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About the team OpenAI’s mission is to ensure artificial general intelligence (AGI) benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one organization. In pursuit of this mission, our Go-To-Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team includes Sales, Solutions, Support, Marketing, and Partnerships professionals who work together to create valuable solutions that help bring AI to as many users as possible. About the role OpenAI is seeking a highly motivated and experienced Account Director to join our Startup Go-To-Market team. You will play a critical role in owning relationships with top startup customers and supporting them in successfully building on the OpenAI platform. Many of the most disruptive and category-defining AI applications are being created by startups. The Startup Go-To-Market team's mission is to help startups harness the power of OpenAI’s technology to drive these advances. You will support startups in building effectively with OpenAI’s APIs, SDKs, and applications while providing access to OpenAI’s technical expertise and networks to help accelerate their progress. This role is a mixture of technical understanding, vision, partnership, and strategy. You’ll be responsible for serving as the primary relationship owner for a range of strategically important startup customers. You’ll also work cross-functionally with product, research, engineering, support, and technical solutions teams to help customers get the most out of our models. This role will be based in Tokyo . In this role, you'll: Manage a portfolio of startup accounts, developing and executing strategies for comprehensive account management. Partner with AI Deployment Engineers to drive successful technical engagements with startups. Own consumption and contracted revenue targets while managing revenue forecasts. Analyze key account metrics to create reports and provide insights to internal and external stakeholders. Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering teams. Serve as an advocate for improving the startup experience of building with OpenAI, synthesizing product feedback from insights gathered through our work with startups. Closely monitor the industry and startup landscapes and contribute to corporate strategy . Support the recruitment and onboarding of teammates. Support the development of company culture. We're seeking someone with experience including: 7–12 years of experience selling platform-as-a-service (PaaS), cloud, or other API products. Experience working in or around the startup ecosystem, preferably as a startup founder, startup employee, or someone who has worked closely with startup customers. Supporting the growth and product development of fast-growing, high-performing companies. Working directly with C-level executives and startup founders. Communicating technical concepts to customers and internal stakeholders. Gathering, distilling, and processing complex market intelligence across industries, competitors, customers, and prospects. You might thrive in this role if you: Are customer-centric. You are motivated to deeply understand your customers’ priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. Have a passion for or deep curiosity about artificial intelligence. You embrace the opportunity to help deploy our technology in ways that benefit humanity. You’re excited to educate customers on AI and help them plan for the future. Are a builder. You are excited to influence how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them energizes you. You enjoy tackling bespoke issues that require multidimensional thinking and are willing to experiment with new solutions. Are a strategist. You deeply understand go-to-market best practices and continually raise the bar for our organization. You think and plan years ahead and bring internal and external stakeholders along with your strategy. 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, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Infrastructure Quality team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, general contractors, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. Our work spans from vendor qualification through commissioning, ensuring operational readiness across our global portfolio. About the Role We are seeking an experienced Manufacturing Quality Engineer (MQE) to establish, implement, and manage a manufacturing-focused quality program for datacenter infrastructure. This role will be responsible for vendor oversight, quality assurance, process improvement, and issue resolution for all critical systems. You will lead vendor audits, monitor performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced risks, and operational reliability. By partnering with vendors, construction teams, and internal stakeholders, you will help ensure OpenAI’s datacenters are delivered on time and built to the highest operational standards. Travel Domestic and international travel as needed (estimated 40–60%) to manufacturing sites, datacenter locations, and partner facilities. Key Responsibilities Vendor Oversight & Performance Management Conduct manufacturing evaluation, audits, and improve vendor performance across production, inspection, testing, and delivery phases. Develop and track quality metrics to assess manufacturing performance and identify trends. Partner with vendors to refine processes, training, and quality controls to mitigate risks before shipment. Program Development & Execution Develop and maintain a datacenter-focused manufacturing quality program that supports global deployment schedules. Integrate manufacturing quality requirements into sourcing, design, and construction processes. Establish effective cross-functional communication between manufacturing sites, construction teams, and operations. Quality Leadership & Collaboration Provide guidance to vendor and contractor quality teams, ensuring adherence to OpenAI’s standards and specifications. Collaborate with engineering, sourcing, construction, and operations to align quality processes with project goals. Mentor vendor teams and provide structured feedback to drive continuous improvement. Issue Resolution & Continuous Improvement Audit quality activities at vendor and project sites to verify compliance with requirements. Lead corrective and preventive action plans for audit findings and quality nonconformances. Facilitate root cause analysis for recurring manufacturing issues and drive systemic process improvements. Schedule & Documentation Management Monitor manufacturing schedules to ensure on-time delivery to datacenter sites. Ensure testing and inspection documentation is complete, accurate, and aligned with project milestones. Participate in project quality, commissioning, and operational readiness meetings. Qualifications 10+ years in manufacturing quality management, supplier quality engineering, process improvement, or datacenter engineering/operations. Bachelor’s degree in engineering, manufacturing, construction management, or related field (or equivalent work experience). Demonstrated ability to analyze data, solve problems, and improve manufacturing processes. Proven track record managing deliverables for complex projects or supplier programs. Strong communication skills with experience influencing both technical and executive audiences. Preferred Skills Technical knowledge of datacenter infrastructure systems, including mechanical, electrical, and controls components. Experience in supplier performance management for mission-critical facilities. ASQ Certified Quality Engineer, Quality Manager, or Quality Auditor. PMP or equivalent project management certification. Experience in industrial or high-volume manufacturing 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 Industrial Compute is building the world's most advanced AI infrastructure. Working alongside our capital partners, engineering teams, and construction organizations, we design and deliver large-scale, mission-critical compute campuses that power the next generation of AI. Our Design organization brings together engineering, construction, and digital design to ensure facilities are coordinated, constructible, and optimized from the earliest planning phases through deployment. About the Role We are seeking a BIM Designer & Coordinator to support the planning and design of large-scale industrial and mission-critical facilities. In this role, you will develop, coordinate, and maintain multidisciplinary BIM models across Civil, Electrical, Mechanical, Architectural, and Structural disciplines, enabling early design validation, constructability reviews, equipment planning, and cross-functional coordination. You will partner closely with internal engineering teams, external design consultants, contractors, and project stakeholders to produce coordinated BIM deliverables that improve design quality, reduce project risk, and support efficient execution across Industrial Compute's global infrastructure portfolio. Key Responsibilities: Develop and maintain conceptual and schematic BIM models for large-scale industrial and MEP-intensive facilities. Coordinate BIM models across Civil, Electrical, Mechanical, Architectural, and Structural disciplines. Create and maintain federated models used for design reviews, spatial coordination, constructability analysis, and clash detection. Model major building systems including equipment layouts, utility corridors, electrical rooms, mechanical rooms, structural framing, site infrastructure, and architectural constraints. Coordinate equipment clearances, maintenance access, routing zones, shafts, risers, utility entrances, and major MEP pathways. Translate engineering sketches, basis-of-design documents, equipment lists, one-line diagrams, and planning documentation into coordinated BIM models. Support early design activities including test-fit studies, routing evaluations, phasing plans, utility coordination, and design option analysis. Maintain BIM standards including model organization, file naming conventions, worksets, shared coordinates, view templates, and model health. Support multidisciplinary coordination using Navisworks, Autodesk Construction Cloud, BIM 360, Revizto, or similar collaboration platforms. Prepare model views, coordination packages, exports, and documentation for design reviews and stakeholder meetings. Support model-based quantity takeoffs, equipment tracking, asset information, room data, and design progress reporting. Review consultant and contractor BIM deliverables for quality, coordination, completeness, and compliance with project BIM standards. Help maintain digital design assets that support planning, design development, construction coordination, and operational handoff. Discipline Focus Areas Civil BIM Designer Develop site models including grading concepts, access roads, utility corridors, stormwater systems, underground duct banks, and civil infrastructure. Coordinate civil infrastructure with building footprints, substations, generators, cooling equipment, underground utilities, and site constraints. Experience with Civil 3D, ArcGIS, Revit Site, and utility modeling is preferred. Electrical BIM Designer Develop conceptual and schematic models for substations, switchgear, transformers, generators, UPS systems, cable tray, busway, duct banks, grounding systems, and major power distribution infrastructure. Coordinate electrical equipment clearances, cable routing, service entrances, and access requirements with architectural, structural, mechanical, and civil disciplines. Experience with Revit Electrical, AutoCAD, Navisworks, and interpreting one-line diagrams is preferred. Mechanical BIM Designer Develop models for mechanical equipment, chilled water systems, hydronic piping, airside systems, ductwork, pumps, chillers, CRAH/CRAC units, heat exchangers, tanks, and central utility plants. Coordinate mechanical routing, maintenance access, pipe racks, structural supports, overhead zones, and major penetrations. Experience with Revit Mechanical, Navisworks, and industrial piping and duct coordination is preferred. Architectural / Structural BIM Designer Develop architectural and structural models including building shells, floor plans, slabs, structural steel, foundations, equipment pads, platforms, stairs, and access areas. Coordinate architectural and structural constraints with MEP systems, utility entrances, equipment placement, and code-required clearances. Experience with Revit Architecture, Revit Structure, AutoCAD, and Navisworks is preferred. Qualifications Bachelor's degree or equivalent experience in Architecture, Engineering, Construction Management, Civil Engineering, Electrical Engineering, Mechanical Engineering, Structural Engineering, or a related technical field. 3+ years of BIM modeling, BIM coordination, drafting, or design technology experience. Experience developing 3D models using Revit, AutoCAD, Civil 3D, Navisworks, Inventor, SolidWorks, or comparable BIM/CAD platforms. Experience supporting multidisciplinary coordination for complex industrial, infrastructure, or building projects. Ability to read and interpret engineering drawings, equipment layouts, design narratives, diagrams, and consultant deliverables. Strong understanding of BIM standards, model organization, file management, and coordination workflows. Preferred Skills Experience supporting large-scale industrial, data center, manufacturing, utility, or other mission-critical infrastructure projects. Experience developing conceptual and schematic design models in addition to construction documentation. Strong understanding of multidisciplinary MEP coordination, equipment clearances, routing zones, and constructability considerations. Experience with Autodesk Construction Cloud, BIM 360, Navisworks, Revizto, Bluebeam, Civil 3D, ArcGIS, Dynamo, Python, or Autodesk Platform Services. Experience supporting model automation, asset management, data extraction, quantity takeoffs, and design reporting. Experience coordinating with internal engineering organizations, external consultants, contractors, and owner representatives. Excellent communication skills with the ability to collaborate effectively across Civil, Electrical, Mechanical, Architectural, and Structural engineering teams. 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 Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Working alongside leading cloud providers, engineering firms, construction partners, utilities, and equipment manufacturers, we are delivering hyperscale AI campuses that enable the next generation of frontier AI models. The Strategic Sourcing team develops and executes the commercial strategies that ensure our infrastructure programs have reliable access to the equipment, materials, and strategic partners needed to deliver at unprecedented scale. We partner closely with Infrastructure Delivery, Capacity Planning, Design Engineering, Hardware Operations, Finance, Legal, and our external suppliers to build a resilient global supply network capable of supporting Industrial Compute's long-term growth. As we continue expanding globally, strategic sourcing becomes a critical competitive advantage, ensuring our infrastructure programs remain cost-effective, resilient, and capable of executing against aggressive deployment timelines. About the Role We are seeking a Strategic Sourcing Manager, Data Center Infrastructure: Owner Furnished Equipment to lead sourcing strategy for the critical infrastructure systems that power Industrial Compute campuses. This role will develop commercial strategies, negotiate strategic supplier agreements, and manage relationships across engineering, construction, manufacturing, and infrastructure partners responsible for delivering mission-critical facilities. You will work closely with Infrastructure Delivery, Capacity Planning, Engineering, Finance, Construction, and external suppliers to ensure Industrial Compute has the capacity, supplier relationships, and commercial frameworks required to support rapid global expansion. The ideal candidate has experience sourcing major infrastructure systems for hyperscale data centers, mission-critical facilities, industrial construction, semiconductor manufacturing, energy infrastructure, or similarly complex capital projects. Key Responsibilities Develop long-term sourcing strategies for data center infrastructure systems supporting Industrial Compute. Lead strategic supplier selection, RFx processes, commercial negotiations, and contract execution for major infrastructure programs. Build and maintain executive relationships with key suppliers, manufacturers, EPC firms, integrators, and infrastructure vendors. Partner with Infrastructure Delivery and Engineering to align sourcing strategies with project schedules, technical requirements, and deployment priorities. Collaborate with Capacity Planning to ensure supplier capacity aligns with long-term infrastructure roadmaps. Evaluate supplier capabilities across manufacturing capacity, execution quality, financial health, delivery performance, and operational maturity. Identify and mitigate supply chain risks through supplier diversification, long-term agreements, alternative sourcing strategies, and capacity reservations. Monitor global market conditions, manufacturing trends, commodity impacts, geopolitical risks, and supplier ecosystems that may affect infrastructure delivery. Develop supplier scorecards and performance metrics across quality, cost, schedule, responsiveness, safety, and execution. Support executive sourcing decisions through financial analysis, market intelligence, scenario planning, and supplier benchmarking. Partner with Legal and Finance to structure scalable commercial agreements that support Industrial Compute's long-term infrastructure strategy. Qualifications Bachelor's degree in Supply Chain, Engineering, Construction Management, Business, Operations, Finance, or a related field. 8+ years of experience in strategic sourcing, procurement, supplier management, or infrastructure supply chain management. Experience sourcing major infrastructure systems, industrial equipment, mission-critical facilities, or large capital projects. Proven experience negotiating complex commercial agreements with strategic suppliers. Strong understanding of supplier qualification, contract strategy, supplier performance management, and sourcing governance. Experience partnering with engineering, construction, finance, legal, and operations organizations. Excellent analytical, financial modeling, negotiation, and executive communication skills. Preferred Skills Experience sourcing one or more of the following infrastructure systems: HV to MV Substation and Transformer Equipment Medium voltage electrical distribution equipment & MV to LV transformers Low voltage electrical distribution equipment (switchgear, busway, UPS) Power system protection, control & monitoring products Prefabricated electrical skids and e-houses Modular data center infrastructure Modular cooling plants and their components (Heat exchangers, pumps, chillers, VFD) Experience working with different forms of cooling (air and water cooled chillers, dry or adiabatic coolers, CRAH, CRAC, Air Handling Units) Structural steel, enclosure systems and fabrication processes Steel, stainless steel piping and components (valves, control valves, flanges) Top Skillsets Experience supporting hyperscale cloud, AI infrastructure, semiconductor, energy, or advanced manufacturing programs. Familiarity with long-lead equipment planning and supplier capacity management. Experience working with global supplier networks across North America, Europe, and Asia. Experience working with EPC, design-build, or integrated project delivery 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 OpenAI for Government team is a mission-driven group bringing frontier AI to the U.S. Intelligence Community (IC) and broader national security enterprise. We partner with intelligence professionals to deploy secure, compliant AI capabilities—including ChatGPT Enterprise, ChatGPT Gov, and the OpenAI API—in mission-aligned environments that meet rigorous security, privacy, reliability, and responsible-AI requirements. As part of the OpenAI for Government team, you will work across IC elements and mission partners—including ODNI, CIA, NSA, DIA, NGA, NRO, and other federal intelligence organizations—to help analysts, collectors, operators, and technical teams apply frontier AI to their highest-priority missions. We accelerate adoption through hands-on support, mission-specific workflows, tailored enablement, and measurable operational outcomes while preserving human judgment, analytic integrity, and protection of sensitive information. About the Role The Strategic Delivery Lead (SDL) for the Intelligence Community will identify, shape, and deliver OpenAI’s highest-impact deployments for U.S. intelligence organizations. You will help IC customers translate mission priorities—including all-source analysis, intelligence production, collection management, open-source and geospatial exploitation, cyber threat analysis, knowledge discovery, and analyst productivity—into secure, technically feasible AI deployments built on the OpenAI API and enterprise products. The role is highly cross-functional and customer-facing: you will partner with Research, Engineering, Go-to-Market, Security, Legal, Privacy, and government mission, acquisition, and technical stakeholders to align on scope, remove delivery obstacles, and communicate progress from working teams to agency leadership. You will own end-to-end execution of technical delivery workstreams led by Forward Deployed Engineers, Researchers, Solutions Architects, and Enablement teams. You will establish mission outcomes, requirements, integrated roadmaps, milestones, dependencies, and acceptance criteria; coordinate secure architecture, data integration, evaluation, authorization, and production rollout; proactively surface risks; and ensure every engagement demonstrates measurable customer value. Accountability for contractual milestones, delivery governance, and acceptance criteria sits with you. This is a high-trust, high-autonomy role. Success requires technical fluency, deep program-management expertise, executive presence, sound judgment in classified environments, and a commitment to translating novel AI capabilities into trusted, real-world intelligence mission outcomes. In this role, you will: Build trusted relationships with IC mission owners, analysts, collectors, operators, Chief Information Officers, Chief Data Officers, Chief Information Security Officers, and acquisition leaders to identify and prioritize high-value, mission-ready AI use cases. Own delivery of complex IC engagements from discovery and technical shaping through pilot, security authorization, production deployment, customer acceptance, and sustained adoption; maintain accountability for contractual milestones, integrated schedules, scope, and mission outcomes. Translate intelligence mission requirements, analytic tradecraft, data constraints, and security policies into clear technical requirements, architectural decisions, delivery plans, and executive-level communications; lead technical exchanges, design reviews, and customer briefings. Partner with IC elements, mission integrators, cloud and infrastructure providers, industry partners, and academia to develop AI applications for intelligence analysis, collection and exploitation workflows, cyber defense, multilingual research, knowledge retrieval, and other priority missions. Lead cross-functional teams spanning Forward Deployed Engineering, Solutions Architecture, Research, Product, Security, Legal, Privacy, and customer mission teams to design, evaluate, and deliver generative AI, retrieval-augmented generation, and agentic workflow solutions. Establish delivery operating rhythms, program roadmaps, milestone and dependency tracking, risk and decision governance, customer reporting, and measurable indicators of mission impact, user adoption, model quality, and operational readiness. Coordinate deployment and integration requirements across approved classified and unclassified environments, IC cloud, restricted networks, and multiple security domains; work with security and accreditation stakeholders on identity and access management, data handling, cross-domain constraints, the Risk Management Framework, Authority to Operate, and applicable IC security requirements such as ICD 503. Partner with customer security, privacy, civil liberties, legal, and analytic leaders to incorporate human oversight, source provenance, explainability, model evaluations, red-teaming, bias mitigation, and lifecycle monitoring consistent with the IC’s AI ethics principles and analytic standards. Anticipate and mitigate technical, operational, contractual, and mission risks; manage changing requirements, integration dependencies, delivery tradeoffs, and escalation paths while maintaining program velocity and stakeholder confidence. Support early relationship-building, opportunity qualification, solution shaping, and proposal development with Account Directors and partners; bring mission and technical insight to commercial strategy, statements of work, customer acceptance, and long-term IC account growth. You’ll thrive in this role if you: Have 10+ years of experience leading technical programs, enterprise AI or cloud deployments, intelligence mission transformation, or national security consulting, including substantial direct delivery experience with U.S. Intelligence Community customers. Hold an active U.S. Government TS/SCI clearance; an existing full-scope polygraph and the ability to meet customer-specific access requirements are strongly preferred. Are willing to travel up to 50% and work on-site with IC customers in secure facilities to build trusted relationships and understand mission, user, and operating-environment needs. Understand Intelligence Community missions, organizations, operating models, and analytic tradecraft, including experience supporting agencies or elements such as ODNI, CIA, NSA, DIA, NGA, or NRO; existing IC customer relationships are beneficial but not required. Have led complex generative AI, AI/ML, enterprise SaaS, API, data-platform, cloud, or digital-transformation programs from discovery through operational deployment in mission-sensitive environments. Bring executive presence and a record of advising agency leadership, mission owners, contracting officers, and senior technical stakeholders; can influence decisions, resolve ambiguity, and build alignment across government and industry teams. Translate mission outcomes into requirements, statements of work, integrated schedules, acceptance criteria, evaluation plans, and measurable success metrics such as analyst time saved, workflow adoption, quality, and decision advantage. Have experience delivering systems across multiple classification levels and navigating secure cloud and restricted environments; familiarity with IC enterprise IT, identity and access controls, data governance, cross-domain constraints, RMF/ATO processes, and ICD 503 is valued. Understand modern AI solution architectures, including large language models, enterprise APIs, retrieval-augmented generation, agentic workflows, data integration, model evaluation, and the security, reliability, and adoption considerations involved in operational deployment. Apply responsible-AI practices appropriate to intelligence missions, including human-in-the-loop review, analytic objectivity, source and data provenance, privacy and civil liberties safeguards, explainability, adversarial testing, and ongoing model monitoring. Build durable partnerships across analysts, operators, researchers, engineers, security and privacy specialists, contracting teams, mission executives, and industry partners; thrive in ambiguous, fast-moving environments and create clarity, accountability, and momentum. See yourself as a bridge between frontier AI research and intelligence mission impact, with the technical fluency to connect emerging AI and AGI capabilities to realistic customer requirements and operational constraints. Care deeply about national security outcomes and helping Intelligence Community customers use AI safely, responsibly, and effectively while protecting sensitive information and public trust. 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 rapidly scaling our compute infrastructure across a portfolio of data center builds with multiple developer partnerships. The Data Center Planning team owns the integrated view of that supply: compute allocation, decision locks, forecasting, and the frameworks that underpin all of it. We’re looking for a versatile Data Center Supply Planning Lead to help build the plan for data center delivery. This role has a broad view of the portfolio: you will drive the supply model that ties our compute supply and capacity targets to the site pipeline, use it to prioritize which opportunities we pursue and how we configure them, and turn the reasoning into principles as the portfolio grows. You will also have a deep understanding of our active sites, and will build supply forecasts that our partners mobilize against and internal teams rely on. This is a highly cross-functional role that will work closely with our site selection, engineering, delivery, and demand planning teams on the framework and processes that move sites to operational readiness. Responsibilities Build the integrated data center supply forecast and planning assumptions behind it: committed plus pipeline supply - by site, design, and accelerator type - against growth targets Own the portfolio view of chip-to-site allocation and decision cadence: surface the trade-offs, drive the lock points, and communicate changes to the broader org Support and evolve data center portfolio reviews that ground our teams on the current state of supply, decisions needed, and downstream impacts Partner with technical program management, delivery, and demand planning teams so that hall readiness, install plans, and chip supply stay in sync as any of the three moves Build and run scenarios: assess what happens to the plan if a delivery date, chip tranche, or a target changes; and develop solvers that recommend how to close gaps Plan for the long-lead resources we should hold in inventory to create optionality and how they should be allocated strategically Shape the process by which a new site enters delivery tracking, and the change-management process by which a date change flows to downstream teams Support the buildout of a delivery planning system-of-record; partner with our internal tooling team on the build You may be a good fit if you Have led supply/capacity planning or portfolio management for data centers, power, or similar capital-intensive infrastructure Have architected supply planning processes and driven their cadence with continuous improvement Have redesigned a delivery or deployment process at scale and can point to what it improved Know the full data center buildout lifecycle, from acquisition, design, and sourcing through construction, commissioning, and deployment Have built planning models/tools with the goal of automation, while leveraging AI-assisted development Proactively surface opportunities and risk across functions and drive resolution Have a track record of driving outcomes through influence with cross-functional partners Strong candidates may also have Capacity planning, S&OP, or deployment planning experience at a hyperscaler or large industrial operator Supply chain, operations research, or optimization background (e.g. allocation, scheduling, design) Experience defining requirements for, and standing up, an internal planning system-of-record Published detailed forecasts that outside partners plan against The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About the Team The Strategic Finance team partners across OpenAI to turn company strategy into financial decisions, helping allocate resources and steer the business toward its highest-impact long-term outcomes. Within Strategic Finance, the B2B Product Finance team owns the financial perspective on growth across OpenAI’s B2B portfolio. We connect monetization and customer economics with compute demand, capacity, margin, and resource planning, partnering closely with Product, GTM, Strategic Deal Desk, Compute Finance, Capacity Planning, Data, Accounting, and other Finance teams. About the Role We are hiring a Strategic Finance leader for B2B Product to build the 0→1 financial foundations and decision-making frameworks that will help OpenAI scale its B2B business sustainably. You will own high-impact work across B2B monetization, compute demand modeling, enterprise deal economics, contribution margin, and more. This is a portfolio-wide individual contributor role spanning our API Platform and other B2B products. You will connect customer demand and commercial terms to revenue, compute consumption, and margin outcomes; influence some of our largest enterprise deals; and help leadership make sound growth investment, compute capacity, and resource allocation decisions. This role is based in San Francisco, CA. In this role, you will: Own an integrated view of B2B monetization and product economics across the API Platform and other B2B products – including pricing, packaging, channel and usage mix, discounts, credits, commitments, revenue, and customer profitability Build, maintain, and improve complex driver-based financial models that connect customer usage, product and model mix, pricing, discounting, credits, commitments, and contribution margin Build financial views for B2B compute demand and margin planning; identify risks and opportunities, explain key drivers, and recommend capacity and resourcing decisions that improve portfolio economics Evaluate some of OpenAI’s largest and most strategic enterprise deals at both the deal and broader portfolio levels – including commercial terms, discounts, credits, usage commitments, compute requirements, contribution margin, and other long-term financial implications Create decision frameworks, guardrails, and operating cadences for pricing, discounting, credits, enterprise commitments, and margin management; partner across Product, GTM, Strategic Deal Desk, Compute Finance, Capacity Planning, Data, Accounting, and Finance to operationalize Translate complex and messy data into sound, coherent, and data-driven recommendations, scenarios, forecasts, dashboards, and executive narratives; improve the B2B metrics and underlying systems and data that leaders use to manage B2B growth and financial performance You might thrive in this role if you have: 7+ years of experience in strategic finance, product or commercial finance, investment banking, private equity or venture capital, or another analytically rigorous role Direct ownership of strategic finance, product finance, commercial finance, pricing and monetization, or product P&Ls in a complex B2B business Exceptional first-principles financial modeling across usage, pricing, discounts, revenue, variable costs, unit economics, and contribution margin, with the ability to translate complex analysis into clear executive decisions Sound commercial judgment around pricing, discounting, credits, enterprise commitments, customer profitability, and the tradeoffs between growth and margin Experience influencing consequential enterprise deals, product decisions, resource allocations, or investment choices with clear, data-backed financial recommendations Comfort working through compute, capacity, and product-economics tradeoffs; experience with AI, cloud, infrastructure, usage-based, or other compute-intensive B2B business models is a plus A track record of deep cross-functional partnership across Product, GTM, Deal Desk, Data, and Accounting – including the ability to influence senior leaders when incentives or priorities conflict Excellent communication and executive storytelling, strong financial instincts, high attention to detail, and a roll-up-your-sleeves approach to independently turning ambiguous questions into action Fluency working with messy data, defining durable metrics, and building useful dashboards; SQL, analytics tooling, and practical use of AI to accelerate financial workflows are a plus This is a unique opportunity to shape the financial trajectory of OpenAI’s B2B business – from the foundational models and operating mechanisms used to manage the portfolio to the economics of our largest enterprise partnerships. 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 We're looking for a senior policy leader to own how Anthropic governs access to its most sensitive cyber-relevant model capabilities. You'll consolidate our controlled-access framework, keep our cyber-related product policy commitments current as standards shift, and serve as Anthropic's primary point of contact with government and regulatory stakeholders. This role works closely with regulators, partners, and the broader coordinated-vulnerability-disclosure community. You don't need to write code in this role, but you should be comfortable engaging deeply with technical material — probes, classifiers, and trusted-access programs — and translating it into policy that holds up under scrutiny. Key responsibilities Own Anthropic's access-requirements policy and lead consolidation of the controlled-access framework across existing and emerging access programs Keep Anthropic's cyber-related policy commitments current with shifting industry and regulatory standards, and ensure they map cleanly to our technical safeguards Serve as Anthropic's primary policy interface with government and regulatory stakeholders Build and maintain relationships across the coordinated vulnerability disclosure, cybersecurity policy, and national security communities Author and maintain reporting to partners and regulators Translate technical evaluation and safeguard work into policy positions and external-facing standards engagement Engage closely with technical teams to understand the capabilities of probes and classifiers relevant to access policy Minimum qualifications Experience engaging directly with the US government and regulatory parties on matters related to cybersecurity Experience authoring policy positions, formal reporting, or regulatory responses for government audiences Extensive experience in cybersecurity policy, including coordinated vulnerability disclosure Preferred qualifications Experience coordinating sensitive pre-release or pre-publication engagement between a company and government partners (e.g., pre-deployment testing, incident notification, regulatory pre-briefs) Familiarity with government information-sharing and incident-notification frameworks Experience engaging directly with government agencies, regulators, or standards bodies on cybersecurity matters, including on AI Ability to read and interpret technical security material, such as capability evaluations, vulnerability reports, or threat assessments Established relationships across government and regulatory bodies focused on cybersecurity A background spanning legal, technical, and policy disciplines related to vulnerabilities and disclosure Active secret security clearance or higher, or eligibility to obtain one The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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 Data Center Operations (DCO) team ensures compute fleet availability through hardware and IT operations. At our partner-operated sites, this role manages the interface between Anthropic and the strategic site operations partner performing day-to-day data hall work. As the site lead, you own site outcomes for your assigned sites including: deployment velocity, availability, and incident response. Rather than managing operations staff directly, you provide tactical direction, set priorities, and define the standards for the vendor's on-site teams, paired with performance oversight and ongoing operational assessment to ensure all operational commitments are met. You will define the operational processes, quality gates, and governance rhythms for partner-operated sites. Expect to build the playbook as much as you run it, not just at a site level, but defining and developing program improvements fleet-wide. What you’ll own Operational outcomes. Own site availability, deployment milestones, and repair turnaround, verified with independent data rather than vendor self-reporting. Vendor direction. Set daily and weekly priorities and lead the operating cadence, including standups and business reviews. Process definition. Author and improve procedures for deployment, break-fix, change management, security, and EHS compliance. Analyze operational trends and standardize lessons across the program. Performance management. Track vendor performance against SLAs and staffing commitments, driving corrective actions when necessary. Incident response and on-call. Participate in the incident escalation on-call rotation. When designated Anthropic Incident Commander for a site-specific incident, direct vendor response, own communications, and close out post-incident actions. Internal interface. Translate engineering requirements into vendor direction and communicate site constraints and risks to leadership. Representative work Leading weekly operations reviews and scorecards with vendor site leads. Directing deployment surges to meet first-compute-online milestones. Analyzing failure patterns to identify root causes and driving fixes with owners. Creating break-fix ownership matrices and training vendor teams. Serving as Incident Commander for facility events and producing post-mortems. Establishing operational readiness for new data halls, including spares and security. Identifying process gaps and codifying improvements as program standards. You may be a good fit if you Have 8+ years of experience in data center operations (hardware, IT infrastructure, or critical facilities) as a manager, technical lead or related role, including accountability for production availability. Have managed vendors, MSPs, or contract workforces to measurable outcomes: SOWs, SLAs, operational reviews, and corrective action. Carry hands-on technical depth in server, network, and rack-level infrastructure, enough to independently verify vendor claims and audit quality. Have built or substantially improved operational processes, not just run them. Have served in an incident command or lead-responder role and communicate clearly under ambiguity. Can support non-standard hours, including an on-call rotation and availability during deployment surges and maintenance windows. Bachelor's degree in relevant domain or equivalent practical experience. Strong candidates may also have Experience with third-party colocation providers or partner-operated sites, delivering IT operations outcomes inside a facility someone else runs. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. Experience with GPU/accelerator or high-density liquid-cooled infrastructure. Familiarity with multi-vendor sites where facilities and IT operations are performed by different partners. Experience leading projects from initiation to completion across teams you didn't own. Background in incident management frameworks, contract/SLA design, or EHS programs. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a AI Native Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with some of the fastest growing startups in the world. You’ll leverage your consultative sales expertise 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, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 4+ years of experience prospecting and closing startup leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment 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 Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly 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 Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $222,800 — $290,000 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 Reporting into Partner Operations & Systems within Partner Experience, this role is the operations generalist behind the partner program — an ecosystem growing quickly, with volume growing faster and an operational layer still being designed. The role has two anchors: intake — owning the front door for new process requests and building the intake process itself — and flexibility, serving as the generalist allocated to the most pressing operational issue at the time. You'll serve as the central hub for partner experience, working cross-functionally with Finance, RevOps, Sales, Enablement, Product, and Legal to ensure seamless execution of partnership strategy. Key responsibilities Own intake for new process requests: triage, scope, and prioritize needs across the partner organization and decide what gets built Design new partner operations processes from zero to one: stand up the workflow, documentation, and requirements, and iterate with data Build new AI automations with Claude: create and run Claude-powered automations and AI workflows across partner operations, taking them from prototype to production and improving them with use Take on special operations projects: join small cross-functional teams on priority initiatives Run the process and data side of registrations, referrals, incentives, applications, and onboarding, keeping the data decision-grade Encode program policy in the systems: work with program owners so rules are enforced by systems, and own data hygiene for the partner record of truth Enable partners and internal teams: build the guidance partners, Partner Managers, and Account Executives need for new initiatives Collaborate across go-to-market: partner with Sales, Finance, Enablement, Marketing, and Revenue Operations to stay aligned with the business Measure what matters: establish service levels and report on volume, cycle time, and the metrics that show what to fix next Minimum qualifications 4+ years in management consulting or investment banking, ideally paired with 1–3+ years in business operations, partner/channel operations, product operations, or a comparable role at an AI, enterprise software, or technology company Strong project management ability with experience influencing cross-functional operational initiatives Hands-on experience creating AI workflows with Claude or similar tools, and comfort running and improving them at operational volume Experience with data analysis tools and reporting platforms (e.g., Hex, Looker, or similar) Analytical mindset with the ability to derive actionable insights from complex datasets Preferred qualifications Experience with deal registration systems, partner relationship management (PRM) platforms, and commission management tools Previous experience at an AI/ML or other fast-scaling technology company Experience with partner or channel program design, including tiering and program benefits Hands-on Salesforce experience, including reporting, data imports, and workflow configuration A track record of standing up operational processes, service levels, and reporting from scratch Experience on a tiger team or task force assembled to solve high-priority problems quickly 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: $170,000 — $215,000 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 consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again. The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done. Key responsibilities: Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend. Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list. Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution. Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk. Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it. Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you. Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop. Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning. Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership. Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours. Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts. Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory. Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on. Minimum qualifications: Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role. Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours. Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it. Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk. Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution. A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one. Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it. Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question. Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable. Preferred qualifications: 5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business. Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run. Experience running at-risk or red account reviews and turning stalled work around. Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them. Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers. Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not. Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial. Experience on a new team where the operating model was being written while you ran the book, and you shipped both. 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: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.