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Account Director, Digital Natives
About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. 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 is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Sydney, Australia. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage a portfolio of customer accounts, developing and executing strategies for a comprehensive account plan. - Support your customer accounts from initial engagement to successful deployment and through to renewal. - Partner with solutions and research engineering to build and execute complex customer programs and projects. - Own a revenue target. - Manage revenue forecasts. - Analyze key account metrics to create reports and provide insights to internal and external stakeholders. - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies. - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering. - Support the recruitment and onboarding of other teammates. - Support the development of company culture. We're seeking someone with experience in: - 7+ years selling and renewing platform-as-a-service and/or software-as-a-service. - Designing and executing complex deal strategies. - Supporting the growth of fast-growing, high-performance companies. - Working directly with c-level executives. - Communicating technical concepts to customers and internal stakeholders. - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence. You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s 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 or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact 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 invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years 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.
Account Director, Startups Expansion
About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. 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 is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will 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 Startups Go To Market team. You will play a critical role in owning relationships with top startup customers and supporting them in building successfully on the OpenAI platform. We believe that many of the most disruptive and category-defining AI applications will be created by startups. The Startup Go To Market team’s mission is to help startups harness the power of AI models to drive these advances. You will support startups building effectively with OpenAI’s APIs, and provide access to OpenAI teams and expertise to support their growth. 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 set of strategically important startup customers, as well as working across the OpenAI organization to help these startups accelerate their progress and be successful using our models. You’ll work cross-functionality with product, research, engineering, support, and solutions architecture to help customers get the most out of our models. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage a portfolio of startups accounts, developing and executing strategies for a comprehensive account plan. - Partner with solutions architects to drive successful technical engagements with startups, accelerating their product development process. - Own a consumption revenue target. - Manage consumption 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. - Serve as an advocate for improving the startup experience building with OpenAI, synthesizing product feedback from insights captured from our work with startups. - Closely monitor the industry landscape and startup landscape and contribute to corporate strategies. - Support the recruitment and onboarding of other teammates. - Support the development of company culture. We're seeking someone with experience in: - 8+ years selling platform-as-a-service, cloud, or other API products. - Experience working in or around the startup ecosystem, preferably as either a founder of a startup, an employee of a startup, or someone who worked with startup customers. - Supporting the growth and product development of fast-growing, high-performance companies. - Working directly with C-level executives and startup founders. - Communicating technical concepts to customers and internal stakeholders. - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence. You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s 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 or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact 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 invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years 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.
Partner Director - AWS Alliance Partnership, Japan
About the Team OpenAI’s GTM Partnerships team builds a strategic global partner ecosystem designed to accelerate customer success, support secure AI adoption, and drive growth in support of OpenAI’s mission. We collaborate closely across Sales, Technical Success, Product, Marketing, Operations, and leadership teams to turn strategic partnerships into durable commercial outcomes. Within that ecosystem, AWS is one of OpenAI’s most strategic partners. Our opportunity extends beyond the direct alliance relationship: we aim to enable AWS teams and the surrounding services-partner ecosystem to build, deliver, and scale OpenAI-powered solutions on AWS infrastructure. Success requires close collaboration across AWS Japan alliance and field teams, AWS-focused SI practices, cloud architects, field sellers, delivery leaders, OpenAI’s Japan Partner Director, and OpenAI GTM teams. It requires strong operating discipline, scalable co-sell execution, and the ability to translate a strategic alliance into measurable customer outcomes. About the Role We are hiring a Partner Director to shape and execute OpenAI’s AWS alliance partnership in Japan. This person will own the direct relationship with AWS Japan while mobilizing AWS Japan field teams and the broader services-partner ecosystem around high-value customer opportunities. This is a hands-on individual-contributor role operating through influence in Japan. You will work alongside OpenAI’s Japan Partner Director to develop Japan GTM strategies, drive joint account planning, coordinate AWS-related opportunities, and operationally manage selected cross-functional initiatives. You will build and own the Japan GTM strategy with AWS, translating the alliance into repeatable OpenAI and AWS solutions, field playbooks, governance structures, and co-sell motions that can be adopted across Japan’s customer segments and GTM teams. The right candidate combines alliance leadership with a builder’s mindset and the ability to move comfortably between executive engagement and detailed execution. In this role, you will: - Jointly shape and execute the Japan AWS alliance strategy and annual operating plan with the Japan Partnerships Lead and Japan GTM leaders. - Own the AWS Japan alliance relationship and coordinate with AWS Japan field teams alongside OpenAI’s Japan Partner Director. - Build trusted relationships with AWS alliance leaders, sales teams, technical teams, cloud architects, industry leaders, and delivery stakeholders. - Develop joint account plans and drive co-sell execution across AWS Japan, OpenAI’s Japan Partner Director, OpenAI Sales teams, and services partners. - Identify, shape, and accelerate qualified AWS-related opportunities and customer engagements. - Mobilize AWS-focused practices within systems integrators, consulting firms, and specialist services partners. - Help partners develop repeatable OpenAI offerings, reference architectures, delivery methodologies, and GTM motions aligned with AWS infrastructure and services. - Drive operating discipline across AWS ACE, Marketplace, partner programs, funding mechanisms, pipeline tracking, partner attribution, and deal-progression workflows. - Build and run the AWS governance model in Japan, including pipeline reviews, operating cadences, executive business reviews, milestone tracking, and escalation management. - Develop scalable sales plays, enablement materials, field communications, and engagement strategies that Japan GTM teams and partners can reuse. - Lead or support contracting where appropriate, coordinating with OpenAI’s Japan Partner Director and legal, finance, and leadership teams. - Aggregate feedback from AWS stakeholders, services partners, customers, and OpenAI Japan GTM teams and translate it into recommendations for Product, Operations, Marketing, and GTM leadership. - Coordinate with Marketing on AWS-related launches, campaigns, enablement activities, and events. - Represent OpenAI with executive presence in AWS, partner, customer, and market-facing conversations. - Travel regularly within Japan, with occasional travel to the United States. Qualifications: - Direct AWS alliance experience required. - Detailed knowledge of APN onboarding, ACE, AWS Marketplace, funding models, and AWS co-sell workflows required. - 8+ years of experience in partnerships, cloud alliances, ecosystem sales, business development, consulting partnerships, or related GTM roles within SaaS, cloud, AI, or platform businesses. - Significant experience building and scaling hyperscaler-alliance motions in Japan. - Established relationships across the AWS Japan alliance, sales, and technical organizations. - Experience working with global and regional systems integrators and consulting firms with substantial AWS cloud practices. - A proven record of driving measurable partner-sourced opportunities, customer wins, and repeatable solutions through strategic partnerships. - Experience supporting complex enterprise opportunities involving cloud modernization, AI transformation, data platforms, or large-scale technical implementations. - Experience leading joint account planning and complex co-sell motions involving multiple internal and external stakeholders. - Comfort engaging C-Suite, cloud leaders, practice heads, and senior business stakeholders in commercially and technically informed conversations. - Experience building scalable partner programs, operating cadences, enablement strategies, sales plays, and field motions. - Strong technical fluency and cloud credibility, with enough depth to engage productively with architects, delivery teams, and technical decision-makers. - Strong commercial judgement and experience leading or supporting contracting processes. - Experience navigating highly matrixed organizations and aligning stakeholders without formal authority. - A demonstrated ability to operate with high ownership in ambiguous, fast-moving environments. You might thrive in this role if you: - Are a builder who enjoys creating structure and turning Japan’s partner ecosystem into repeatable motions. - Combine a sales mindset with a focus on customer delivery and measurable outcomes. - Build trust quickly with partners and executives while remaining comfortable with detailed execution. - Operate with urgency and sound judgement, focusing deeply where partnership leverage is highest. - Enjoy technical learning and can translate cloud and AI concepts into business value. - Are excited by AI, cloud transformation, and the opportunity to define how OpenAI scales through AWS and strategic services partners in Japan. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Staff Software Engineer, Identity
About the Team The Enterprise Identity team builds the identity foundation that enables organizations to adopt and use OpenAI products securely and reliably. The team owns the enterprise identity stack, including SSO, SCIM, tenant architecture, and identity capabilities across the enterprise admin experience and OpenAI's growing multi-product portfolio. About the Role We are looking for a hands-on senior technical leader to own the architecture and evolution of OpenAI's Enterprise Identity systems. You will set the long-term technical vision for the entire stack, establish shared identity primitives across products, and be accountable for systems that are foundational to our enterprise business. This role requires operating well beyond a single service or feature area. You will identify the most consequential architectural investments, align teams around durable solutions, and ensure our identity platform meets an exceptionally high bar for scale, availability, latency, and security. This role will be based in our San Francisco or Mountain View office. In this role, you will: - Own the technical vision and architecture for the Enterprise Identity stack, including SSO, SCIM, tenant architecture, groups, permissions, and identity capabilities in enterprise administration surfaces. - Lead the design and evolution of highly available, latency-sensitive identity systems serving a large and diverse global enterprise customer base. - Establish common identity models and primitives that work consistently across OpenAI's products and enable the organization to scale. - Set a high security bar by anticipating abuse cases, failure modes, and the long-term implications of new capabilities. - Drive alignment across enterprise product, infrastructure, and security partners, resolving ambiguity and influencing roadmaps beyond the immediate team. - Provide technical leadership to senior engineers and raise the quality of architecture and execution across the broader organization. You might thrive in this role if you: - Have owned the architecture of a broad, business-critical platform or large-scale distributed-systems domain at the senior-staff level. - Have set multi-year technical direction and successfully aligned multiple teams around complex architectural decisions. - Understand enterprise identity, enterprise architecture, and the operational needs of large customers in multi-product environments. - Have experience with SSO, SCIM, identity providers, tenant models, permissions, groups, or adjacent identity infrastructure. - Bring a security-minded, adversarial approach to systems design and instinctively consider how capabilities could fail or be abused. - Can move between deep technical judgment, organizational influence, and hands-on leadership where it matters most. 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.
Contract Management Lead (Procurement)
About the Team OpenAI’s Sourcing and Procurement organization helps the company acquire and scale the products, services, and partnerships needed to advance its mission. As the organization grows, we are looking for a strategic builder-operator to establish an AI-led contracting capability that improves speed, consistency, and execution across the company. In this role, you will partner with leaders and stakeholders across Procurement, Legal, Finance, Security, Engineering, and business teams to design and oversee the contracting process from intake through negotiation and lifecycle management. You will bring structure to ambiguity, align partners around shared priorities, and build repeatable operating mechanisms, responsible AI-assisted workflows, and a centralized contract lifecycle management (CLM) system of record that enable sourcing coordinators to execute agreements consistently and help the business scale. About the Role As a Contract Management Lead, you will build, lead, and continuously improve OpenAI’s AI-led contracting help desk—a new capability designed to scale contract drafting, review, negotiation, and lifecycle management without significantly increasing headcount. You will own the service strategy, operating model, delivery oversight, coordinator enablement, workflow design, and performance tracking. Sourcing coordinators will manage day-to-day negotiations and agreement execution; you will ensure they have the tools, playbooks, training, guidance, and escalation support required to deliver timely, consistent, and well-governed outcomes. This is a builder-operator and service-ownership role for someone who combines strong commercial contracting and legal-language fluency with a product-management mentality. You will be hands-on in building the systems, playbooks, AI-enabled workflows, and reporting that support the contracting desk—not in personally negotiating every agreement. You will use a contract lifecycle management (CLM) platform as the central system of record, connect it with procurement tools and contract repositories, and partner with Legal, Procurement, Engineering, sourcing coordinators, and CLM technology partners to pilot, evaluate, and improve emerging AI capabilities. Your work will turn contracting into a trusted, measurable, continuously improving service. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the product vision and roadmap for an AI-led contracting help desk, translating user needs into a scalable, measurable service for contract intake, triage, and lifecycle management. - Build and continuously improve the AI-enabled contracting framework, including agent-assisted drafting, clause and fallback recommendations, negotiation guidance, risk detection, and human-in-the-loop escalation. - Own the contract lifecycle management (CLM) platform and system of record, including workflows, approved templates and playbooks, metadata, reporting, and integrations with procurement tools and repositories. - Enable sourcing coordinators to lead day-to-day negotiations and agreement execution through effective training, clear ownership, service levels, and operational support. - Partner with Legal, Procurement, Engineering, Security, Privacy, and Finance to define approval guardrails, resolve escalations, and deploy AI responsibly. - Pilot emerging contract lifecycle management and AI capabilities; measure cycle time, automation, quality, coordinator delivery, and stakeholder adoption; and use those insights to improve the service. You might thrive in this role if you: - Bring an AI-forward mindset, with experience building or deploying AI-enabled agents, automation, or decision-support workflows and a practical understanding of evaluation, human review, confidentiality, and operational safeguards. - Think and operate like a product manager: identify user needs, define a roadmap, prioritize workflows, launch pilots, and continuously improve the experience using data and feedback. - Bring strong commercial contracting and legal-language judgment; a JD, law degree, or comparable legal background is strongly preferred, but exceptional equivalent experience is welcome. - Have implemented or owned a contract lifecycle management (CLM) platform and can design templates, clause libraries, integrations, reporting, and scalable workflows. - Can build and run a service model that enables sourcing coordinators, clarifies ownership, tracks delivery, and escalates risk without personally owning every negotiation. - Build trusted cross-functional partnerships and bring structure, speed, and sound judgment to ambiguous, high-stakes operational problems. 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.
Asset Compliance Program Lead, Hardware
About the Team OpenAI’s Central Procurement – Hardware Operations team is building scalable, AI-enabled operating foundations for a rapidly growing hardware footprint. We help the business move quickly while maintaining the data quality and controls needed to manage financial and operational risk responsibly. As OpenAI scales across R&D, new-product introduction, manufacturing, and third-party custody models, we are building the foundations to absorb complexity without adding unnecessary friction. That means establishing practical standards, strengthening discipline where it matters, using AI thoughtfully, and continuously improving how teams manage hardware operations. About the Role We are hiring an Asset Compliance Program Lead to establish the cross-business framework that gives OpenAI reliable lifecycle visibility over hardware-related financial assets and capital equipment. You will define the controls, systems roadmap, and evidence practices needed to manage those assets within OpenAI’s financial-control scope. This is a senior individual-contributor role in Central Procurement – Hardware Operations within Finance. Distinct from sourcing and transaction execution, you will partner with hardware business units, Accounting, Financial Risk Management, Procurement, contract manufacturers, and other third-party custodians to deploy practical operating mechanisms. These mechanisms will connect how assets are purchased, built, received, moved, held, verified, and retired with the ownership, data, reporting, and evidence needed for financial governance. The role covers those assets regardless of location or custody, including manufacturing equipment and tooling, supplier- and contract-manufacturer-held assets, leased assets, and other third-party-held equipment. You will stay close to the operational details—how assets move, where records diverge, which controls are not working, and where evidence is incomplete—and use that view to strengthen processes, accountability, and systems without compromising speed or flexibility. In this role, you will: - Design and scale the end-to-end asset-compliance operating model across acquisition and capitalization, custody and location tracking, transfers, lifecycle events, inventory and verification, impairment or retirement, and audit-evidence retention. - Define the authoritative asset record and systems roadmap, connecting requests, contracts, purchase orders, invoices, receiving, inventory data, physical custody, transfers, and financial records. - Establish clear ownership and control points across OpenAI teams, suppliers, contract manufacturers, logistics providers, and other third-party custodians. - Build lifecycle reconciliations and a scalable verification model across multiple internal and third-party sites, using risk-based inventories, sample testing, attestations, and corrective-action tracking to identify missing records, ownership or location gaps, unrecorded transfers, unresolved exceptions, and incomplete audit evidence. - Establish an initial baseline of asset exposure and control gaps, then prioritize remediation based on financial, operational, custody, and reporting risk. - Identify recurring issues and use process, system, workflow, automation, and AI-enabled improvements to prevent repeat problems and improve the stakeholder experience. - Shape policy, standards, and governance improvements by bringing operational evidence, implementation insight, and risk findings to the appropriate decision-makers. - Define executive reporting on asset completeness, control performance, audit readiness, remediation progress, and emerging risks. We’re looking for someone who can both operate and improve the system. This person will be hands-on in asset compliance while building the next version of how the work gets done: clearer standards, reliable data, stronger operating discipline, smarter workflows, and more AI-enabled ways of working. You might thrive in the role if you: - Have 8+ years of experience in hardware operations, supply chain, manufacturing, asset management, procurement operations, audit, risk and controls, or a similarly control-intensive environment; including experience owning or improving end-to-end asset, custody, inventory, or third-party control processes. - Are experienced in operating in complex hardware environments, such as contract manufacturing, supplier- or third-party-held assets, manufacturing equipment or tooling, global custody, logistics, or physical inventory and verification. - Demonstrate systems fluency, including ERP platforms such as SAP or Oracle and the data flows among procurement, purchase orders, invoices, receiving, inventory, asset records, and the general ledger; experience defining or improving asset-management, workflow, reporting, or control systems. - Have experience establishing audit readiness through risk-based testing, reconciliations, evidence reviews, and remediation; able to build practical operating models from ambiguity and influence senior stakeholders and third parties without formal authority. - Bring practical judgment using AI to improve analysis, documentation, exception management, or workflow design while maintaining appropriate data protection, human review, and validation. - Enjoy turning complex, fragmented operations into practical standards, clear ownership, and scalable operating routines. - Are comfortable moving between detailed problem-solving and cross-functional influence, without relying on formal authority. - Balance a high bar for financial accuracy, audit readiness, and risk management with an enablement-focused approach that helps hardware teams move quickly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Silicon Design Methodology
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a software engineer to help build the design methodology, software abstractions, and infrastructure that enable a small silicon team to develop complex chips rapidly and with high confidence. You will turn evolving architecture and design needs into reusable tools and workflows that improve iteration speed, quality, and then apply those tools to help construct world-class silicon. You’ll work closely across architecture, design, verification, performance modeling, and systems software. This role is well suited for an engineer who enjoys building high quality software and is motivated by the challenge of improving velocity and quality of the silicon development process. In this role, you will: - Develop and scale design methodologies for rapid first-party chip development and apply them to construct complex custom chips - Create abstractions that allow hardware structures, configurations, experiments, and results to be represented consistently across tools. - Automate high-value engineering workflows and improve their reproducibility, observability, testability, and ease of use. - Partner with architects, RTL designers, verification engineers, compiler engineers, and systems software engineers to gather requirements and then implement solutions. - Use methodology and tooling to identify design risks early, accelerate iteration, and improve confidence in performance and implementation tradeoffs. - Contribute across multiple aspects of software and hardware development as the first-party silicon program and its development methodology evolve. You might thrive in this role if: - You have strong software engineering skills in C++, Python, Rust, or similar systems-oriented languages. - You have experience building engineering infrastructure, developer tools, simulation frameworks, EDA/CAD tooling, compilers, or verification systems. - You understand digital design and computer architecture well enough to translate silicon-development needs into useful software abstractions. - Have experience integrating RTL and IP components into an SoC. - You have designed APIs, object models, or data models for complex systems and care about extensibility, correctness, and usability. - You are comfortable automating multi-stage workflows, building regression systems, and improving reproducibility across teams. - You can reason across architecture, design, verification, performance modeling, and software boundaries. - You enjoy partnering closely with domain experts and turning loosely defined engineering needs into durable tools and methodologies. - You thrive in rapidly evolving environments and can balance immediate program needs with longer-term platform quality. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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.
Forward Deployed Engineer (FDE), Healthcare - SF
About the Team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the Role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. - Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable outcomes. - Design and implement production AI applications and agentic systems that integrate with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools. - Build with appropriate safeguards for protected health information (PHI), HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements. - Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria that measure model and system quality against customer-specific acceptance thresholds. - Use evaluation results, error analysis, observability, and customer feedback to improve system reliability, performance, model selection, workflow impact, and production readiness. - Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives for healthcare and other regulated enterprise environments. You might thrive in this role if you: - Bring 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience, with the technical depth - Have operated as a senior engineer, tech lead, or deployment owner who is trusted to make technical decisions in ambiguous environments. - Are deeply hands-on and have personally owned technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems. - Have healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR. - Have exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges. - Have shipped complex systems as a forward deployed or customer engineer, an engineer inside a payer, provider, or health system, a builder at an EHR, interoperability, revenue cycle, payer-tech, or healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder or early engineering leader. - Apply strong judgment to AI evaluation, privacy, security, governance, and reliability. Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Forward Deployed Engineer (FDE), Healthcare - NYC
About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. - Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable outcomes. - Design and implement production AI applications and agentic systems that integrate with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools. - Build with appropriate safeguards for protected health information (PHI), HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements. - Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria that measure model and system quality against customer-specific acceptance thresholds. - Use evaluation results, error analysis, observability, and customer feedback to improve system reliability, performance, model selection, workflow impact, and production readiness. - Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives for healthcare and other regulated enterprise environments. You might thrive in this role if you - Bring 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience, with the technical depth - Have operated as a senior engineer, tech lead, or deployment owner who is trusted to make technical decisions in ambiguous environments. - Are deeply hands-on and have personally owned technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems. - Have healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR. - Have exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges. - Have shipped complex systems as a forward deployed or customer engineer, an engineer inside a payer, provider, or health system, a builder at an EHR, interoperability, revenue cycle, payer-tech, or healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder or early engineering leader. - Apply strong judgment to AI evaluation, privacy, security, governance, and reliability. Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Forward Deployed Engineer (FDE), Healthcare - Seat...
About the team OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. We work at the boundary of customer deployment and core platform development, using customer engagements to define repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments. About the role We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations, including payers, providers, health systems, and healthcare technology companies. You will lead technical discovery, architecture, implementation, evaluation, productionization, and handoff, translating complex customer workflows, data, infrastructure, and regulatory constraints into production AI systems. You will measure success through production adoption, measurable workflow impact, and evaluation loops that establish customer-specific benchmarks, acceptance criteria, and launch readiness. You’ll collaborate directly with customer technical and operational teams, alongside internal Business, Research, Product, Engineering, and Security partners, to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff. - Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, or health-system workflows into technical requirements and measurable outcomes. - Design and implement production AI applications and agentic systems that integrate with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools. - Build with appropriate safeguards for protected health information (PHI), HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements. - Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria that measure model and system quality against customer-specific acceptance thresholds. - Use evaluation results, error analysis, observability, and customer feedback to improve system reliability, performance, model selection, workflow impact, and production readiness. - Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives for healthcare and other regulated enterprise environments. You might thrive in this role if you - Bring 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience, with the technical depth - Have operated as a senior engineer, tech lead, or deployment owner who is trusted to make technical decisions in ambiguous environments. - Are deeply hands-on and have personally owned technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems. - Have healthcare experience including payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR. - Have exposure to provider or health-system workflows such as clinical operations, revenue cycle management, patient access, or contact centers; or to EHR and interoperability technologies such as Epic, Oracle Health/Cerner, MEDITECH, HL7, FHIR, or health information exchanges. - Have shipped complex systems as a forward deployed or customer engineer, an engineer inside a payer, provider, or health system, a builder at an EHR, interoperability, revenue cycle, payer-tech, or healthcare infrastructure company, a hands-on technical consultant or integrator, a solutions architect for regulated enterprises, or a technical founder or early engineering leader. - Apply strong judgment to AI evaluation, privacy, security, governance, and reliability. Prior FDE titles, clinical credentials, and experience across every healthcare domain are not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Designer, Engineering Acceleration
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Engineering Acceleration team builds products that multiply the effectiveness of OpenAI’s technical teams, helping engineers, researchers, and product teams understand complex systems, learn from what they ship, and operate reliably at scale. As AI changes how software is built, we have an opportunity to rethink engineering workflows from first principles. We’re creating tools and shared systems that turn complex data, experimentation, and technical workflows into clear decisions and useful action. About the Role In this role, you’ll lead design across two connected product areas: a real-time data exploration and observability experience for investigating large-scale system and product behavior, and an experimentation platform for safely launching changes, measuring their impact, and deciding whether to ramp, iterate, or roll back. This is more than a dashboard-design role. You’ll define the interaction models that take someone from a vague question or unexpected signal to a trustworthy answer and clear next step. You’ll work closely with engineers, researchers, data scientists, and product teams to understand the mechanics of their work and make dense technical systems coherent without flattening the details that matter. You’ll also help establish greater consistency across OpenAI’s enterprise and internal tools, developing durable patterns that support AI-native workflows and enable other designers to build more effectively. This role is based in our Seattle, WA or San Francisco, CA offices. We offer relocation assistance to new employees. In this role, you will: - Lead end-to-end design for data-intensive products used by engineers, researchers, and product teams. - Shape the complete learning loop: instrument, launch, observe, investigate, evaluate, decide, and iterate. - Create clear, high-craft workflows for querying, filtering, comparison, drill-down, visualization, alerting, and sharing. - Make complex concepts—including data freshness, coverage, reliability, uncertainty, experiment assignment, metric validity, rollout state, and regressions—understandable and actionable. - Partner closely with engineering, data science, research, and product management to translate deeply technical infrastructure into elegant, coherent product experiences. - Use prototyping, research, and rigorous design exploration to establish interaction patterns for emerging technical and AI-native workflows. - Define shared systems and patterns that create consistency across OpenAI’s enterprise and internal tools. - Establish a high bar for information architecture, visual hierarchy, interaction quality, and craft across complex, multi-surface products. You might thrive in this role if you: - Have substantial experience owning data products, observability platforms, experimentation systems, analytics products, developer tools, AI/ML tooling, or similarly technical workflows. - Are a strong product and systems thinker who can set direction in an ambiguous space and make durable interaction and platform decisions. - Can make dense information feel calm, legible, and useful without oversimplifying important complexity. - Are technically fluent, enjoy learning how underlying systems work, and can build credibility with engineers and other highly technical users. - Have strong instincts for trust and understand how provenance, reliability, uncertainty, permissions, and edge cases affect whether people act on a system’s output. - Have redesigned workflows spanning multiple tools, products, or surfaces and can create coherence across a broader ecosystem. - Have strong UX/UI and interaction design skills, with a high bar for contemporary visual craft and information design. - Can demonstrate how your work changed product decisions, accelerated learning, or improved the velocity of the teams you supported. - Enjoy staying close to detailed workflows and hands-on design while helping shape a broader product vision. - Are excited to define how engineers and AI agents will build, evaluate, and improve software together. 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.
Product Designer, Payments
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Payments team works across product, engineering, design, and finance to build the financial infrastructure that makes OpenAI’s products accessible to consumers and enterprises around the world. As AI introduces new ways for people and organizations to work, the team is defining how to support and monetize emerging forms of product usage, from usage-based pricing to agentic work. We’re building the foundational systems that help OpenAI products deliver clear, reliable, and scalable payment experiences while ensuring that this powerful technology is deployed responsibly. About the Role In this role, you’ll lead design for one of OpenAI’s most foundational product areas: the payments and monetization infrastructure that supports our consumer and enterprise products. You’ll partner closely with product, engineering, and cross-functional teams to shape how customers understand, manage, and pay for entirely new kinds of AI usage. Your work will extend beyond traditional checkout and billing. You’ll help define the systems, frameworks, and experiences behind durable pay-as-you-go models, Codex usage, and agentic workflows, translating complex business and technical requirements into intuitive experiences. As a product designer in a highly ambiguous and rapidly evolving space, you’ll influence both product strategy and the underlying infrastructure that OpenAI products depend on. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will: - Lead the design direction for foundational payments, billing, and monetization experiences across OpenAI’s consumer and enterprise products. - Design and ship high-quality, end-to-end product experiences, from early systems and interaction concepts to high-fidelity prototypes and production-ready designs. - Shape the infrastructure and product frameworks that support emerging AI usage models, including pay-as-you-go, Codex usage, and agentic work. - Partner closely with engineering, product management, finance, and design peers to define long-term platform strategy, influence the roadmap, and prioritize near-term execution. - Translate complex platform dependencies, financial logic, and technical constraints into clear, trustworthy, and scalable user experiences. - Engage in user research to understand how individuals and organizations evaluate pricing, track usage, manage billing, and make purchasing decisions. - Contribute to and evolve the design systems, patterns, and principles that bring consistency to payments and monetization across OpenAI products. - Help establish the design culture for a growing, foundational product area. You might thrive in this role if you: - Are a strong systems thinker who can connect user experiences to the underlying platform, business logic, and technical architecture. - Have experience designing complex, infrastructure-adjacent, platform, or enterprise product experiences. - Have strong UX/UI and interaction design skills, with a high bar for quality, clarity, and craft. - Are comfortable leading an ambiguous product area, developing a clear vision, and shaping a roadmap alongside product and engineering partners. - Can explain complex decisions and tradeoffs clearly to technical, business, and design stakeholders. - Enjoy solving problems where scalability, reliability, and long-term product coherence matter as much as the immediate user experience. - Are excited by defining how customers understand and pay for emerging AI products and behaviors. - Have experience with payments, billing, pricing, monetization, or usage-based products, or are eager to apply strong platform-design experience to those challenges. - Can work within, improve, and contribute to a shared design system. 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.
Account Director, Startups
About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. 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 is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will 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 Startups Go To Market team. You will play a critical role in owning relationships with top startup customers and supporting them in building successfully on the OpenAI platform. We believe that many of the most disruptive and category-defining AI applications will be created by startups. The Startup Go To Market team’s mission is to help startups harness the power of AI models to drive these advances. You will support startups building effectively with OpenAI’s APIs, and provide access to OpenAI teams and expertise to support their growth. 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 set of strategically important startup customers, as well as working across the OpenAI organization to help these startups accelerate their progress and be successful using our models. You’ll work cross-functionality with product, research, engineering, support, and solutions architecture to help customers get the most out of our models. In this role, you will: - Manage a portfolio of startups accounts, developing and executing strategies for a comprehensive account plan. - Partner with solutions and research engineering to build and execute complex customer programs and projects. - Own a consumption revenue target. - Manage consumption revenue forecasts. - Analyze key account metrics to create reports and provide insights to internal and external stakeholders. - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies. - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering. - Serve as an advocate for improving the startup experience building with OpenAI, synthesizing product feedback from insights captured from our work with startups. - Closely monitor the industry landscape and startup landscape to contribute to product roadmap and other corporate strategies. - Support the recruitment and onboarding of other teammates. - Support the development of company culture. We're seeking someone with experience in: - 6+ years selling platform-as-a-service and/or software-as-a-service. - Designing and executing complex deal strategies. - Experience working in or around the startup ecosystem, preferably as either a founder of a startup, an employee of a startup, or someone who worked with startup customers. - Supporting the growth of fast-growing, high-performance companies. - Working directly with C-level executives. - Communicating technical concepts to customers and internal stakeholders. - Leading high-visibility customer events (CAB, conferences, product launches, etc.). - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence. You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s 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 or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact 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 invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years 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.
Consumer Device Safety & Risk Operations Specialis...
About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving areas of work. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are seeking a Device Safety & Risk Operations Specialist to build the safety operating model for a new category of consumer hardware. This is a senior individual-contributor role for someone who can turn emerging product risks and incomplete requirements into practical workflows, controls, launch plans, and durable systems. You will define how product-safety incidents, critical escalations, regulated cases, and privacy-sensitive issues should be identified, investigated, escalated, resolved, and learned from. You will also establish operational requirements for case management, data access, decision logging, quality assurance, monitoring, and cross-functional response. You will stand up priority workflows through launch and early operations, then help transition them into durable homes across USRO and partner teams. The right person combines deep operational judgment with strong technical and hardware product fluency. They can move from executive-level risk framing to detailed workflow design, tabletop exercises, launch readiness, frontline guidance, and post-launch improvement. Location / work model: San Francisco, CA; hybrid, 3 days/week in-office. Please note: This role may involve exposure to sensitive or concerning material. Strong discretion, judgment, and resilience are essential. In This Role, You Will: - Build the end-to-end safety and risk operating model for new consumer hardware, from early requirements through launch and early-life operations. - Define incident taxonomies, severity levels, decision rights, escalation criteria, response pathways, and closure standards. - Develop operational playbooks for product-safety incidents, critical escalations, safety advisories, corrective actions, and other high-risk events. - Design workflows for regulated and privacy-sensitive cases, including restricted handling, evidence requirements, auditability, and partner escalation. - Translate safety and operational needs into requirements for tooling, case management, data access, monitoring, logging, and automation. - Establish clear ownership boundaries across Product, Engineering, Legal, Privacy, Product Policy, Support, Product Quality, and other operational partners. - Build launch-readiness plans, tabletop exercises, training, quality controls, reporting, and post-launch monitoring. - Use operational data, customer signals, product telemetry, and case outcomes to identify patterns and improve upstream products and systems. - Determine where AI and automation can improve triage, evidence assembly, consistency, and response while preserving appropriate human judgment. - Stand up priority workflows, operate them through launch and early-life stabilization, and transition them into durable homes across USRO and partner teams. You Might Thrive in This Role If You: - Have 8+ years of relevant experience in device safety, product safety, consumer hardware operations, technical program management, or a related field. - Have built a complex safety or risk program from an ambiguous starting point through launch and scaled operation. - Understand the realities of handling high-severity incidents, regulated workflows, sensitive customer information, and time-critical escalations. - Can translate product, engineering, legal, privacy, and policy constraints into workflows that operational teams can execute. - Are technically fluent and can reason through data flows, telemetry, access controls, audit logs, case systems, automation, and failure modes. - Use data to assess workflow health, identify emerging patterns, evaluate quality, and make risk-based decisions. - Can establish clear accountability across teams with overlapping responsibilities and different risk tolerances. - Know how to balance launch speed with safety controls, monitoring, rollback criteria, and longer-term system development. - Communicate clearly with operational, technical, legal, and executive audiences when evidence is incomplete or tradeoffs are difficult. - Are highly practical and willing to build the workflow, not only define the strategy. - Experience supporting consumer hardware, connected devices, or other products used in shared environments. - Experience with product-safety investigations, recalls, field failures, safety advisories, or hazardous-product handling. - Experience designing workflows involving privacy-sensitive sensor, diagnostic, media, or household data. - Familiarity with warranty, repair, reverse logistics, identity recovery, fraud, or ownership disputes. - Experience building vendor training, quality-assurance, incident-response, or specialist-review programs. 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.
Business Development Lead, Compute Strategy
About the Team OpenAI’s Compute Strategy team is responsible for securing and scaling the core resources that power our research and products. We partner across engineering, finance, legal, and operations to identify, negotiate, and execute strategic partnerships that expand OpenAI’s capacity for compute, power, and data center infrastructure. Our mandate spans energy procurement, real estate development, colocation, cloud service providers, silicon and strategic supply chain, and infrastructure financing—ensuring OpenAI can grow with speed, resilience, and cost-efficiency. About the Role We are hiring several Business Development Lead, Compute Strategy positions focused on compute infrastructure. Each hire will bring deep expertise in one or more focus areas while collaborating across the broader infrastructure stack. In this role, you will source opportunities, structure partnerships, and negotiate high-value agreements across OpenAI’s infrastructure ecosystem. You will work directly with external partners and suppliers while collaborating internally with engineering, legal, finance, and operations to ensure we have the resources needed to support state-of-the-art AI systems. This role requires technical fluency, commercial judgment, and disciplined execution. Your work will directly shape how quickly, reliably, and efficiently OpenAI can bring new compute capacity online. Each hire will focus on building partnerships and executing deals in one or more of the following areas: - Energy and Power: securing scalable and sustainable energy supply. - Land and Real Estate: identifying and securing strategic sites. - Colocation : evaluating and contracting for third-party data center capacity. - Cloud Service Providers (CSPs): structuring partnerships with hyperscalers and specialized AI cloud providers. - Silicon: building semiconductor partnerships to secure advanced silicon and resilient long-term supply. - Fiber & Equipment: securing fiber & critical data center equipment from strategic suppliers. - Capital Markets : partnering with Finance, Treasury, and capital providers to develop financing solutions for large-scale compute infrastructure investments. Key Responsibilities - Own partnership opportunities end-to-end—from concept formation and sourcing through evaluation, diligence, internal approval, negotiation, close, and post-close execution—across one or more of the focus areas above. - Lead negotiations for complex commercial agreements, balancing cost, speed, and long-term scalability. - Build and manage relationships with senior leaders across utilities, real estate developers, colocation and cloud providers, semiconductor and equipment suppliers, financial institutions, and other capital providers. - Develop market intelligence to inform OpenAI’s infrastructure roadmap and partnership strategy. - Coordinate across engineering, legal, finance, Treasury, and operations to structure agreements that align with technical and business objectives. - Represent OpenAI in external forums, conferences, and industry working groups to strengthen our ecosystem presence. - Operationalize and establish governance for signed agreements; track delivery, risks, economics, and business impact against commercial and technical objectives. Qualifications - Have 8+ years of experience in business development, strategic partnerships, private equity, corporate development, project development, or infrastructure finance, with relevant experience in at least one focus area above. - Have a demonstrated track record of closing complex, high-value commercial agreements. - Bring deep expertise in at least one of the focus areas above, with the ability to translate technical requirements and constraints into commercial structures and contract terms. - Possess exceptional negotiation and relationship management skills with the ability to engage C-level stakeholders. - Have strong analytical skills to assess market opportunities, model deal structures, and evaluate long-term ROI. - Are comfortable navigating ambiguity in a fast-moving environment. - Hold a JD, MBA, or equivalent experience is preferred but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Order Management & Billing - Lead
About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Order to Cash (OTC) team oversees the complete flow of commercial transactions from order intake and provisioning through billing, collections, and cash application — ensuring accuracy, compliance, and operational excellence in support of OpenAI’s mission to ensure artificial general intelligence benefits all of humanity. About the Role We are seeking a Senior Manager to build and scale Order to Cash across OpenAI’s API and ChatGPT businesses, cloud marketplaces, and strategic partnership channels. This role will own end-to-end Order Management and Billing operations across API and ChatGPT while leading OTC readiness and execution for AWS Marketplace, Google Cloud Marketplace, Oracle Cloud Marketplace, GovCloud, and future partner channels. The role will also own the end-to-end Order Management and Billing close, setting the close calendar, readiness standards, review and sign-off expectations, while leading the team responsible for execution. You will oversee the Order Management and Billing lifecycle across API, ChatGPT, marketplace, and partner transactions, spanning commercial readiness, order intake, provisioning, usage and transaction data, pricing validation, invoicing, credits, settlements, and product and partner reporting. Your work will ensure transactions are accurate, timely, complete, and supported by audit-ready controls. This is a leadership role that combines strategic ownership, cross-functional leadership, and hands-on operational execution. You will define the target operating model, lead first-of-kind launches, shape product and systems roadmaps, and oversee the resolution of complex contract modifications, non-standard pricing, usage disputes, reconciliation breaks, settlement variances, and customer- or partner-impacting escalations. You will collaborate with teams across Finance, GTM, Product, Engineering, Legal, Tax, Revenue Systems, and Partner Operations, as well as external marketplace stakeholders. Your work will help create the operational foundation OpenAI needs to scale API, ChatGPT, cloud marketplaces, and new monetization channels globally. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the strategy and end-to-end operating performance across OpenAI’s API and ChatGPT businesses, strategic cloud marketplaces, and partner channels, establishing a consistent operating model that scales across products and relationships. - Lead the end-to-end Order Management and Billing lifecycle across API, ChatGPT, marketplace, and partner transactions, including private offers, order intake, provisioning, usage or transaction ingestion, pricing and discount validation, invoicing, credits, settlements, and reporting. - Design source-to-settlement reconciliation, completeness, and exception-management frameworks across orders, entitlements, usage, pricing, invoices, marketplace reports, settlements, and financial systems. - Own FTE and BPO operating performance across service levels, capacity, quality, controls, close readiness, and escalations; use performance data to strengthen accountability, coaching, and independent execution. - Serve as the accountable DRI for the end-to-end Order Management and Billing close across API, ChatGPT, and Cloud Partnerships, setting the close calendar and readiness criteria and ensuring the team delivers timely execution, reconciliations, review, issue resolution, and sign-off. Partner with Revenue Accounting and Technical Revenue Accounting on contract review, usage validation, invoice verification, revenue recognition requirements, and post-close improvements. - Build and lead a high-performing organization across API, ChatGPT, and Cloud Partnerships, developing leaders and establishing the accountability, operating discipline, and organizational capacity required to scale globally. - Serve as the senior escalation point for Order Management and Billing issues, assessing financial and customer impact, coordinating resolution, identifying root causes, and ensuring durable corrective actions. - Establish scalable controls, approval paths, segregation of duties, audit evidence, and documentation that protect financial integrity while supporting a strong customer and partner experience. - Influence Product, Engineering, Revenue Systems, Finance Systems, GTM, Legal, Tax, Deal Desk, and Partner Operations roadmaps so API, ChatGPT, marketplace, and partner requirements are addressed upstream and scale with the business. - Define operational metrics and executive reporting for billing accuracy, automation, cycle time, backlog, service levels, exceptions, settlements, close readiness and timeliness, partner escalations, BPO quality, control performance, and throughput; use insights to prioritize improvements and drive accountability. - Build durable operating mechanisms—including governance forums, clear ownership models, service levels, standard operating procedures, playbooks, training, capacity plans, quality controls, and escalation paths—and govern repeatable execution through shared-services or external delivery teams. - Lead the process, systems, AI, and automation roadmap across API, ChatGPT, and cloud marketplace Order Management and Billing, increasing touchless processing, reducing manual work and rework, and identifying discrepancies before they create revenue, customer, partner, or close impact. You might thrive in this role if you have: - 10+ years of progressive experience across Order Management, Billing Operations, Order to Cash, Revenue Operations, or Revenue Accounting in a high-growth SaaS, technology, or usage-based business. - 6+ years of direct people-management experience, with a demonstrated ability to build, develop, and lead high-performing teams through growth, complexity, and change. - Deep experience with usage-based or enterprise SaaS billing, API- or product-led monetization, cloud marketplaces, reseller ecosystems, or other complex partner-billing models. Experience with AWS Marketplace, Google Cloud Marketplace, Oracle Cloud Marketplace, Microsoft Commercial Marketplace, or comparable ecosystems is highly relevant. - Strong understanding of quote-to-cash and order-to-cash processes across subscription, consumption-based, committed-spend, private-offer, and indirect or partner-led business models. - Strong command of operational controls, source-to-ledger reconciliations, data completeness, segregation of duties, audit readiness, and the financial risks created by upstream or downstream process failures. - Hands-on experience with CRM, CPQ, contracting, billing, payment, ERP, and data platforms such as Salesforce, Oracle Fusion, NetSuite, Stripe, Metronome, or comparable systems, as well as marketplace APIs, reports, or settlement data. - Experience defining or governing scaled service delivery through shared-services, offshore, or external teams, including service levels, enablement, capacity planning, quality assurance, performance management, and escalations. - The ability to set direction, make sound risk-based decisions, and influence senior stakeholders across Finance, Product, Engineering, GTM, Legal, Tax, and external partner organizations. - Exceptional analytical and executive communication skills, with the judgment to simplify complex issues, navigate ambiguity, manage competing priorities, and remain hands-on when the business requires it. 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.
Research Engineer / Research Scientist / AI System...
About the Team The Recursive Self-Improvement (RSI) team works across research, engineering, product, and infrastructure to build AI systems that accelerate and ultimately conduct high-quality research at OpenAI. We work to automate real research workflows and improve research productivity by building systems and feedback loops, designing evaluations, and training models to develop missing capabilities. Our work spans the full lifecycle of model training, evaluation, and deployment to help researchers move faster and tackle increasingly ambitious problems. About the Role We’re hiring research scientists , research engineers , and AI systems engineers to work on automating research at OpenAI. This role is based in San Francisco, CA. In this role, you will: - Design evaluations for research judgment, hypothesis generation and testing, and long-horizon experiment execution. - Turn real research workflows and model failures into data and evaluation flywheels. - Improve model research capabilities through agent harnesses, synthetic data, RL environments, and model training. - Build and maintain safe, reliable integrations between our models and OpenAI’s research infrastructure. - Develop research agents, experiment-orchestration systems, and sandboxed runtimes that support real research workflows. - Create metrics and economic models to understand RSI’s current and future effects on research productivity, model capabilities, and the safety of internal deployments. This is a high-ownership role for researchers and engineers who thrive in ambiguity, move fluidly between research and implementation, and turn emerging opportunities into rigorous, reliable, scalable results. You might thrive in this role if you: - Have research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems. - Are a strong generalist who can move between open-ended research and practical implementation, turning ambiguous problems into clear results. - Collaborate effectively across the full stack, including systems, data, model training, evaluations, and other research teams. - Are comfortable building and maintaining the data pipelines, tooling, and infrastructure needed to support emerging AI capabilities. - Are comfortable working on problems without clear definitions or established playbooks. - Think rigorously about scientific quality, research taste, safety, privacy, reliability, performance, and scale. - Are excited about using increasingly capable AI systems to accelerate meaningful research. 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.
Android Systems Engineer, Consumer Devices
About the Team The Consumer Devices team is building a new generation of AI-native experiences that bring OpenAI’s technology closer to people throughout their day. We are exploring how AI can become deeply integrated into the devices people already use—understanding context, helping users accomplish tasks, coordinating across apps and services, and making use of capabilities that are uniquely available on the device. Our work spans software, devices, platform technologies, and strategic partnerships. We operate as a highly collaborative, fast-moving team focused on turning ambitious ideas into reliable products that can reach people at significant scale. About the Role As an Android Systems Engineer , you will help define and build the Android platform capabilities behind the next generation of AI-powered consumer experiences. This is not a traditional application-only Android role. You will work across the Android stack, using system-level APIs, device capabilities, platform integrations, and OEM-specific functionality to create experiences that would be difficult or impossible to build as a conventional mobile application. You will help determine what becomes possible when an AI assistant is deeply integrated with a mobile device: how it understands what is happening, interacts naturally with the user, connects across apps and services, and helps complete multi-step tasks. You will work closely with product, design, AI, backend, platform, and external device partners to take new concepts from prototype to production. The role requires strong technical judgment, product intuition, and comfort navigating areas where the platform, APIs, and product patterns are still evolving. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build deeply integrated Android experiences: Design and implement product experiences that take advantage of Android platform capabilities. - Work across the Android platform: Develop against Android framework and system APIs, system services, lifecycle and background execution primitives, inter-process communication, permissions, notifications, intents, and other platform capabilities. - Unlock device capabilities: Identify and use capabilities such as audio, camera, sensors, connectivity, location, notifications, credentials, and other device signals to enable useful, context-aware AI experiences. - Build agentic mobile experiences: Develop systems that allow AI-powered experiences to help users complete multi-step tasks and coordinate actions across applications, services, and device functionality. - Create scalable abstractions: Turn device-specific capabilities into well-designed platform layers and reusable components that can support multiple Android devices, OEMs, form factors, and product experiences. - Prototype new interaction models: Rapidly explore new Android capabilities, APIs, and device features to understand what is technically possible and help shape product direction. - Own experiences end to end: Take ideas from early technical exploration through architecture, implementation, testing, launch, and iteration in production. - Build for reliability and performance: Ensure experiences remain fast, power-efficient, resilient, and reliable across a diverse Android device ecosystem. - Design for privacy and security: Carefully handle permissions, user data, device access, authentication, and system capabilities while maintaining clear user control and trust. - Partner across disciplines: Work closely with product, design, research, backend, AI, systems, and partner engineering teams to turn emerging AI capabilities into cohesive consumer experiences. - Help define the future platform: Stay current with new Android releases, APIs, device capabilities, and ecosystem developments, and use that knowledge to identify opportunities for entirely new product experiences. You might thrive in this role if you: - Have deep experience building and shipping high-quality Android software used by real customers. - Have strong knowledge of the Android platform beyond UI and application development, including framework APIs, system services, process and application lifecycle, permissions, IPC, background execution, and device capabilities. - Are highly proficient in Kotlin and/or Java and comfortable working across a large Android codebase. - Have experience working with AOSP, Android framework internals, system applications, privileged APIs, device software, or OEM-specific Android integrations. - Have experience integrating software with hardware or device capabilities and enjoy debugging problems that cross application, operating-system, and device boundaries. - Understand the realities of building across the Android ecosystem, including OS versions, device configurations, OEM customizations, permissions, power management, and platform fragmentation. - Care deeply about product quality and user experience, not just technical correctness. - Think creatively about what new platform capabilities make possible and enjoy turning emerging technology into intuitive consumer experiences. - Thrive in ambiguous, rapidly changing environments where the right technical and product approach is not obvious at the outset. - Take ownership of problems, develop strong points of view, and can independently drive work from exploration through production. - Enjoy 0→1 product development and are energized by building experiences for which established patterns may not yet exist. - Stay current with new Android technologies, APIs, operating-system capabilities, and broader developments across the mobile ecosystem. - Collaborate effectively with internal teams and external platform or device 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.
Researcher, Multimodal Safety
About the Team OpenAI is at the center of some of the highest-impact multimodal work in AI. ChatGPT serves a massive global audience, and enables diverse interactions via text, speech, and visuals. As interactive surfaces grow, models also need to adapt to emerging harm, understand user intent and situational context, and respond appropriately. The Chat and Multimodal Safety team is responsible for ensuring that OpenAI’s increasingly multimodal models and products behave safely across these experiences. We develop the research, training methods, and evaluations needed to make these experiences safe. Our work sits at the frontier of responsibly deploying powerful AI, in close partnership with Personal AGI, io, model training, and product teams. About the Role As a Researcher on the Chat and Multimodal Safety team, you will help shape how frontier models perceive and reason the world, and translate that understanding into safe behavior. We’re looking for people who combine deep technical expertise with strong safety judgment. Strong candidates often bridge perception and language: they may have built vision-language models, worked on modality fusion or image encoders, developed multimodal post-training or evaluations, or advanced safety for image, video, or audio systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Define and advance multimodal safety research for text, vision, and audio, connecting perception and semantic understanding to safe model behavior. - Build training and evaluation methods for VLMs, including post-training, safety evals, and interventions that help models respond safely and appropriately in varied contexts. - Collaborate closely with Personal AGI, Consumer Devices, and product/model teams to translate research into safer ambient, embedded, and personalized multimodal experiences. You might thrive in this role if you: - Have a track record of building or advancing multimodal models, with depth in vision-language models, video understanding, image generation, audio, or multimodal reasoning—and fluency across both perception and language. - Understand how multimodal systems work end to end, from encoders, projection layers, and modality fusion to cross-modal reasoning, scaling, and inference tradeoffs. - Have improved frontier model behavior through post-training, using approaches such as SFT, RL, data curation, synthetic data, evaluation, and rigorous error analysis. - Bring strong research and engineering judgment to open-ended safety problems: you can form testable hypotheses, design decisive experiments and evaluations, diagnose model failures, and translate findings into robust improvements. 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.
User Safety & Risk Operations Analyst - Global Res...
About the Team At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base. The Global Safety Response Operations team within the org provides 24/7 coverage for user safety, risk, and regulatory escalations across OpenAI’s products, handling the highest-priority cases that require human judgment and rapid response. The team operates as the core escalations management and delivery arm of OpenAI’s safety operations, ensuring that our products remain safe and aligned with our policies while enabling timely, empathetic, and consistent user support. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Please note: This role may involve exposure to sensitive content, including material that is sexual, violent, or otherwise disturbing. About the Role We’re looking for experienced Trust, Safety, and Risk Operations analysts who have subject matter expertise in one or more of the following areas: policy enforcement and content moderation, fraud and scam prevention, developer risk, or privacy and regulatory escalations. You’ll be on the front lines of safety escalation management, helping to triage and resolve urgent and sensitive cases. You’ll work across subject matter areas, systems, and processes to ensure operational excellence, develop process improvements and automations, and surface insights and trends. This is a 24/7 global operation that requires flexibility to work rotating shifts, including nights, weekends, and holidays, as part of an on-call coverage model. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Please note: This role may involve exposure to sensitive content, including material that is sexual, violent, or otherwise disturbing. In This Role, You Will: - Handle and resolve high-priority cases across all harm and risk areas, ensuring timely and appropriate resolution in line with policy and legal requirements. - Operate across multiple systems and tools to manage user reports and tickets, internal escalations, and other high priority investigations. - Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation. - Identify and implement process improvements and automation opportunities to increase efficiency, accuracy, and coverage. - Conduct quality reviews and provide feedback to improve consistency across global teams. - Analyze trends and generate insights from escalation and case data to inform policy, product, model behavior, or detection improvements. - Maintain exceptional accuracy, judgment, and composure under pressure when handling sensitive or time-critical situations. - Participate in 24/7 on-call rotation, including off-hours and weekend coverage as needed. - Note: each person in this role will be expected to work a standard 5x8 work week, which includes covering the weekend shift each week (e.g., work weeks covering Saturday - Wednesday) You Might Thrive in This Role If You: - Have 5+ years of experience in trust & safety, content moderation, investigations, fraud, or developer risk operations. - Have experience working in incident response, law enforcement response, or escalations management. - Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact. - Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks. - Have a track record of scaling operations , building processes, and working cross-functionally to improve performance and safety outcomes. - Possess exceptional analytical skills able to detect patterns, assess risk, and recommend policy or product changes based on evidence. - Communicate with clarity, empathy, and precision especially in sensitive user-facing contexts. - Thrive in ambiguous, high-autonomy environments and balance speed with diligence. - Are comfortable with frequent context switching , managing multiple projects, and prioritizing impact. 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.
Manager, AI Deployment Engineering - Large Enterpr...
About the Team The Applied AI team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our ADEs in the Large Enterprise segment, you’ll help companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the Role We are seeking an Applied AI Engineering leader to ensure the technical success of our most strategic Large Enterprise customers across EMEA. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology. This role is open in both our London and Munich offices. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the strategy and operating model of the Large Enterprise Applied AI team, ensuring alignment with company objectives and the evolving needs of our customers. - Lead, build, and mentor a team of high-performing ADEs to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption. - Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps. - Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders. - Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors. You might thrive in this role if you: - Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations. - Have 2+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams. - Have led complex implementations of Generative AI/traditional ML solutions to production for large enterprises, and have knowledge of network/cloud architecture. - Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same. - Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, API Enterprise Controls
About the Team API Enterprise Controls is part of the API Infrastructure organization and owns the platform capabilities that help developers, startups, and enterprises adopt the OpenAI API securely and confidently. We build the systems underneath our APIs and developer platform across authentication and identity, service accounts and key management, secure networking, compliance, auditability, observability, and operational controls. Our users are developers and teams running critical applications on OpenAI, and we partner closely with Product, go-to-market, security, and infrastructure teams to turn their most important needs into reliable, intuitive platform capabilities. About the Role We are looking for an exceptional backend software engineer to help define and ship the enterprise capabilities our API Platform needs to scale.; this is a product-engineering role grounded in deep backend systems. You will work across databases, streaming systems, request routing, authentication, and developer-facing APIs while bringing strong product judgment, developer empathy, and attention to the small details that make a platform easier to understand, trust, and operate. You will lead large cross-functional initiatives, work closely with Product and go-to-market teams, engage directly with sophisticated users, and carry ambiguous needs from discovery through design, launch, and iteration. In this role, you will: - Own backend product capabilities end to end across authentication and identity, service accounts and key controls, secure networking, compliance, observability, and operational workflows. - Partner with Product, go-to-market, security, infrastructure teams, and sophisticated customers to identify needs, shape the roadmap, and lead large cross-functional projects from design through launch. - Design developer-facing APIs, system behavior, configuration, error handling, safe defaults, auditing, and notifications with exceptional care for the details that define a great developer experience. - Build, operate, and debug highly reliable backend systems spanning databases, streaming infrastructure, request routing, and distributed services, with strong operational ownership. Your background might look something like: - 9+ years of professional engineering experience, excluding internships, in relevant backend, platform, or product-driven engineering roles. - Exceptional backend engineering depth paired with strong product judgment and a track record of shipping API or platform capabilities that users depend on. - Experience leading large cross-functional initiatives, influencing product direction, and aligning engineering, Product, go-to-market, security, and infrastructure partners. - Proficiency in one or more backend languages such as Python, Go, Rust, TypeScript, or similar, with strong software design and systems fundamentals. - Experience with distributed systems, databases, streaming systems, request routing, authentication and identity, networking, or enterprise platform controls. - Strong communication and developer empathy, including experience working closely with product partners and users to turn ambiguous needs into clear technical decisions. - Strong opinions about reliability, DevOps, and operational excellence, paired with meticulous attention to the details that make complex systems feel simple and dependable. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, API Multimodal
About the Team API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world. We are responsible for high-scale multimodal APIs, including image generation and Live API . We partner closely with Research and Inference to bring frontier model capabilities to developers and use customer feedback to improve our models. About the Role As a software engineer on API Multimodal, you will build and operate the products and distributed systems behind OpenAI’s image, audio, and real-time APIs. You will work across model integration, API design, and production infrastructure to turn new research capabilities into reliable developer experiences. This hands-on role combines backend and systems depth with product judgment: you will own projects end to end, partner with Research, Inference, and Safety, and help make multimodal AI useful at scale. Model training experience is not required. In this role, you will: - Design, build, and ship developer-facing APIs and backend services that serve frontier models. - Architect low-latency streaming, request, session, and model integration systems that make complex multimodal interactions reliable and intuitive at scale. - Work directly with Research to bring new model capabilities into production, shape the systems around them, and incorporate feedback from real-world developers and customers. - Own the availability, latency, scalability, and cost efficiency of the services you build. - Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards. Your background might look something like: - 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles. - A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed systems. - Strong software engineering and systems fundamentals, with experience leading technically complex projects from ambiguous ideas to production. - Proficiency in one or more general-purpose backend languages, such as Python, Go, Rust, or TypeScript. - Experience building reliable, scalable systems and reasoning about distributed architecture, concurrency, latency, observability, and operational tradeoffs. - Product judgment and developer empathy, including an ability to turn complex model or infrastructure capabilities into clear, intuitive APIs. - Clear communication and a collaborative approach to working with researchers, product managers, designers, infrastructure engineers, and customers. - A strong sense of ownership, comfort with ambiguity, and a bias toward learning directly from users while continuously improving engineering quality. - Experience with real-time streaming, audio processing, speech systems, image generation, computer vision, or multimodal AI applications is helpful, but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Hardware Platform Security Architect
About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role Trusted Computing and Cryptography is a core security team at OpenAI focused on deploying high-performance cryptography at scale, secure key management, and trusted hardware enclaves—from boot measurements to GPU confidential computation. As a Hardware Platform Security Architect, you’ll own hardware platform security at OpenAI. In this role, you will: - Co-Architect Secure Silicon: Collaborate with cross-functional silicon teams (Silicon Design, DV, FW) and silicon partners (silicon test facilities, foundries) to develop secure silicon that meets the end-to-end system requirements. - Co-Architect Secure Hardware: Collaborate with hardware vendors and cross-functional teams (kernel, compiler, infra) to design secure hardware that meets performance and security needs. - Co-Architect Secure Systems: Architect and deploy systems using TPM2, Secure Boot, Nitro Enclaves, Intel SGX, AMD-SEV, and other secure hardware technologies. - Drive Innovation: Engage with internal and external partners to align hardware innovations with OpenAI’s trusted computing and cryptographic requirements. You might thrive in this role if you have: - 10+ years of industry experience in hardware security or hardware–software co-design. - Proven expertise in deploying secure hardware systems at scale and integrating secure hardware primitives. - Strong coding skills in Rust and/or C/C++, with proficiency in Python. - Proven ability to collaborate across teams, architect solutions, and debug complex production systems. - A proactive, ownership-driven mindset with a focus on end-to-end problem solving. Nice to Have - Advanced degree in Computer Architecture, Electrical Engineering, or related fields. - Familiarity with HPC, low-precision computing, and SIMD architectures. 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.
Data Scientist, SMB Ads Growth
About the Role OpenAI's ads platform is experiencing rapid global scale. As the Lead Data Scientist for SMB Ads Growth, you will architect the analytics function end-to-end—driving strategy across targeting, funnel optimization, and performance forecasting. You will work directly with the SMB Ads Marketing team and your insights will be the primary catalyst for high-stakes decisions across marketing, product, and sales engineering. What You'll Do Full-Funnel Analytics - Establish the foundational growth metrics and North Star KPIs for the SMB Ads ecosystem, optimizing the journey from lead acquisition to long-term retention. - Diagnose funnel friction points through advanced behavioral analysis and quantify the incremental revenue impact of proposed optimizations. - Partner cross-functionally to transform complex data findings into actionable, high-priority roadmaps for product and marketing stakeholders. Targeting, Segmentation & Propensity Modeling - Engineer sophisticated propensity models and look-alike frameworks to identify and capture high-LTV SMB advertisers. - Own the lifecycle of target list construction, including advanced data enrichment, multi-dimensional prioritization, and granular performance tracking. - Develop robust segmentation architectures that power hyper-personalized outreach across paid, partnership, and outsourced (BPO) channels. - Synthesize market signals to refine our value proposition, ensuring OpenAI remains a key platform for SMB business growth. Campaign Analytics & Measurement - Design and implement rigorous multi-touch attribution and incrementality frameworks to evaluate channel efficacy. - Lead the experimental roadmap: formulate hypotheses, execute A/B and multivariate tests, and communicate results to executive leadership. - Automate business-critical reporting and dashboards to provide real-time visibility during weekly operating reviews. Forecasting & Planning - Build high-fidelity revenue and advertiser growth models to project performance against quarterly and annual targets. - Simulate the impact of various growth levers—such as regional expansion and channel activation—to drive strategic resource allocation. What We're Looking For Required - 5+ years of experience in data science or growth analytics within an ads platform, marketplace, or high-growth B2B environment. - Proven track record of deploying machine learning models (propensity, LTV) that significantly moved business metrics. - Strong SQL; proficient in Python or R. - Experience thriving in ambiguous "0-to-1" environments, with a hands-on approach to building data infrastructure and processes. Strongly Preferred - Prior experience at a major scaled ads platform (e.g., Meta, Google, LinkedIn). - Experience working in 0-1 environments - A deep passion for artificial intelligence and proficiency in leveraging AI tools to accelerate modeling and insight generation. 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.
Data Scientist, Ads Demand
About the Role OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace. You will partner closely with Ads Sales leadership and Ads Product leadership—along with Marketing Science and product and sales teams—to diagnose advertiser performance, define benchmarks, identify growth opportunities, and turn advertiser feedback into product priorities. Your work will shape demand strategy, improve advertiser outcomes, and help OpenAI build for its most valuable advertisers. What You'll Do Demand Health & Measurement - Define the North Star metrics, diagnostic framework, and measurement strategy for demand health across the ads system. - Build the operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix; identify emerging risks and opportunities. - Diagnose changes in demand through cohort analysis, decomposition, experimentation, and causal methods, translating findings into clear actions for Sales and Product leadership. Advertiser Performance & Benchmarks - Own the end-to-end view of advertiser outcomes—including delivery, ROAS, conversion performance, retention, and budget efficiency—for individual advertisers and key cohorts. - Establish actionable benchmarks by objective, vertical, advertiser size, geography, maturity, and product adoption, with statistically sound peer comparisons. - Develop early-warning signals and opportunity scoring that help sales teams surface under-delivery, performance risk, and advertiser growth potential. - Set standards for metric definitions, data quality, and interpretation so leaders can separate real marketplace changes from seasonality, selection effects, and measurement artifacts. Insights, Adoption & Advertiser Feedback - Partner with Marketing Science, Sales, and Product to translate analysis into credible advertiser-facing insights, benchmarks, and best practices. - Design measurement plans and experiments that quantify how best-practice and product adoption affect delivery, ROAS, retention, and long-term advertiser value. - Build a systematic feedback loop that converts advertiser input into quantified themes and prioritized product opportunities, then measures whether shipped changes improve outcomes. Strategy, Forecasting & Business Impact - Partner with Ads Sales leadership to segment demand, size opportunities, forecast outcomes, and inform demand strategies, sales plays, and investments. - Partner with Ads Product leadership to estimate advertiser value, prioritize the roadmap, and measure the business impact of product launches. What We're Looking For Required - 7+ years of experience in data science or analytics within an ads platform, marketplace, or performance-oriented B2B business. - Demonstrated business impact through advertiser demand growth, improved delivery or ROAS, stronger retention, or decisions that changed product and sales strategy. - Strong SQL and Python or R, with depth in measurement, experimentation, causal inference, segmentation, benchmarking, and forecasting. - Exceptional cross-functional communication and influence with both sales and product leaders, plus a hands-on approach to ambiguous, 0-to-1 problems. Strongly Preferred - Experience at a high-performing ads business where data scientists work broadly across Sales, Marketing Science, and Product rather than in a narrow silo. - Hands-on familiarity with ad delivery, auctions, measurement, attribution, conversion signals, and the advertiser lifecycle. - Experience turning customer feedback into product priorities and evidence-backed best practices that improve advertiser outcomes. 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.
GRC Program Manager, Assurance Engineering & Contr...
About the Team OpenAI’s Governance, Risk, and Compliance team helps ensure security and privacy are grounded in how our products and systems actually operate. Assurance Operations partners with Security, Engineering, Infrastructure, Product, Privacy, and Legal to make controls provable, risk decisions explicit, and audit readiness a result of well-designed systems. About the Role We are hiring a technical, product-minded GRC builder who can own consequential audits while improving the control and evidence systems behind them. You will build a reusable common control framework, use Codex to automate assurance work, validate changing system scope, and turn repeated audit friction into measurable improvements. We are looking for someone who questions inherited assumptions, solves novel problems creatively, works closely with engineers, and makes the next audit easier by improving the underlying system. You’ll be responsible for: - Lead external, internal, customer, and certification audit work from scoping through evidence review, fieldwork, remediation, and closeout. - Build a common control framework linking risk, control intent, implementation, owner, system, environment, evidence, and applicable frameworks. - Validate actual scope and ownership instead of assuming last year's controls, product boundaries, or evidence remain accurate. - Use Codex to build and test evidence checks, control mappings, request triage, owner workflows, monitoring, and remediation reporting. - Partner with engineers on cloud architecture, identity, logging, data flows, software changes, vulnerabilities, and control effectiveness. - Design maintainable, permission-aware tools that preserve source provenance, human review, and evidence integrity. - Reduce repeated requests and operational burden for control owners through measurable workflow improvements. - Define roadmaps, decision rights, milestones, success metrics, and clear cross-functional escalations. We’re looking for someone with: - Direct ownership of meaningful audit, security, customer-assurance, or regulatory outcomes. - Practical knowledge of control design, evidence, testing, operating effectiveness, and remediation. - Technical fluency across cloud systems, identity, logging, APIs, data flows, and system boundaries. - Ability to use Codex or comparable AI-assisted development tools to build, run, inspect, and test a working solution. - Experience using code, SQL, APIs, structured data, automation, or data workflows to solve an operational problem. - Ability to design reusable cross-framework controls without erasing framework-specific test and evidence requirements. - First-principles curiosity, creative problem solving, intellectual humility, and the ability to update when facts change. - Product and program judgment: define the user, scope, milestones, ownership, adoption, and measurable outcome. - Clear, constructive partnership with Security, Engineering, Infrastructure, Product, Privacy, Legal, and audit teams. - Frameworks such as SOC 2, ISO 27001/27017, PCI DSS, NIST, or FedRAMP are helpful; a specific degree, certification, or prior access to internal OpenAI tools is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Regional Client Partner, Ads Solutions (Mumbai)
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role This role is focused on driving new and expanded advertising revenue in India and ensuring successful business results for advertisers. You will own the full sales cycle — from prospecting to deal closure, developing long-term commercial partnerships to help advertisers achieve their business objectives while ensuring a strong and responsible experience on our platform. You’ll work closely with Customer Success Managers and key cross-functional partners to ensure advertisers achieve successful outcomes after the sale, while maintaining primary ownership of revenue growth and commercial strategy. This role is based in our Mumbai office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution. - Own and achieve a defined revenue target within an assigned territory or vertical. - Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth. - Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback. - Structure and negotiate complex commercial agreements. - Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives. - Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals. - Partner with Customer Success Managers to ensure seamless post-sale transitions and coordinated expansion strategies. - Maintain rigorous pipeline management and accurate revenue forecasting. You might thrive in this role if you: - Have 10+ years of experience in performance marketing, digital marketing, or client-facing strategy and consulting roles. - Have 3+ years of experience as proven advisor influencing executives and clients. - Have experience owning revenue targets and closing complex deals. - Can build structured business cases and influencing senior stakeholders (internally and externally). - Have strong verbal and written communication skills. - Can operate in ambiguous, fast-changing environments. - Understand the client’s business and priorities to define success metrics and align on partnership goals. - Translate analytical insights into compelling commercial narratives. 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.
GTM Strategy & Operations, Professional Services
About the Team OpenAI's Professional Services team helps organizations move from AI ambition to durable production outcomes. We partner with customers on complex deployments and build the strategy, commercial models, operating mechanisms, and delivery capacity needed to realize value from OpenAI's models and products. The team works across Go-to-Market, Forward Deployed Engineering, Technical Success, Finance, Product, Legal, Data, Systems, and delivery partners. We are building a services motion that is customer-centered, commercially rigorous, operationally scalable, and deliberately connected to product adoption. About the Role We are seeking a senior GTM Strategy & Operations professional to build and scale the operating system for OpenAI's Professional Services business. This is a foundational, hands-on individual contributor role at the intersection of business strategy, finance, go-to-market, and delivery. You will turn ambiguous questions—what we offer, how we price and package it, how we plan capacity, and how we measure performance—into clear decisions and repeatable mechanisms. You will own business planning, pricing and packaging, forecasting and modeling, management reporting, and cross-functional strategic initiatives. You will build integrated views of demand, staffing, revenue, margin, and delivery performance; replace one-off analyses with durable processes; and create operating cadences that help leaders act early. You will be a trusted partner to Professional Services, GTM, FDE, Technical Success, Finance, Product, Legal, Revenue Operations, and Data leaders. The right person combines direct Professional Services judgment with rigorous analytics, executive communication, and the willingness to build the model, process, or dashboard themselves. You’ll be responsible for: - Define and drive the business and GTM strategy for Professional Services, including target customer needs, offer portfolio, positioning, pricing and packaging, partner motions, and where to standardize versus tailor delivery. - Own long-range, annual, and quarterly planning for the services business, translating goals into bookings, revenue, margin, capacity, utilization, role mix, geography, hiring, and investment assumptions. - Build and maintain integrated demand, capacity, staffing, and revenue models; develop scenarios and sensitivities; improve bottom-up forecast accuracy; and turn the output into clear executive recommendations. - Design the management system for the business: KPIs, source-of-truth reporting, dashboards, pipeline and staffing reviews, and monthly and quarterly operating cadences. - Improve the end-to-end services lifecycle from opportunity intake and scoping through commercial design, contracting, staffing, delivery, and expansion, partnering with Revenue Operations and Systems rather than duplicating their ownership. - Partner with Finance, Legal, GTM, FDE, Technical Success, and delivery leaders on business cases, services economics, deal tradeoffs, resource allocation, and investment decisions. - Lead ambiguous cross-functional initiatives from problem definition through implementation, creating clear decision rights, mechanisms, and accountability. - Translate recurring customer and delivery patterns into inputs for product strategy, enablement, partner strategy, and more repeatable product-plus-services offerings that accelerate durable product adoption. We’re looking for someone with: - 8+ years of experience in GTM Strategy & Operations, Business Operations, Strategic Finance, management consulting, or a comparable role, including direct experience in a technology Professional Services, implementation, systems-integration, consulting, or managed-services business. - Deep command of services economics and operating levers such as pipeline, bookings, backlog, revenue timing, gross margin, utilization, capacity, staffing mix, delivery quality, and customer outcomes. - Exceptional quantitative modeling skills: you can build auditable demand, staffing, revenue, and scenario models; work fluently in spreadsheets; and use SQL, BI, or other data tools to test assumptions and improve decisions. - Strong commercial and GTM judgment across pricing and packaging, offer design, forecasting, resource allocation, and complex enterprise delivery motions. - A record of turning ambiguous strategy into repeatable operating mechanisms, decision frameworks, reporting rhythms, and measurable results. - Excellent executive communication and influence; you can frame choices, surface assumptions, and drive alignment across technical and non-technical leaders. - Demonstrated leadership of complex cross-functional programs and teams. People-management experience is helpful, but this role is initially scoped as a senior individual contributor. - A low-ego, high-ownership working style, comfort with rapid change, and genuine interest in how frontier AI can create durable customer value. 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.
Business Lead, Special Situations
About the Team OpenAI’s Business organization works with customers and partners on some of our most complex and consequential opportunities. These efforts require rigorous strategy, strong operating leadership, and coordinated execution across commercial, product, technical, deployment, and go-to-market teams. About the Role We are hiring a Business Lead to serve as the operating leader for a strategically important initiative anchored in a major partnership. This person will turn an ambitious, cross-functional mandate into a clear strategy, operating plan, decision structure, and set of measurable outcomes. This role combines strategy and operations, product judgment, commercial skills, and the ability to get things done. You will identify the most promising product and customer opportunities, develop a point of view on how our products should work together, shape the commercial approach, and personally drive execution across both organizations. This is a hands-on role for someone who wants to own outcomes, not just coordinate work. You will structure ambiguous problems, establish priorities, build trusted relationships with internal and external stakeholders, and work across product, engineering, deployment, and go-to-market teams to remove blockers and deliver results. Success means establishing a durable operating model for the initiative, improving decision velocity, translating strategy into coordinated execution, launching a joint go-to-market motion, landing an initial cohort of customers, and delivering a high-quality enterprise deployment. In this role, you will: - Own the initiative’s integrated strategy and operating plan, including priorities, desired outcomes, metrics, owners, dependencies, and decision points - Structure complex and ambiguous business problems, develop fact-based recommendations, and translate them into clear choices and executable plans - Define success measures and build operating reviews that surface progress, risks, tradeoffs, and required decisions - Personally drive the highest-priority initiatives from problem definition through decision, implementation, and measurable outcome - Translate strategic priorities into well-formed commercial, product, technical, deployment, and go-to-market workstreams - Prepare concise executive decision materials and establish clear governance for strategy, resource, economic, and execution decisions - Identify cross-functional dependencies, resolve blockers, and recommend resource or priority tradeoffs when execution is at risk - Build and run a rigorous internal and external operating cadence that creates accountability, decision velocity, and early visibility into risk - Develop trusted, high-accountability relationships across executive, commercial, product, technical, legal, finance, deployment, and partner teams - Stand up a joint go-to-market motion and drive the first cohort of customers from targeting and value proposition through execution - Develop commercial positions and support negotiations across economics, packaging, delivery commitments, and long-term strategic value - Build an informed perspective on how our products should integrate with, complement, or remain distinct from the partner’s products, and translate that perspective into recommendations for Product, Engineering, and deployment teams You might thrive in this role if you have: - Substantial experience in strategy and operations, business operations, general management, strategic initiatives, or another role centered on solving complex business problems and driving execution - A track record as the accountable operator for consequential outcomes—not only as an advisor, planner, or coordinator - Exceptional structured problem-solving skills, including the ability to move from ambiguous questions to clear analysis, recommendations, and action - Strong analytical and business judgment, with experience defining metrics, evaluating tradeoffs, and using data to improve decisions and performance - Excellent program and operating leadership, with a bias toward simple mechanisms that create clarity, accountability, and execution velocity - Clear, concise executive communication and the ability to produce high-quality written plans, recommendations, and decision materials - Strong product judgment and sufficient technical fluency to understand complex product ecosystems, challenge assumptions, and collaborate credibly with technical counterparts - Commercial judgment and experience contributing to negotiations involving economics, packaging, delivery commitments, or long-term strategic value - Exceptional internal and external relationship leadership, including candid communication, conflict resolution, and expectation management - Experience working across company boundaries with partners or customers; a formal business development or partnerships background is not required - High agency, low ego, sound judgment, and a willingness to do the detailed work required to move outcomes forward - Exceptional follow-through in fast-moving environments with incomplete information About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Vendor Manager - SMB Sales
About the Team The SMB Sales team is focused on scaling efficient, high-quality sales execution across a range of commercial motions, including Inbound, Outbound, API Sales, Channel, and SDR. We partner closely with Sales Leadership, Revenue Operations, Finance, Enablement, Program Management, and external vendor partners to build scalable operating models that support growth while maintaining a high bar for performance and customer experience. About the Role As a Senior Vendor Manager, SMB Sales, you will own performance across our outsourced SMB Sales vendor network. This is not a traditional vendor management role. We’re looking for a performance-focused operator who can drive large-scale sales execution through vendor partners, rather than someone primarily focused on vendor relationship management. You will own regional and site-level performance across Tier 1 partners, with responsibility for sales performance, quality, forecasting, governance, operational readiness, and vendor leadership accountability across multiple sales motions. You’ll work at the intersection of Sales Leadership, Revenue Operations, Finance, Enablement, Program Management, and external vendor executives. You will help ensure the machine performs: surfacing issues early, creating accountability, and driving the operating rigor needed to deliver consistently strong outcomes at scale. In this role, you will: - Own regional and site-level performance across revenue, pipeline, conversion, productivity, quality, and other key sales metrics. - Inspect sales funnel health and diagnose whether performance gaps are driven by quality, execution, routing, enablement, staffing, or process issues. - Surface underperformance early, diagnose the underlying drivers, and drive urgency around corrective action. - Build clear corrective action plans with vendor leadership, establish measurable outcomes, and ensure strong follow-through. - Lead Weekly Business Reviews, Monthly Business Reviews, and Quarterly Business Reviews with vendor partners, ensuring governance forums drive decisions, not just reporting. - Build and maintain scorecards that make sales performance, quality, operational health, and risk visible. - Hold vendor leadership accountable for frontline management quality, coaching effectiveness, staffing discipline, and execution rigor. - Own regional adoption of global playbooks, QA frameworks, and operating standards, using quality trends, call reviews, calibration outputs, and conversion analysis to identify opportunities for improvement. - Identify recurring operational failure modes and partner cross-functionally to solve systemic issues while maintaining a high bar for customer experience. - Own forecast quality, pipeline discipline, and risk inspection across assigned regions, building a consistent inspection cadence across motions and partners and pressure-testing vendor forecasts against activity, pipeline, and expected outcomes. - Translate complex operational and performance signals into clear business narratives and recommendations for senior leadership. - Monitor new-hire ramp, certification outcomes, productivity curves, and overall vendor readiness before launching new motions, regions, or major process changes. - Partner with Enablement, Revenue Operations, and Program Management to close readiness gaps and manage capacity against forecasted demand and business priorities. - Help redefine vendor operations for an AI-native sales environment, using automation, AI-enabled workflows, and scalable operating systems to improve seller productivity, forecasting accuracy, quality inspection, execution speed, decision-making, and performance visibility. You might thrive in this role if you: - Have 8+ years of experience in vendor management, sales operations, scaled sales execution, vendor leadership, or commercial operations. - Have direct experience managing outsourced sales or revenue-generating vendor operations. - Have experience working in software, SaaS, cloud, or other high-velocity commercial environments. - Have strong experience working with Tier 1 vendor partners. - Have proven experience owning sales performance across multiple teams, sites, regions, or vendors. - Have a strong understanding of sales funnel metrics, forecasting, conversion, productivity, quality, and operational governance. - Have experience building and running WBRs, QBRs, performance scorecards, and corrective action plans. - Bring strong executive presence and the ability to influence senior internal and external stakeholders. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Enterprise Verticals
About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for a full-stack product engineer who can own ambiguous enterprise workflows end to end: understand a customer problem, shape the product, build across frontend and backend, work through platform dependencies, instrument quality, and learn quickly with design partners. You will build across ChatGPT Work surfaces, services, plugins, connectors, and data or permission boundaries when the experience requires it. You will make quality and rollout observable through evaluations, product and operational signals, and clear fallback or rollback paths. This is a product-engineering role for someone who can move between user problems and system details without losing ownership of either. The strongest candidates will be able to turn specific customer evidence into a generalizable product, explain scope and architecture tradeoffs, and carry a feature from an early prototype through a bounded production rollout. In this role, you will: - Build and ship role-specific workflows across ChatGPT Work surfaces, services, plugins, and connectors. - Turn customer and design-partner evidence into clear product decisions, milestones, and measurable quality gates without overfitting to a single customer. - Partner with Design, Research, GTM, Security, and platform teams. - Create robust evaluations, observability, and rollback paths. - Own the full loop from prototype through bounded rollout and iteration. - Define explicit contracts and fallback paths with shared platform teams when a workflow depends on connectors, permissions, model routing, or other cross-team systems. You might thrive in this role if: - You are a strong product engineer with excellent product judgment. - You are comfortable moving across frontend, backend, APIs, data, and systems integration. - You communicate clearly with customers and cross-functional partners. - You use evidence and tests to make ambiguous work observable. - You care about enterprise permissions, reliability, privacy, and rollout safety. - You have shipped a user-facing product through ambiguity and can explain the decisions, tradeoffs, and evidence behind it. - You can translate a concrete customer workflow into a general product without losing the details that make the first experience useful. Preferred qualifications: - Experience building and operating full-stack production products across a modern frontend stack (such as React/TypeScript) and backend services (such as Python, Go, Node.js, or comparable technologies). - Experience designing evolvable APIs, data models, and distributed or integration-heavy systems, including authentication, identity, permissions, secure data flows, and partial-failure behavior. - Experience owning production systems at scale, including observability, performance, testing, incident response, safe migrations, staged rollout, and rollback. - Experience building applied-AI or conversational products and evaluating probabilistic behavior with grounding, quality signals, and human-feedback loops. - Experience building dashboards, data visualizations, or workflow and insight products that make complex information understandable and actionable. - Familiarity with experimentation, product metrics, and iterative development, including instrumenting user outcomes from first use through retained usage. 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.
Electrical Commissioning Lead
About the Role The Electrical Commissioning Lead owns electrical commissioning planning, readiness, quality coordination, and test execution oversight for the project. This role ensures electrical systems are inspectable, testable, safe to energize, and ready for coordinated functional and integrated systems testing. Reports to the Commissioning Project Lead and partners closely with electrical contractors, equipment vendors, design/engineering teams, the mechanical commissioning lead, controls stakeholders, and vendor field/test engineers. Location: 100% Onsite In Texas or Georgia Key Responsibilities - Develop and maintain the electrical commissioning scope, readiness criteria, inspection strategy, and test execution plan. - Review electrical design packages, specifications, submittals, method statements, sequence assumptions, and testing requirements for commissionability and risk. - Coordinate electrical QA/QC inspections with contractors and vendor field/test engineers, including installation checks, pre-functional readiness, deficiency capture, and closeout tracking. - Own electrical commissioning procedure development and review, including startup, energization readiness, functional testing, failure mode validation, controls interfaces, and integrated systems testing inputs. - Coordinate with equipment vendors on factory/site acceptance requirements, startup support, test prerequisites, documentation packages, and vendor participation during critical tests. - Support energization planning, switching and safety coordination, access sequencing, temporary conditions, witness points, and hold points. - Lead discipline-level review of electrical test results, deficiencies, corrective actions, retest requirements, and acceptance evidence. - Maintain electrical commissioning dashboards and status inputs for the Commissioning Project Lead, including risk items, resource needs, test readiness, and issue aging. - Partner with the Mechanical Commissioning Lead on cross-discipline dependencies, including controls, life safety interfaces, heat load testing, power-to-mechanical coordination, and integrated testing scenarios. - Support turnover by confirming electrical documentation, as-built evidence, test records, and outstanding issue disposition are complete and usable by operations. Qualifications - 8+ years of electrical commissioning, electrical construction, field engineering, startup, testing, or owner representative experience on complex technical infrastructure projects. - Strong knowledge of electrical distribution, backup or standby power systems, grounding and bonding, electrical controls/interfaces, protection concepts, and safe energization workflows as applicable to the project scope. - Experience reviewing commissioning specifications, inspection checklists, functional test scripts, vendor startup procedures, and test reports. - Ability to coordinate field execution across contractors, equipment vendors, QA/QC teams, commissioning partners, and project leadership. - Strong practical judgment around readiness, safety, sequencing, test prerequisites, and risk escalation. - Comfort working in construction environments with evolving schedules and multiple parallel work fronts. - Clear technical writing skills and discipline in maintaining logs, test evidence, issue records, and decision history. - Ability to be present at the project site during critical electrical installation, startup, energization, and testing windows. Preferred Skills - Owner-side or commissioning agent experience on mission-critical, utility-scale, industrial, manufacturing, data center, or other high-reliability facilities. - Professional engineering, electrical license, commissioning credential, or equivalent field qualification. - Experience with integrated systems testing and coordination between electrical, mechanical, controls, and operations teams. - Familiarity with digital issue tracking, commissioning management platforms, schedule tools, and field reporting workflows. - PE license - Commissioning certification eg. QCxP, CxA, BCxP, CCP 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.
Mechanical Commissioning Project Engineer
About the Role The Mechanical Commissioning Lead owns mechanical commissioning planning, readiness, quality coordination, and test execution oversight for the project. This role ensures mechanical systems are installed, inspected, started, balanced, controlled, and tested in a way that supports reliable integrated facility performance. Reports to the Commissioning Project Lead and partners closely with mechanical contractors, equipment vendors, design/engineering teams, the electrical commissioning lead, controls stakeholders, and vendor field/test engineers. Location: 100% Onsite In Texas or Georgia Key Responsibilities - Develop and maintain the mechanical commissioning scope, readiness criteria, inspection strategy, and discipline test execution plan. - Review mechanical design packages, specifications, submittals, method statements, controls narratives, sequence assumptions, and testing requirements for commissionability and risk. - Coordinate mechanical QA/QC inspections with contractors and vendor field/test engineers, including installation checks, pre-functional readiness, deficiency capture, and closeout tracking. - Own mechanical commissioning procedure development and review, including equipment startup, functional testing, controls verification, balancing prerequisites, failure mode validation, and integrated systems testing inputs. - Coordinate with equipment vendors on factory/site acceptance requirements, startup support, test prerequisites, documentation packages, and vendor participation during critical tests. - Support readiness and execution for cooling, ventilation, hydronic, pumping, heat rejection, controls, and other project-specific mechanical systems. - Lead discipline-level review of mechanical test results, deficiencies, corrective actions, retest requirements, trend logs, and acceptance evidence. - Maintain mechanical commissioning dashboards and status inputs for the Commissioning Project Lead, including risk items, resource needs, test readiness, and issue aging. - Partner with the Electrical Commissioning Lead on cross-discipline dependencies, including power availability, controls integration, emergency modes, heat load scenarios, and integrated testing sequences. - Support turnover by confirming mechanical documentation, as-built evidence, test records, trend data, and outstanding issue disposition are complete and usable by operations. Qualifications - 8+ years of mechanical commissioning, mechanical construction, field engineering, startup, testing, balancing coordination, controls verification, or owner representative experience on complex technical infrastructure projects. - Strong knowledge of mechanical system startup, functional performance testing, controls interfaces, cooling or ventilation systems, hydronic systems, and equipment/vendor startup workflows as applicable to the project scope. - Experience reviewing commissioning specifications, inspection checklists, functional test scripts, vendor startup procedures, test reports, and trend evidence. - Ability to coordinate field execution across contractors, equipment vendors, QA/QC teams, commissioning partners, and project leadership. - Strong practical judgment around readiness, safety, sequencing, test prerequisites, performance validation, and risk escalation. - Comfort working in construction environments with evolving schedules and multiple parallel work fronts. - Clear technical writing skills and discipline in maintaining logs, test evidence, issue records, and decision history. - Ability to be present at the project site during critical mechanical installation, startup, controls checkout, functional testing, and integrated testing windows. Preferred Skills - Owner-side or commissioning agent experience on mission-critical, industrial, manufacturing, data center, or other high-reliability facilities. - Professional engineering, commissioning, controls, balancing, or equivalent field qualification. - Experience with integrated systems testing and coordination between mechanical, electrical, controls, and operations teams. - Familiarity with digital issue tracking, commissioning management platforms, schedule tools, trend tools, and field reporting workflows. - PE license - Commissioning certification eg. QCxP, CxA, BCxP, CCP About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Manager, Revenue Recognition - Strategic De...
About the Team OpenAI Finance helps ensure the organization is set up for success in pursuit of its mission of ensuring that artificial general intelligence benefits all of humanity. Within Finance, the Technical Revenue team partners with Product, Strategic Partnerships, Business Development, Growth, Legal, Deal Desk, GTM, Strategic Finance, Revenue Accounting, and Finance Systems to enable scalable, audit-ready monetization. We advise on commercial and contract design, establish defensible accounting positions under ASC 606, and translate those conclusions into repeatable processes, systems, controls, and reporting. About the Role We’re looking for a Senior Manager of Revenue Recognition to lead revenue strategy and technical accounting for OpenAI’s strategic commercial deals. Reporting to the Head of Technical Revenue, you will serve as the primary revenue advisor for large, bespoke, and non-standard deals outside OpenAI’s standard product and service offerings. Your portfolio may include strategic collaborations, cloud marketplaces, platform and distribution deals, licensing and revenue-share models, joint go-to-market initiatives, research collaborations, and other emerging commercial structures. You will engage early in the deal lifecycle to help shape commercially viable, accounting-compliant, and operationally scalable outcomes. You will establish the accounting posture, identify required contract and product terms, define reporting and control requirements, and ensure that deal economics, billing flows, and revenue recognition remain aligned as the business evolves. This role requires strong technical accounting judgment, commercial fluency, executive communication, and the ability to create clarity and ownership in areas where precedent may not yet exist. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own technical revenue accounting for strategic commercial deals, including large, bespoke, and non-standard transactions outside OpenAI’s standard product and service offerings. - Serve as the primary revenue advisor for strategic collaborations, cloud marketplaces, platform and distribution deals, licensing and revenue-share models, and other emerging commercial structures. - Partner early with Strategic Partnerships, Product, GTM, Strategic Finance, Legal, Deal Desk, and Tax to understand and influence deal economics, pricing, contract terms, and operational design. - Evaluate complex and ambiguous transactions under ASC 606, including principal-versus-agent considerations, gross-versus-net presentation, performance obligations, variable consideration, contract combinations, commitments, credits, incentives, and related-party considerations. - Translate technical conclusions into practical commercial guardrails and establish clear intake, escalation, and decision-making frameworks for material deals and amendments. - Define the data, reporting, billing, settlement, reconciliation, and control requirements needed to operationalize new commercial models and support accurate revenue recognition. - Draft audit-ready technical accounting memos and policies, lead discussions with external auditors, and clearly communicate conclusions and trade-offs to senior stakeholders. - Manage and develop team members and external resources, prioritize concurrent high-value deals, and strengthen the team’s ability to influence commercial decisions proactively. You might thrive in this role if you have: - 10+ years of technical revenue accounting or related advisory experience, with deep ASC 606 expertise and experience leading complex workstreams or teams. - Significant experience supporting large, bespoke commercial deals, strategic collaborations, cloud marketplaces, platform distribution, licensing, revenue-share models, or other multi-party transactions. - A track record of influencing commercial strategy, pricing, product design, and contract terms before launch or signature. - Experience navigating emerging monetization models such as advertising revenue, marketplaces/commerce platforms, or other multi-sided ecosystems is a strong plus. - Strong command of principal-versus-agent analysis, gross-versus-net presentation, variable consideration, consideration payable to a customer, contract combinations, and complex performance-obligation assessments. - A track record of influencing commercial strategy, pricing, product design, and contract terms before launch or signature. - Experience translating evolving commercial models into scalable billing, accounting, reconciliation, reporting, systems, and control requirements. - Strong commercial judgment and executive communication skills, with the ability to explain complex accounting issues and practical trade-offs to senior non-accounting stakeholders. - Demonstrated success establishing ownership, governance, and repeatable processes in ambiguous, rapidly changing environments while developing team members and managing external resources. - CPA strongly preferred; a mix of Big 4 (or accounting advisory) and tech industry experience in high-growth environments is highly valued. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer - Data Aquisition (systems)
About the Team This team builds and operates the systems that enable OpenAI researchers to run reliable, scalable, and efficient research workflows. The team sits close to research and works across infrastructure, systems, and automation to make sure researchers have the tools and environments they need to move quickly. The work spans software engineering, infrastructure, systems administration, cluster operations, and reliability engineering. As OpenAI’s infrastructure evolves from bespoke bare-metal systems toward more standard, scalable platforms, the team needs engineers who can understand how systems work end-to-end and build the right abstractions without reinventing the wheel. About the Role As a Software Engineer on this team, you will build and operate the infrastructure that supports frontier research and critical research-facing systems. You will work on systems that sit close to the metal, but the role is not limited to classic operations or sysadmin work. We are looking for someone who can reason about networking, bootstrapping, Kubernetes, scalability, automation, and reliability - while also writing software to make these systems better over time. This role is a strong fit for an independent, high-ownership engineer who enjoys reliability-heavy infrastructure work but still wants to build. You do not need to come in as a kernel expert or highly algorithmic optimization engineer, but you should be deeply curious about infrastructure, comfortable debugging complex systems, and excited to support researchers doing novel work. We expect you to: - Build and operate reliable infrastructure for research workloads and research-facing services. - Support and improve systems across data infrastructure, processing, crawl and ingest, caching, search, observability, and clusterwide services. - Improve cluster bootstrapping, provisioning, automation, and deployment workflows. - Debug issues across networking, compute, storage, orchestration, and service reliability layers. - Build software and automation that reduce manual operational work and improve system reliability. - Partner closely with researchers, infrastructure engineers, and service owners to understand system needs and translate them into durable solutions. - Help evolve existing infrastructure toward more scalable, maintainable, and standard patterns. - Take ownership of critical systems and drive work independently from problem definition through execution. You might thrive in this role if you: - Have strong systems fundamentals and understand how infrastructure scales in practice. - Are comfortable with Linux, networking, Kubernetes, provisioning, and distributed systems operations. - Can write software to automate, debug, and improve infrastructure systems. - Have a strong execution mindset and can independently drive ambiguous infrastructure work. - Enjoy supporting a wide surface area of systems, from research tooling to platform services. - Are pragmatic about when to build custom systems versus using existing, well-supported tools. - Care about building reliable systems that make researchers faster and reduce operational friction. Nice to have: - Experience with PXE boot, cluster provisioning, bare-metal infrastructure, or large-scale fleet management. - Experience operating Kubernetes or similar orchestration systems at scale. - Experience with infrastructure-as-code, CI/CD, observability, or deployment automation. - Experience supporting search infrastructure, data platforms, ingest systems, or large-scale research workflows. - Experience with Git-based workflows and internal developer tooling. - Prior experience in environments where reliability, scale, and speed all matter. 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.
Applied AI Software Engineer, GTM Growth Engineeri...
About the Team GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness. We apply OpenAI models to real business workflows and build the systems that make those applications useful and dependable: customer context, agent behavior, feedback, evaluation, experimentation, and appropriate human oversight. Our work brings together software engineering, applied AI, product, data, and GTM operations. We measure success through the quality of customer engagement, pipeline, conversion, and the effectiveness of our sales and marketing teams. About the Role We're looking for an Applied AI Engineer to build production systems that help AI-powered go-to-market workflows improve over time. You will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs. This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understand production behavior, identify failure modes, improve how the system decides or acts, and validate the resulting impact. You will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to turn real-world signals into safer, more effective agent behavior and measurable improvements in customer engagement, conversion, qualified pipeline, and team productivity. In this role, you will: - Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes. - Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context. - Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows. - Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design. - Design and ship targeted behavior improvements, including changes to prompting, context construction, decision logic, tool use, and human-review paths. - Build backend services, APIs, data models, and feedback pipelines that make agent behavior observable, steerable, and reproducible. - Run controlled experiments, production replays, or staged rollouts to measure whether changes improve quality and downstream business results. - Partner with Product, Data Science, Sales, and B2B Marketing to prioritize high-value problems and define customer and business success. - Ship with appropriate safeguards for privacy, security, reliability, human oversight, and safe operational rollout. You might be a great fit if you have: - 4+ years of software, backend, applied AI, or product-engineering experience building reliable production systems. - Experience building AI agents, LLM-powered applications, or other model-driven workflows that operated on real production traffic. - Experience diagnosing and improving agent behavior using production traces, user feedback, evaluation, experimentation, or careful systems design. - Practical experience with evaluation design, regression testing, human or model grading, online quality signals, or controlled experiments. - Strong backend engineering skills across Python, APIs, data pipelines, stateful workflows, and production services. - Strong product judgment and the ability to connect technical changes to customer experience, conversion, qualified pipeline, or operational efficiency. - Comfort working across model behavior, context, knowledge, tools, workflow state, and human-in-the-loop decisions. - The ability to work closely with technical and non-technical partners across Engineering, Product, Data Science, Sales, and B2B Marketing. - A pragmatic mindset: you can scope ambiguous problems, ship useful improvements, and build toward a durable system. You Might Thrive If - You want to build AI systems that improve from real usage instead of stopping at a successful prototype. - You enjoy tracing messy production failures back to the decision, context, tool interaction, or workflow issue that caused them. - You think evaluation is valuable when it helps teams make better product decisions and improve real outcomes. - You are comfortable moving between applied AI, backend engineering, experimentation, and product judgment. - You like partnering with operators, sales teams, and marketers to understand the work your systems need to improve. - You can move from an ambiguous problem to a focused experiment, measured result, and durable implementation. - You care about trustworthy deployment, clear human-review paths, and reliable production systems. Nice to Have - Experience building agent evaluation, observability, experimentation, or AI infrastructure products. - Experience with production replay, LLM grading, human-labeled datasets, shadow evaluation, or staged rollout. - Experience improving model or agent behavior through context design, prompting, tools, decision logic, or feedback loops. - Experience with sales, B2B marketing, revenue, CRM, campaign, or other GTM-facing systems. - Experience measuring customer engagement, qualified pipeline, conversion, or operational efficiency. 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.
Early Access Deployment Engineer
About the Team The Early Access Program (EAP) team leads high-impact alpha programs at the intersection of customers, Product, Research, Engineering, GTM, Security, Legal, and launch teams. We partner with customers to test emerging capabilities with real-world use cases, surface actionable insights, and support launch decisions. Our team is made up of builders who learn quickly, collaborate deeply, create clarity in ambiguity, communicate openly, and iterate constantly. About the Role We’re hiring an Early Access Deployment Engineer to lead technical engagements with customers who are leveraging our frontier capabilities to solve real-world use cases. You will work at the earliest—and often messiest—stage of development, when capabilities are still unclear, tooling and processes are evolving, and the path from promising technology to a valuable real-world application has yet to be defined. You will be a hands-on builder, problem solver, and technical partner to customers and our research/product team. You’ll push beyond initial assumptions, identify high-value use cases, prototype solutions, design useful evaluations, and troubleshoot what is and is not working. Managing multiple customer engagements at once, you will help customers navigate ambiguity and difficult technical decisions while translating their experience into clear, actionable feedback for Research and Product. You will also own the end-to-end execution of early access programs—from onboarding customers, supporting live experimentation, synthesizing findings, and informing launch decisions. You’ll collaborate deeply with Research, Product, Engineering, Applied Evals, GTM, Legal, Security, Marketing, and other launch partners to create clarity, manage risk, and keep programs moving through changing conditions. Success in this role means turning frontier capabilities into real-world customer value and high-quality research signals. You will develop reusable technical approaches from early deployments, improve how OpenAI learns from customers, and provide strong PoV, based on customer feedback, on what should be built, refined, or scaled. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Engage deeply with strategic customers during the earliest alpha stages to understand their goals, workflows, technical constraints, and highest-value opportunities. - Translate emerging and ambiguous model capabilities into scoped use cases, working prototypes, and clear success criteria. - Prototype rapidly with customers, Product, and Research through experiment-driven iteration. - Design and support evaluations that reveal model behavior, solution quality, workflow impact, and failure modes. - Evaluate and troubleshoot based feedback across product, model behavior to determine patterns and gaps - Own early access program execution end to end, from customer onboarding and live experimentation through synthesis and launch decisions. - Align Research, Product, Engineering, GTM, Legal, Security, Marketing, and launch teams by communicating risks, tradeoffs, and recommendations clearly. - Codify architectures, evaluation methods, technical patterns, and program learnings into reusable playbooks that improve future deployments. You might thrive in this role if you: - Have 4+ years of software engineering or equivalent technical experience, including meaningful customer-facing delivery and ownership of production systems. - Have a track record of rapidly turning ambiguous ideas into working prototypes and carrying the strongest approaches through to reliable solutions. Can demonstrate examples of systems thinking. - Be proficient in Python and/or JavaScript or TypeScript, comfortable across modern front-end and back-end development, and familiar with cloud deployment. - Bring practical AI and LLM depth, including experience reasoning about model behavior, designing evaluations, and building production-oriented AI applications. - Exercise strong product and customer judgment by identifying the highest-value problem, scoping the right experiment, separating signal from noise, and balancing speed with technical integrity. - Own problems end to end, learn unfamiliar technical or domain concepts quickly, and impose useful structure without waiting for perfect information. - Manage several high-stakes technical engagements at once while anticipating blockers, adapting plans, and maintaining momentum across customers and internal teams. - Communicate complex ideas with clarity and empathy, challenge assumptions constructively, and build trust with technical and non-technical stakeholders. 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.
Travel Security Manager - APAC
About the Team The Corporate Security team supports the safety, security, and resilience of OpenAI employees globally. The Travel Security function helps employees travel safely and confidently while enabling business activity in a complex and fast-changing operating environment. About the Role As Travel Security Manager, APAC, you will own the regional delivery and continued development of OpenAI's travel security program across Asia-Pacific. You will support the full travel risk management lifecycle, from pre-travel assessment and preparation through active-trip monitoring, incident response, traveler accountability, and post-incident learning. Reporting to the Global Travel Security Manager, you will be the regional lead for travel security matters across APAC. You will work closely with Corporate Security, Protective Intelligence, Finance, People, Legal, Immigration, Global Mobility, Communications, Information Security, and external providers. This is a hands-on role for a seasoned travel security professional. You will independently manage complex cases, advise leaders on risk-based travel decisions, support travelers during incidents and crises, and build scalable regional processes. Broad APAC experience is important, and deeper operating experience in East Asia is particularly valuable. Travel across APAC and occasionally to other regions is expected to comprise approximately 25% of the role. In this role, you will: - Own day-to-day travel security operations across APAC, including high-risk travel reviews, traveler briefings, monitoring, escalation, incident response, and traveler accountability. - Produce clear, intelligence-led risk assessments, advisories, decision briefs, and practical mitigation options for employees and senior stakeholders. - Work with intelligence analysts and external providers to monitor geopolitical, security, health, environmental, and transport risks and turn changing information into timely operational decisions. - Lead the travel security response to medical emergencies, security incidents, natural disasters, civil unrest, airspace or transport disruption, and other events affecting travelers. - Maintain regional procedures, playbooks, decision triggers, communications, training, exercises, and after-action reviews. - Support company events, strategic meetings, executive travel, and other business activity requiring coordinated travel security planning. - Manage travel risk, medical and security assistance, intelligence, secure transport, and other specialist providers, including service quality, escalation paths, and performance reviews. - Use travel management, traveler tracking, mass communication, intelligence, and case-management tools effectively, with close attention to booking-data quality, privacy, access, and operational resilience. - Partner with travelers and business teams to deliver proportionate security measures that are clear, practical, and sensitive to the traveler experience. - Use metrics, operational reviews, automation, and carefully governed AI tools to improve service quality, consistency, speed, and scale. You might thrive in this role if you have: - 8+ years of directly relevant experience in corporate travel security or travel risk management, including recent ownership of a regional or global program. This role requires depth in travel security experience. - Demonstrated end-to-end ownership of travel security operations, including risk assessment, pre-travel preparation, high-risk travel, active-trip monitoring, traveler tracking, emergency assistance, incident response, and crisis support. - Substantial operating experience across multiple APAC subregions and the judgment to adapt global standards to different legal, cultural, infrastructure, and risk environments. - Proven experience leading significant traveler incidents and supporting complex, fast-moving crises involving incomplete information and multiple stakeholders. - Strong analytical skills and experience translating intelligence into clear recommendations, decision points, traveler communications, and operational actions. - Hands-on experience with travel management data, traveler tracking or mass communication platforms, medical and security assistance services, intelligence tools, and related workflows. - Experience managing external providers and working effectively across global, cross-functional, and geographically distributed teams. - Excellent written and spoken English, with the ability to brief senior leaders and communicate calmly and clearly with travelers under pressure. - Sound judgment, discretion, and the ability to operate independently while knowing when and how to escalate. Nice to have: - Deeper operating experience in East Asia, or professional capability in an additional APAC language. - Experience applying ISO 31030 or a comparable travel risk management framework. - Practical experience using data, workflow automation, or AI-assisted tools to improve travel security operations, with appropriate validation and human oversight. Workplace & Location - This role is based in Singapore. Regional and international travel is required and is expected to comprise approximately 25% of the role. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Webinar & Digital Events Strategist
About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. About the Role Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. We’re looking for a Senior Webinar & Digital Events Strategist to redefine webinars and digital experiences as a high-quality demand channel. You’ll own audience strategy, portfolio design, programming principles, conversion paths, and performance recommendations while partnering closely with a Webinar Marketing Manager on production and delivery. This is a hands-on role for a strategic operator who can create compelling experiences and build the pre-event, live, and post-event systems required to turn engagement into qualified demand. In this role, you will: - Owning the webinar and digital events strategy, including audience priorities, portfolio architecture, editorial themes, formats, calendar, investment decisions, and success measures. - Designing experiences for specific buyer needs and journey stages, with a clear value exchange, CTA, follow-up path, and connection to broader campaigns. - Partnering with Product Marketing, Content, speakers, customers, and subject-matter experts to create differentiated programs that make complex AI topics useful and concrete. - Working closely with the Webinar Marketing Manager and production partners to translate strategy into clear briefs, run-of-show requirements, launch plans, QA, and delivery standards. - Building integrated pre- and post-event motions across paid, email, web, social, SDR, Sales, and account-based channels to reach the right audiences and sustain momentum. - Establishing qualification, routing, seller context, and follow-up expectations so high-intent engagement receives timely and relevant action. - Defining measurement across audience quality, registration-to-attendance, engagement, CTA behavior, qualified leads, account progression, pipeline, and content reuse. - Using performance data and audience feedback to improve the portfolio, retire low-value formats, and create reusable programming and activation playbooks. You might thrive in this role if you have: - 10+ years of experience across B2B webinars, digital events, experience marketing, content programming, or integrated campaigns, ideally within a complex or technical category. - A track record of building programs that create qualified demand and pipeline—not simply registrations, attendance, or engagement. - Strong understanding of audience strategy, programming, speaker development, digital attendee journeys, promotion, production, follow-up, and measurement. - Experience leading complex cross-functional programs with executives, subject-matter experts, customers, agencies, technical partners, and sales teams. - Excellent editorial judgment and the ability to translate sophisticated ideas into clear, compelling audience experiences. - Strong analytical discipline and comfort using audience, engagement, conversion, and pipeline data to make portfolio and investment decisions. - The ability to balance strategic planning with hands-on problem solving in high-visibility, fast-moving environments. - Genuine curiosity about AI and its potential to improve experience design, content workflows, audience intelligence, and personalization. Workplace & Location This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Government Partnerships Communications Lead
About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team includes External Communications, Internal Communications, and other strategic communications functions. The team's role is to clearly and authentically explain our technology, values, and approach to safely building powerful AI. About the Role We are seeking an exceptional communications professional to lead communications support for OpenAI's partnerships with federal, state, and local governments and our broader public-sector enterprise work. This person will help tell the story of how governments are using AI, support major customer and partner moments, and communicate about government work happening across priority areas including cybersecurity, biodefense, national security, science. This role will partner closely with public-sector go-to-market and partnerships, Global Affairs, legal, product, research, safety, and security teams to develop clear external communications for the public, media, policymakers, and customers. The ideal candidate will bring strong strategic and tactical communications judgment, move quickly and collaboratively on complex issues, and have a passion for technology and storytelling. In this role, you will: - Developing and executing communications plans that educate press, policymakers, customers, and the public about OpenAI's government partnerships and public-sector work - Building proactive campaigns and customer stories that demonstrate how AI can improve public services, strengthen government workforces, and support critical missions - Supporting communications across priority areas including cybersecurity, biodefense, national security, science, and science. - Building deep relationships with national, state, local, technology, policy, and enterprise media and managing inbound requests - Partnering cross-functionally with Global Affairs, public-sector go-to-market, legal, product, research, safety, security, and other teams - Providing counsel and communications support to senior leaders and partners across interviews, speeches, events, and other public moments - Anticipating communications risks and developing thoughtful mitigation and response strategies You might thrive in this role if you have: - 7+ years of professional communications and media relations experience, including work on government, enterprise technology, national security, cybersecurity, biodefense, or other highly scrutinized issues - A strong track record of driving media campaigns in support of policy, partnership, or business priorities - Experience translating complex technical and policy work into clear, credible external narratives - Proven success building relationships and collaborating with press, executives, government partners, and cross-functional teams - Strong political and policy judgment, high ownership, and comfort operating quickly in an environment with limited structure Workplace & Location This role is based in Washington, DC, and will require occasional travel. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Manager, Revenue Accounting, Ads
About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This senior leader will own key elements of Ads revenue accounting from technical assessment through operational execution. The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions. It will establish governance and translate approved accounting positions into launch, billing, data, close, reconciliation, and control requirements. Success requires deep technical revenue expertise, strong business partnership, and the ability to build durable 0-to-1 processes in a fast-changing environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation. - Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change. - Establish governance for new products and accounting decisions, including intake, decision rights, materiality and escalation thresholds, launch approvals, policy versioning, decision logs, and post-launch monitoring. - Translate accounting conclusions into clear requirements for product design, contracting, billing, data, estimates, close, reconciliations, controls, and reporting. - Own the operating cadence for incentive and makegood accounting, invoice readiness, accruals and reserves, settlements, reconciliations, GL tie-outs, flux analysis, reporting, and control evidence. - Partner with Ads Product, Engineering, Data, Finance Engineering, Sales, Deal Desk, Legal, Tax, Billing, and Technical Accounting on launches, enterprise negotiations, and international expansion. - Prepare concise technical memos and audit-ready support; align novel or material conclusions with Corporate Technical Accounting and external auditors. - Use data, AI, and automation to improve research, monitoring, policy maintenance, issue tracking, documentation, and repeatable Finance workflows with appropriate review controls. You might thrive in this role if you have: - 10+ years of progressive experience in revenue accounting, including direct ownership of complex ASC 606 judgments and operational execution. - Demonstrated leadership to independently set direction, prioritize across competing risks, and influence senior cross-functional stakeholders. - Experience with digital advertising, adtech, marketplaces, payments, usage-based services, or another high-volume transaction environment. - Strong command of variable consideration, principal-versus-agent, contract modifications, incentives and credits, collectibility, estimates, and revenue presentation. - Track record building 0-to-1 accounting processes, governance, close mechanisms, reconciliations, and controls that scale. - Ability to turn technical conclusions into practical product, contract, billing, data, and operating requirements. - Clear, concise written and executive communication, including audit-ready documentation and evidence-based recommendations. Preferred Qualifications: - Experience supporting global launches, multiple currencies, international contracting entities, intercompany considerations, or localized billing models. - Experience applying AI or automation within Finance while maintaining review, validation, and control standards. - Experience partnering closely with Product, Engineering, Data, or Finance systems teams. - Experience developing or leading high-performing accounting teams or distributed operating groups. - Background in public-company controllership, technical accounting, audit, or similarly rigorous control 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.
Software Engineer, Privacy Engineering (Lawful Acc...
About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: - Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. - Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. - Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. - Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. - Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. - Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. - Help define the architecture and roadmap for reusable privacy and legal-infrastructure foundations as OpenAI’s products and obligations evolve. You might thrive in this role if you: - Have experience building or operating systems for lawful data access requests and understand the domain’s legal-process lifecycle, privacy and security constraints, auditability requirements, and operational sensitivities. - Strong backend engineering fundamentals and experience building production services or data-intensive systems. - Ability to reason carefully about correctness, authorization, security, and privacy when working with sensitive data. - A track record of turning ambiguous requirements into pragmatic plans and communicating technical tradeoffs clearly. - End-to-end ownership, including operating what you build, and comfort learning unfamiliar products and domains. - Care for operator experience and a drive to make complex workflows safer, clearer, and more efficient. - Experience collaborating across Engineering, Legal, operations, Privacy, and Security stakeholders. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Privacy Engineering (Lawful Acc...
About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: - Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. - Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. - Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. - Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. - Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. - Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. - Help define the architecture and roadmap for reusable privacy and legal-infrastructure foundations as OpenAI’s products and obligations evolve. You might thrive in this role if you: - Have experience building or operating systems for lawful data access requests and understand the domain’s legal-process lifecycle, privacy and security constraints, auditability requirements, and operational sensitivities. - Strong backend engineering fundamentals and experience building production services or data-intensive systems. - Ability to reason carefully about correctness, authorization, security, and privacy when working with sensitive data. - A track record of turning ambiguous requirements into pragmatic plans and communicating technical tradeoffs clearly. - End-to-end ownership, including operating what you build, and comfort learning unfamiliar products and domains. - Care for operator experience and a drive to make complex workflows safer, clearer, and more efficient. - Experience collaborating across Engineering, Legal, operations, Privacy, and Security stakeholders. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Monetization Data Systems
About the Team The Monetization Data Systems team builds the trusted data and product systems that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the Role We are looking for a Senior Software Engineer to design and build the next generation of our monetization data platform. You will own high-impact platform systems end to end, from architecture and implementation through testing, deployment, observability, and ongoing operation. This is a hands-on role for an engineer who enjoys solving ambiguous customer and business problems, designing durable systems, and partnering closely with Product, Data, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into reliable, scalable product experiences and platform capabilities. In this role, you will: - Design, improve, and operate reliable, scalable backend services that power pricing, billing, ads, payments, entitlements, and other monetization platform capabilities. - Own the architecture and implementation of critical workflows relevant to monetization data, data contracts, and integrations across product and business systems. - Establish strong guarantees for correctness, availability, security, performance, reconciliation, and auditability across business-critical systems. - Build reusable platform capabilities and developer tools that enable product teams to launch, measure, and iterate on monetization products quickly and safely. - Partner with Product, Design, Data, Finance, Accounting, and GTM teams to translate customer and business needs into robust technical solutions. - Lead the technical design and delivery of complex, cross-functional projects, using clear system designs and RFCs to align partners before implementation and making sound tradeoffs among product velocity, scalability, reliability, and maintainability. - Improve the observability and operational excellence of critical services, including monitoring, incident response, root-cause analysis, capacity planning, and long-term remediation. - Mentor other engineers, contribute to architecture and code reviews, write clear documentation, and share knowledge across teams to elevate the broader engineering organization. You might thrive in this role if you: - Possess a minimum of 7+ years of professional software engineering experience with deep experience building and operating production software systems, backend services, or distributed systems at scale. - Are highly proficient in at least one general-purpose programming language such as Go, Java, Python, Rust, or C++, with strong computer science fundamentals. - Have strong fundamentals in API design, data modeling, storage systems, distributed systems, and event-driven architecture. - Have designed systems with rigorous correctness, reliability, observability, security, privacy, or access-control requirements. - Can collaborate with cross-functional partners to identify needs, navigate ambiguity, and drive progress from problem definition through delivery. - Bring a product-oriented mindset and communicate clearly with technical and non-technical partners, translating customer and business problems into simple, scalable system designs. - Care deeply about correctness and operational reliability while maintaining a practical bias toward delivering customer and business value. - Bring a strong sense of engineering excellence, using clear thinking, sound judgment, and a design-before-implementation approach to create maintainable systems. - Command strong sense of engineering excellence, contribute to a design-before-implementation approach with clear documentation, and knowledge sharing across teams to elevate the broader engineering organization. Nice to have: - Experience with monetization, pricing, billing, ads, payments, entitlements, subscriptions, or other financial products. - Familiarity with financial correctness, reconciliation, compliance, or audit requirements. - Experience with high-scale distributed systems, transactional workflows, event streaming, or payment infrastructure. - Experience building internal platforms, shared frameworks, APIs, or developer tooling used by other engineering teams. - Monetization or finance domain experience is helpful but not required. We value strong software engineering judgment, systems thinking, and the ability to learn a complex domain quickly. 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.
Growth - Lifecycle Lead
About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Lifecycle Lead to build the company-wide owned-channel capability that helps teams reach users with relevant, timely, and trustworthy experiences. This senior, hands-on leader will set the lifecycle strategy, partner with Engineering to build the orchestration and deployment platform, and establish the operating model that allows teams across the company to launch and improve evergreen programs safely at scale. You will sit at the intersection of platform, product, and campaign strategy. You will partner with Engineering, Product, Data Science, and Analytics on the underlying systems, and with Product Marketing Managers and other client teams to design journeys that help new, active, and returning users reach value and build durable habits. In this role, you will: - Partner with product to set the company-wide vision, roadmap, and operating model for lifecycle and owned-channel engagement. - Partner with Engineering, Product, Data Science, and Analytics to shape the tooling and infrastructure for identity, audiences, eligibility, consent, triggers, orchestration, decisioning, frequency, experimentation, localization, quality assurance, and observability. - Define scalable deployment workflows—including self-service and centrally supported paths, intake, templates, approvals, governance, service levels, and incident response—so teams across the company can launch safely and efficiently. - Partner with Product Marketing Managers and other client teams to translate audience, product, and business goals into evergreen journey strategies across onboarding, activation, continuation, retention, resurrection, and monetization. - Lead the design, launch, iteration, and optimization of templates and journeys across email, push, and in-product messaging, including the deep-linked landing and post-click product experiences that complete the loop. - Partner with Growth DS to build a measurement system that connects reach, eligibility, delivery, engagement, landing behavior, task completion, retained activity, and incremental value through sound experiments and holdouts. - Optimize the lifecycle portfolio—not just individual sends—by improving inventory, relevance, personalization, prioritization, and per-user frequency. - Inform our owned channel / upsell strategy–establish a high bar for deliverability, user preferences, localization, and operational quality, and trust while influencing senior stakeholders across the company. You might thrive in this role if you have: - 10+ years of experience in lifecycle, CRM, retention, growth, product marketing, or marketing technology, ideally in a global consumer or subscription business. - A track record of building and scaling lifecycle tooling or platforms with Engineering for multiple teams, products, audiences, or markets. - Strong technical and product fluency across event and identity models, data pipelines, APIs, segmentation, triggering, decisioning, experimentation, and deployment systems; coding experience is not required. - Deep campaign and journey craft, with experience designing evergreen programs that move users from message to product value and durable behavior. - Strong experimentation and measurement judgment, including incrementality, holdouts, cohort quality, retention, and lifetime value—not just delivery or click metrics. - Experience creating operating models, governance, templates, and quality standards that increase organizational velocity without creating channel chaos. - Executive-level cross-functional influence and clear communication across Engineering, Product, Data Science, Analytics, PMM, Creative, Legal, Privacy, and regional teams. - A hands-on, systems-oriented leadership style: you can set a multi-year direction, write the brief, inspect the journey, diagnose failures, and make pragmatic tradeoffs in a fast-moving environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Lifecycle Strategist
About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. About the Role Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. We’re looking for a Senior Lifecycle Strategist to define how prospects and customers move through personalized, signal-driven journeys across the B2B lifecycle. You’ll own lifecycle strategy, audience and journey architecture, testing priorities, and performance recommendations while partnering closely with a Lifecycle Marketing Manager on build and delivery. Initially, the role will focus on prospect nurture, database activation, and sales handoff; over time, it will help expand our lifecycle capabilities across adoption, cross-sell, upsell, retention, and re-engagement. In this role, you will: - Define the B2B lifecycle strategy, journey architecture, audience framework, communication principles, and roadmap across prospect and customer stages. - Design nurture and activation programs that respond to fit, persona, segment, product interest, engagement, intent, and sales status rather than relying on one generic journey. - Partner with RevOps, Data, Web, SDR, Sales, and Product teams to establish reliable triggers, scoring inputs, routing logic, suppression rules, exits, and service levels. - Work closely with the Lifecycle Marketing Manager to translate strategy into clear program requirements, content needs, build plans, QA standards, and launch sequencing. - Own the lifecycle experimentation agenda across segmentation, messaging, cadence, content, channel, triggers, and CTAs, using results to continuously improve journeys. - Develop the measurement framework across reachable audience, engagement quality, progression, conversion, velocity, pipeline, adoption, retention, and incremental impact. - Improve database health and addressability by partnering on acquisition quality, enrichment, consent, deliverability, governance, and audience hygiene. - Build durable lifecycle playbooks and governance that balance personalization, operational simplicity, customer trust, and scalable execution. You might thrive in this role if you have: - 10+ years of experience in B2B lifecycle, CRM, retention, growth, or marketing automation, with ownership of complex, multi-stage customer journeys. - Deep knowledge of segmentation, nurture, personalization, automation, experimentation, deliverability, consent, and lifecycle measurement. - Hands-on fluency with enterprise marketing automation and CRM concepts; Marketo and Salesforce experience is valuable, though strong equivalent experience is welcome. - A track record of improving meaningful business outcomes such as qualified conversion, activation, pipeline, adoption, retention, or expansion. - Strong systems thinking and the ability to translate customer and business needs into decision rules, journey logic, and clear execution requirements. - Excellent partnership skills across technical, analytical, creative, sales, and customer-facing teams. - Comfort working through imperfect data and evolving processes while building toward a more reliable and scalable operating system. - Genuine curiosity about AI and how it can improve personalization, decisioning, content adaptation, analysis, and operations without compromising customer trust or quality. Workplace & Location This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
AI Support Engineer - Singapore
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully fluent in English (spoken and written). Please note that your resume must be submitted in English , and the interview process will be conducted in English. You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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.
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