about what to do next. About the Role We are looking for a senior product marketer to shape how OpenAI’s products, research, and point of view come together in our most important executive customer conversations. You will shape the product-marketing strategy and narrative for these engagements, bringing together customer priorities, product truth, market context, and evidence to clarify what matters and help senior leaders understand what AI makes possible for their organizations. You will personally shape our highest-priority engagements while building narrative frameworks, proof, and resources that raise the quality of executive conversations across the enterprise business. This is a senior, hands-on individual-contributor role for an exceptional enterprise product marketer who wants their judgment and craft to remain close to the work. You will partner closely with Product Marketing, Sales, Product, Research, Solutions, and OpenAI executives. You will help determine not only how we communicate our work, but which ideas matter, what evidence makes them credible, and how customer insight should improve what we do next. 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 customer-facing nature of the role, regular in-person participation in executive briefings and related preparation is expected and may require additional time onsite. In this role, you will: Shape the product-marketing strategy, point of view, and narrative for OpenAI’s highest-priority executive customer conversations. Turn evolving product capabilities, research, market dynamics, and customer evidence into original enterprise perspectives grounded in what is true and useful now. Partner with Sales and customer-facing teams to connect each engagement to a meaningful customer priority, decision, or next step. Shape content architecture, claims, proof, speaker strategy, and executive preparation for priority engagements. Exercise strong judgment about what to include, what to leave out, and how to represent OpenAI’s capabilities and limitations precisely. Build reusable narrative frameworks, proof, and speaker resources that raise the quality of executive conversations at scale without making them generic. Translate recurring executive questions and customer evidence into stronger positioning, enablement, product feedback, and future engagement strategy. Establish strong working relationships across Product Marketing, Product, Research, Sales, Solutions, executive programs, and production to bring the strategy to life at a consistently high bar. You might thrive in this role if you: Have 10+ years of experience in enterprise product marketing, solutions marketing, strategic go-to-market, or a closely related discipline. Have personally owned positioning and messaging for complex technical products or platforms. Have developed original points of view—not simply adapted existing materials—and know how to ground them in product truth and customer evidence. Have shaped high-stakes C-suite conversations around consequential customer decisions and can operate credibly in the room. Are an exceptional writer and editor who can identify the most important idea, make hard choices, and turn complexity into a clear and compelling argument. Bring the technical judgment to engage credibly with Product and Research, interrogate claims and proof, and communicate both capabilities and limitations accurately. Understand enterprise buying and can connect an executive engagement to adoption, relationship, and commercial outcomes. Can lead across senior stakeholders and create clarity without relying on formal authority. Are deliberately choosing a senior individual-contributor path because you want to remain personally accountable for 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.
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 Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non-technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast-paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Background working with research teams at AI companies or research-oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale 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 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About the Team The Enablement Lead (EL) team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the EL team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The Enablement Lead, Builder role (AI Deployment Manager) is a specialist post-sales technical enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. You will design and deliver technical learning experiences covering OpenAI APIs, Codex, agents, evaluations, and related platform capabilities. You will work with engineers, AI and platform teams, administrators, security stakeholders, product leaders, and executive sponsors. This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts. Success in this role means accelerating customer confidence, increasing product adoption, helping customers progress toward production use, and turning lessons from individual engagements into resources and practices that benefit many customers. This role is based in our San Francisco HQ. 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: Own the technical enablement of OpenAI products, including OpenAI APIs, Codex, Agents, Evaluations and other platform capabilities, helping define effective enablement patterns that support adoption across customer segments Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption. Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams. Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale Partner closely with Sales, Solutions Architecture, and Product teams to define an effective enablement plan tailored to each customer’s use case, goals, and technical needs. Partner closely with Sales, Solution Architects, Delivery Leads to drive adoption across our core product suite. Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions. Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements. Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. You’ll thrive in this role if you: Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments. Possess exceptional presentation and communication skills, particularly when conveying the value of technical concepts clearly to senior and executive-level audiences. Strong technical depth across software engineering, the software development lifecycle, and APIs, with a practical understanding of how AI systems are built, evaluated, and operated in production, including RAG, evaluation strategies, agentic systems and key tradeoffs. Proven experience leading structured technical trainings, such as API bootcamps, workshops, or enablement sessions, with the ability to design learning journeys, handle live questions, and reason through problems in real time. Strong ability to connect technical features and capabilities to concrete business outcomes such as productivity, efficiency, cost reduction, risk mitigation, or revenue impact. Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. Comfortable thinking on their feet in live customer settings, adapting quickly to new information, shifting priorities, and real-time questions while maintaining clarity, ownership, and momentum. Are personally committed to fostering the safe and ethical evolution of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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 mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it demands deep, ongoing engagement with the policymakers, communities, institutions, and partners shaping the future of AI. The Global Affairs team leads this engagement. We cultivate authentic, collaborative relationships with public officials, regulators, civil society, community stakeholders, and the broader AI policymaking community to ensure diverse perspectives inform our work. By bringing external insights into OpenAI and sharing our learnings transparently, we help advance thoughtful regulation, responsible industry standards, and governance frameworks that promote the safe and beneficial development of AI technologies. In close partnership with our research, product, and policy colleagues, the LATAM Public Policy team leads our Global Affairs engagement across all of Latin America — working across countries to anticipate emerging issues, craft forward-looking strategies, and champion policies that align technological progress with human values. Our mission is to help shape the global conversation on AI and ensure that the benefits of this transformative technology reach people everywhere. Examples of priority markets in the region include Brazil, Argentina, Colombia and Chile. About the Role OpenAI is seeking a strategic, entrepreneurial, and highly capable leader to serve as our South America Lead. In this role, you will build and execute OpenAI’s public policy and strategic engagement efforts across South America—during a period of exceptional momentum for AI governance, innovation, and infrastructure development. Reporting to the Head of LatAm Public Policy, you will lead OpenAI’s work with the governments in South America, regulators, academic institutions, industry partners, civil society, and the broader South American innovation ecosystem. You will anticipate and shape political, policy and regulatory trends, support public-sector and enterprise adoption of AI technologies, and identify opportunities for strategic partnerships across the region. This role will involve: Strategy & leadership: Develop and implement OpenAI’s Public Policy strategy in South America, aligning global priorities with political, policy, and partnership opportunities at the regional level. Stakeholder & political engagement: Cultivate direct relationships with federal, state and city-level policymakers, regulators, ministerial officials, and civil society leaders. Anticipate and shape legislative, regulatory, and political developments related to AI and any other matters relevant to OpenAI such as innovation, safety, infrastructure, and economic development. Partnerships & ecosystem building: Identify and develop partnerships across finance, academia, agriculture, industry and the health sector to enable responsible AI deployment. Support enterprise and public-sector adoption of AI tools, collaborating closely with OpenAI’s commercial and technical teams. Implementation & execution: Translate strategy into implementation plans with clear timelines, partner engagement plans, goals, and deliverables. Produce insights, memos, activity updates, and recommendations for internal and executive audiences. Organize and lead meetings, events, roundtables, and official engagements across Brazil, Argentina, Colombia, Chile, and other countries. Cross-functional collaboration: Work closely with research, engineering, product, legal, communications, and partnerships teams to align policy strategies with technical roadmaps and company priorities. Ensure South American perspectives inform OpenAI’s global work on safety, governance, and deployment. You’ll thrive in this role if you: Are a seasoned operator at the intersection of public policy, technology, and government relations, comfortable navigating complex, rapidly evolving environments. Are a relationship-builder who earns trust with senior leaders in government, academia, and industry. Enjoy working in a high-energy, start-up-style environment and are willing to roll up your sleeves—operating with humility, good judgment, and optimism. Thrive both independently and as part of a collaborative, high-performing, peer-led team. Are a compelling communicator who can translate complex technical and policy concepts into clear, persuasive narratives for diverse audiences. Are energized by cross-functional work and can bring technical, legal, commercial, and operational teams together around shared goals. We’re looking for a blend of: 15+ years of experience in public policy, government relations, technology policy, economic development, or a related field. Demonstrated success engaging federal governments across multiple jurisdictions. Proven ability to shape legislation or regulation, lead high-stakes policy campaigns, or build strategic partnerships across public and private sectors. Experience advising senior executives on political, regulatory, and public-affairs risks and opportunities. Deep knowledge of South America’s political, regulatory, and economic ecosystem—including AI-related issues such as copyright, safety, privacy, innovation, competition, and infrastructure. Outstanding communication, negotiation, and interpersonal skills with a track record of influencing senior stakeholders. Experience working cross-functionally across legal, research, communications, commercial, and policy teams. Strong strategic judgment, integrity, situational awareness, and political instincts. 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: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption. Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale. Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation. Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value. Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback. Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path. Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements. Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value. Skills You'll Need to Bring: 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively. Strong experience delivering implementations that drive adoption, change management and long-term customer value. Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. Nice to Haves: Experience designing or deploying Agents, automations or AI-powered workflows with Customers. Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up. Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements. Previous experience in a fast-paced, high-growth technology environment. 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 range for total on target earnings (including base salary and on target incentive pay) for this role is $165,000 - $205,000 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 State and Local Government Sales at Anthropic, you'll lead and scale our state and local government sales organization to drive the adoption of safe, frontier AI across state agencies, counties, cities, and other local government entities throughout the United States. You'll leverage your deep understanding of state and local government operations and proven sales leadership expertise to build a high-performing team while establishing strategic relationships with key states, municipalities, and public sector partners. Working closely with GTM, product, and marketing teams, you'll define and execute our go-to-market strategy for the state and local government sector while maintaining the highest standards of security and compliance. Key responsibilities Build, lead, and scale a state and local government sales team, including hiring top talent, setting clear performance expectations, and providing ongoing coaching and development Develop and execute comprehensive go-to-market strategies for state and local government, including territory design, market segmentation, competitive positioning, and revenue forecasting across a large and geographically distributed customer base Own overall state and local government revenue targets and ensure team performance against quotas, while providing visibility into pipeline health and deal progression Establish and cultivate relationships with governors' offices, state CIOs, agency executives, and city and county leadership, serving as Anthropic's senior point of contact for strategic engagement while empowering your team to own day-to-day customer relationships Win new business across state and local government by helping state agencies, counties, and cities integrate AI into their technology stacks and constituent-facing and back-office workflows to accelerate delivery and improve service outcomes Establish and refine sales processes, methodologies, and playbooks specific to state and local procurement, including cooperative purchasing agreements, statewide contracts, RFP/RFI processes, and state-specific compliance requirements Build and manage strategic relationships with cloud service providers, system integrators, and resellers to create scalable go-to-market motions across the state and local market Synthesize market feedback and customer insights to inform product roadmap and competitive strategy, working closely with product and marketing teams Partner with legal, compliance, and delivery teams to ensure successful contract execution and customer satisfaction 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 state and local government Minimum qualifications 15+ years of enterprise sales experience with 5+ years managing state and local government sales teams, with a proven track record of scaling revenue and building high-performing organizations Deep understanding of state and local government missions, budget and legislative cycles, modernization initiatives, and technology adoption patterns across multiple states and municipalities 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 state and local government space Extensive experience with state and local contracting vehicles, cooperative purchasing agreements, procurement mechanisms, and compliance requirements such as StateRAMP, CJIS, and state-specific data privacy standards Strong track record of consistently exceeding team revenue targets and building predictable, scalable sales motions across a high-volume, distributed territory Proven ability to build and manage strategic channel partnerships and ecosystem relationships, including cloud providers, system integrators, and resellers Excellent communication and relationship-building skills across all levels, from technical teams to state CIOs, agency executives, and elected and appointed officials 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 government contexts and build trust with state and local 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 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 billing surface is growing fast. New products, new regions, and new channels all need to be metered, priced, invoiced, and reconciled, and the work to make that happen crosses billing engineering, GTM systems, finance, and support teams. Today much of it runs on escalations rather than programs. We're hiring a Technical Program Manager to own the cross-functional programs in this space. You'll partner closely with billing engineering, GTM systems, finance and treasury, product, and support, and give leadership a single clear view of priorities, dependencies, and progress. Responsibilities Drive the cross-team programs that build billing platform foundations, from scoping and tradeoff decisions through delivery Standardize how new commercial work enters billing: a framework driven intake, clear owners, and sequenced dependencies across billing teams and their stakeholders Own the promotions program end to end: one repeatable path from proposal to configuration to reconciliation, for both self-serve and sales-led programs Own commercialization and launch readiness for billing: no new product or SKU launches without pricing, metering, invoicing, and reporting in place Own the change process for the charge pipeline Run payments operations programs in partnership with finance and treasury, including currency and FX You may be a good fit if you Have 6+ years of technical program management experience, with a track record of owning cross-functional programs end to end Can reason about metering, invoicing, and payment flows, and the data pipelines behind them Have run launch readiness programs where a new product needed its commercial and billing path in place before it shipped Can build trust with engineers, finance and treasury partners, GTM systems, product, and support teams, and translate between them Are comfortable driving outcomes across teams that don't report to you Would rather build a repeatable process than keep fixing the same problem by hand Strong candidates may also have Experience with promotions or credit programs or enterprise billing platforms Familiarity with FX, treasury, month end close, or reconciliation Background in payments operations, billing platform, or quote-to-cash product management Familiarity with chargeback and refund operations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a creative and driven Commercial Account Executive to help grow our customer base of developer-first startups. This role is perfect for someone who thrives in startup environments, enjoys navigating technical sales cycles, and wants to work closely with founders and builders using open source tools. You’ll manage full-cycle sales, partner cross-functionally to ensure smooth onboarding, and help define what modern sales looks like at Supabase. You Will: Own the full sales cycle from lead to close Run technical discovery and align on business outcomes Partner with Sales Engineers and Product to demo capabilities Educate customers on how Supabase fits into their stack Build pipeline and consistently hit revenue targets We’re Looking For: 2-5 years experience in a similar technical sales role Strong understanding of developer workflows or infrastructure products Ability to run a creative, value-driven sales process Comfortable talking to founders, engineers, and technical buyers Self-starter who thrives in fast-paced, ambiguous environments What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
About the Team The Employee Technology & Experience (ETX) team is responsible for delivering a world-class internal technology experience that enables employees to do their best work. We support and operate the employee-facing systems that keep the company moving quickly and efficiently. ETX spans support, logistics, AV, identity, endpoints, SaaS administration, automation, enterprise tooling, and internal infrastructure operations. We partner closely with Security, Engineering, Workplace, Finance, People, and other teams to keep OpenAI’s internal technology reliable, scalable, and moving at the pace of the company. About the Role We are hiring a Program Manager to help scale how IT operates across OpenAI. This role will lead complex cross-functional programs that improve operational maturity, streamline how teams work together, and turn high-impact initiatives into durable operational capabilities. You will work across IT, Security, Engineering, Workplace, and other functions to drive alignment, remove friction, and help build the operational foundation needed to support OpenAI’s rapid growth. You’ll be responsible for: Lead cross-functional operational programs that improve scalability, consistency, and operational maturity. Drive operational excellence initiatives across IT Support, employee lifecycle operations, meeting room and calendaring services, onsite support, vending, and research support environments. Build operating models, readiness plans, escalation paths, governance cadences, and success metrics for complex operational programs. Partner with technical teams to ensure new deployments, infrastructure investments, and internal platforms are operationally ready and sustainably supported at scale. Drive high-priority operational programs supporting company growth, including infrastructure expansion, operational integrations, and other emerging initiatives. Improve operational visibility, stakeholder alignment, and coordination across long-running cross-functional initiatives. Create clarity across complex operational programs by establishing clear ownership, execution plans, operational accountability, and durable follow-through. Own intake, prioritization, coordination, and completion of operational work originating from cross-functional teams and stakeholders. We’re looking for someone with: 10+ years of program management experience leading complex cross-functional initiatives in high-growth, fast-moving environments. Experience building and scaling operational processes, service models, and operating frameworks across technical and operational teams. A strong track record improving internal operations, workplace technology, support environments, or other large-scale service-oriented programs. Excellent judgment and execution skills, with the ability to drive prioritization, alignment, and sustained momentum across multiple teams and competing demands. Strong communication and stakeholder management skills, with the ability to operate effectively with both technical and non-technical partners. 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 turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and technical patterns and insights that can be applied across the broader Digital Natives segment. This role is open in our San Francisco office. 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 Own the strategy and operating model for the Digital Natives Applied AI Engineering team, ensuring alignment with OpenAI’s objectives and the evolving needs of technology and software customers. Lead, hire, mentor, and develop a team of high-performing Applied AI Engineers responsible for delivering meaningful technical and customer outcomes. Guide the team in working hands-on with customers to identify high-impact use cases, design and build AI applications, solve technical challenges, and scale successful solutions into production. Partner closely with Sales to prioritize technical engagement across strategic customers and identify where Applied AI Engineering can unlock adoption, usage, and long-term customer growth. Serve as a senior technical partner and escalation point for priority customers, building trusted relationships with engineering leaders, CTOs, and other executive stakeholders. Represent the technical voice of Digital Native customers by synthesizing insights around model performance, developer experience, product gaps, emerging use cases, and technical blockers for Product, Engineering, and Research. Translate recurring customer needs and successful implementations into repeatable technical patterns, reference architectures, playbooks, tooling, and best practices that allow the team to scale its impact. Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership. Help customers understand and apply OpenAI’s newest capabilities, identifying opportunities to build differentiated products and experiences with frontier models. Champion the safe, reliable, and effective application of OpenAI’s technology across the Digital Natives ecosystem. You’ll Thrive in This Role If You Have 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, technical consulting, or similar roles. Have 2+ years of experience leading technical teams, with a demonstrated ability to hire, develop, mentor, and manage high-performing engineers. Have experience building or deploying generative AI, machine learning, developer platforms, or cloud-based software solutions in production environments. Bring strong technical depth across APIs, AI/ML systems, application architecture, cloud infrastructure, and modern developer workflows. Have hands-on software engineering experience and fluency with programming languages such as Python or JavaScript. Are comfortable working directly with highly technical engineering and product teams as well as CTOs and other executive stakeholders. Can translate ambiguous customer and business problems into clear technical approaches and guide teams from exploration through implementation and production. Demonstrate strong judgment about when to invest deeply in an individual customer challenge versus when to develop a repeatable solution for the broader segment. Are an effective communicator who can translate complex technical and business topics across audiences and coach others to do the same. Thrive in ambiguous, fast-moving environments and are energized by working with customers at the forefront of AI adoption. Demonstrate strong ownership, humility, curiosity, and a commitment to helping both customers and teammates succeed. Are personally committed to fostering the safe and beneficial development of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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 is seeking a Corporate Development Integration Lead to own the critical post-signing phase of our M&A activity — from confirmatory diligence through integration planning to full operational follow-through. As Anthropic's corporate development function matures and transaction volume increases, this role will serve as the connective tissue between deal teams, product and engineering organizations, and the acquired teams themselves, ensuring that acquisitions deliver on their strategic thesis. This is a high-visibility, cross-functional role that sits at the intersection of M&A execution and operational excellence. You will define and scale the integration playbook, build repeatable processes for technical and organizational integration, and work directly with executive leadership to ensure each deal realizes its intended value. The ideal candidate has deep prior integration experience at high-growth technology companies and brings a structured, hands-on approach to navigating the complexity that arises after a deal signs. You are energized by turning strategic intent into operational reality. You thrive working across organizational boundaries, are comfortable operating in ambiguous and fast-moving environments, and understand that integration is where M&A value is ultimately created or destroyed. Join us in building the infrastructure that ensures Anthropic's acquisitions create lasting value — both for the mission of safe AI and for the brilliant teams we bring into the organization. This role offers a rare opportunity to shape how one of the most consequential companies in AI executes and integrates its growth strategy. Key responsibilities Lead confirmatory diligence workstreams post-LOI, coordinating with legal, finance, product, engineering, and research teams to validate the strategic and technical thesis before deal close Develop and maintain due diligence frameworks tailored to Anthropic's acquisition types (acquihires, technology acquisitions, transformational deals), ensuring consistent and thorough assessment of technical assets, talent quality, IP, and organizational fit Own the integration readiness assessment — identify risks, flag cultural or operational gaps, and provide go/no-go input to deal sponsors before signing Coordinate technical deep dives with engineering and research leadership to validate product-market fit, code quality, and team capabilities Design and own end-to-end integration plans for each transaction, covering organizational structure, reporting lines, tooling migration, product roadmap alignment, and day-one operational continuity Build and maintain a scalable integration playbook, establishing best practices, templates, and decision frameworks that can be reused across future deals Develop integration timelines and milestones in close coordination with product, engineering, HR, IT, and legal to ensure cross-functional alignment before and at close Facilitate introductions and relationship-building between acquired teams and internal stakeholders during the planning phase to accelerate ramp and reduce post-close friction Model financial and operational scenarios to stress-test integration assumptions and identify contingency plans Drive day-one and day-100 integration execution, tracking milestones against plan and escalating blockers to deal sponsors and executive leadership in real time Serve as the primary point of contact for acquired teams during the transition period, ensuring they have the information, access, and organizational support needed to be productive and retained Partner with HR and people managers to design onboarding and retention plans for key talent, with particular focus on acquired engineering, research, and product leaders Conduct post-integration retrospectives to capture lessons learned, measure outcomes against the original deal thesis, and feed insights back into future integration planning Build and report integration KPIs to leadership, including retention rates, product milestone achievement, and operational readiness benchmarks Minimum qualifications Possess strong technical fluency — either through prior software engineering or product experience, or deep familiarity with evaluating technical organizations and codebases Are skilled at building cross-functional relationships and can effectively coordinate across product, engineering, legal, HR, and finance teams Excel at translating strategic objectives into actionable operational plans with clear timelines, owners, and accountability Thrive in fast-paced, ambiguous environments and can maintain both urgency and precision when managing multiple parallel workstreams Have strong written and verbal communication skills, with the ability to present integration status and recommendations clearly to executive leadership Are genuinely excited about AI safety and aligned with Anthropic's mission to build reliable, interpretable, and steerable AI systems Preferred qualifications Have 10+ years of corporate development or M&A integration experience, with a demonstrated track record of leading post-acquisition integrations at high-growth technology companies Have direct experience in AI/ML companies or deep learning research environments, with an understanding of the unique talent dynamics in frontier AI Have built or significantly contributed to a corporate development integration function, including the creation of playbooks, frameworks, and repeatable processes Bring experience with acquihire integrations, including deep familiarity with technical talent retention and the unique challenges of integrating small, high-output engineering teams Have an MBA or advanced technical degree (Computer Science or equivalent) Demonstrate experience managing stakeholder expectations across multiple simultaneous integrations with competing timelines Possess experience with international or cross-border transaction integration, including navigating differing cultural norms and regulatory requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.