Lead Technology Enablement Program Manager in United States

About the Role The Mechanical Commissioning Project Engineer 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. 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 E

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 Accounting 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 accounti

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 account

About the Team The Corporate Security team is responsible for safeguarding all OpenAI employees and executives. Our mission is to create a secure, resilient environment that allows our teams to focus on their work without risk or disruption. We manage physical security operations across offices, events, and global initiatives, partnering closely with internal teams and external agencies to stay ahead of emerging threats. About the Role As the Corporate Security Operations Manager based in Mountain View, you will own day-to-day site security operations and help develop practical physical-security strategies, policies, and procedures. You will lead vendor-managed armed and unarmed security teams, partner cross-functionally, and serve as a key liaison with local law enforcement and security partners. This is a hands-on site-operations and guard-force leadership role, not primarily an executive, investigative, or policy-leadership position. The role typically requires 4-5 days in the office each week. In this role, you will: Office Security: Develop, implement, and manage practical physical-security measures, including policies, training, and vendor relationships, to protect employees and visitors across the Mountain View site and nearby facilities. Operational Management: Own the day-to-day performance of vendor-managed armed and unarmed security teams across shifts and locations. Set clear operational expectations and ensure security personnel understand and consistently follow company policies, post orders, and procedures. Monitor security practices, identify operational risks, and drive timely, practical mitigation and remediation. Coordinate with Workplace, Facilities, building management, law enforcement, and other internal and external partners to maintain a cohesive security posture. Support broader Corporate Security operations as needed. Support or lead security operations for on-campus events. Serve as the primary point of contact for VIP and government-guest

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 Mid-Market & SMB Strategist to own demand strategy for two high-velocity segments with distinct customer needs, buying journeys, and sales motions. You’ll translate segment goals into an integrated portfolio of programs, identify the highest-leverage opportunities to improve conversion and pipeline, and align channel teams and GTM partners around a shared audience, message, handoff, and measurement plan. This is a hands-on role for someone who combines strong strategic segmentation with a practical, test-and-learn operating mindset. In this role, you will: Own the Mid-Market and SMB demand strategy, including segment priorities, audience definitions, pipeline goals, program portfolio, investment recommendations, and quarterly roadmap. Translate segment insights into integrated campaigns and always-on journeys across web, email, paid media, webinars, content, partners, and sales-assisted follow-up. Partner with Product Marketing and Sales to define ideal customer profiles, buyer needs, priority use cases, value propositions, and offers for each segment. Work with Web, Lifecycle, RevOps, SDR, and Sales to improve high-intent conversion paths, qualification, routing, speed-to-lead, and follow-up quality. Build a disciplined testing agenda ac

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling novel and consequential legal issues in AI. The commercial infrastructure legal team supports the systems and facilities that make advanced AI possible, including compute, first-party silicon, colocation, and first-party data center development. About the Role We’re seeking a senior commercial infrastructure lawyer to lead legal work across our rapidly growing data center development and colocation portfolio. You will advise on complex, high-value transactions involving new data center sites, power, construction, colocation, and related infrastructure arrangements. This role is designed for a lawyer who understands how data centers are developed and operated—not a general real estate practitioner. You will work closely with infrastructure, finance, procurement, and operations teams, while coordinating outside counsel where appropriate, to help projects move quickly and responsibly. San Francisco is preferred, and occasional travel may be required. In this role, you will: Lead commercial legal strategy and risk management for data center development and colocation transactions. Draft, negotiate, and advise on colocation agreements, construction agreements, power-related arrangements, and other contracts supporting data center development. Support first-party projects involving raw land, site and power rights, design and construction, EPC models, third-party build-to-suit structures, and leasebacks. Partner cross-functionally with infrastructure, finance, procurement, operations, and other stakeholders on fast-moving, complex projects. Manage and collaborate effectively with outside counsel across a high volume of infrastructure matters. Develop scalable legal playbooks and contracting approaches for a growing portfolio of data center sites. You might thrive in this role if you have: 12+ years of legal experience, primarily in commercial legal roles. Deep, hands-on experience

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Through strategic partnerships and self-built campuses, we are scaling one of the world's fastest-growing AI infrastructure platforms. The Supply Chain organization ensures critical infrastructure components—from compute systems and networking equipment to integrated rack solutions—are sourced, manufactured, qualified, and delivered with the speed and reliability required to support frontier AI development. We partner closely with Hardware Engineering, Manufacturing Quality Engineering, Infrastructure Delivery, Hardware Operations, Finance, and suppliers worldwide to build a resilient, scalable supply chain capable of supporting rapid infrastructure expansion. As Industrial Compute continues to grow, Supply Chain serves as the operational bridge between engineering innovation and large-scale infrastructure deployment. About the Role We are seeking a Supply Chain Manager to lead strategic execution across sourcing, supplier operations, manufacturing quality, and infrastructure delivery for OpenAI's AI infrastructure portfolio. This role will oversee a multidisciplinary team responsible for strategic sourcing, manufacturing quality engineering, and technical program management while partnering closely with engineering, finance, hardware operations, and deployment teams. You will drive supplier strategy, manufacturing readiness, production planning, quality performance, and operational execution across the full hardware lifecycle. Success requires balancing long-term supplier strategy with day-to-day execution. You'll establish scalable operating mechanisms, strengthen supplier partnerships, manage complex cross-functional programs, and ensure OpenAI can rapidly deploy AI infrastructure without compromising quality, cost, or reliability. This is a people leadership role responsible for developing a high-performing organization while driving operati

About the Team The Ecosystem AI Deployment Engineering (ADE) team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins. About the Role We are looking for an AI Deployment Engineer to help strategic partners design, build, evaluate, submit, launch, and maintain high-utility plugins for ChatGPT and Codex. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated partner engagements, and translate ambiguous product needs into production-ready integrations. You will work across partner product and engineering teams and OpenAI's product, engineering, partnerships, legal, policy, design, and go-to-market teams. You will identify the right use cases, prototype and review implementations, run evaluations, debug issues across systems, guide partners through submission and review, and support launch and post-launch iteration. The best person for this role moves fluidly between code, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product minded engineer who wants to stay close to users and partners while still going deep on code, reliability, evaluations, and developer experience. The goal is to help partners ship plugins that are not merely technically functional, but genuinely useful in ChatGPT and Codex. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own the technical partner journey for priority B2B plugins—from pitch and readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance. Identify strong plugin use cases, define crisp user journeys and expected behaviors, and

About the Team OpenAI's research training infrastructure powers how our frontier models are trained and evaluated. The Simulation team sits at the intersection between the agentic harness that powers OpenAI's products and the research infrastructure where GPT-next is trained, ensuring that our model's training environment is as realistic as possible. This team owns the integration layer that connects our production harness capabilities into the training stack. The work is highly cross-functional and high leverage: researchers depend on it to run experiments and evaluations reliably as well as to develop the next generation of harness capabilities. Failures in this surface can materially affect training velocity and correctness. About the Role We're looking for a Principal Software Engineer to lead the architecture and evolution of the Simulation Platform. You'll own a critical interface between research and engineering, building the systems, APIs, and operational patterns that let researchers use agentic coding infrastructure safely and effectively in training environments. This role is ideal for a senior backend or infrastructure engineer with strong technical judgment, product sense for highly technical users, and the ability to drive execution across multiple teams. The highest-leverage work is building robust infrastructure that supports and accelerates research without compromising engineering quality. In this role, you will Design, build, and evolve the integration between the Codex harness that powers OpenAI's products and research training infrastructure used for training GPT-next Build a platform for our LLMs to train and be evaluated in simulated environments that mimic their deployment setting as closely as possible, on every axis: agentic harness, compute substrate, timing, tools, data sources, humans in the loop, and more Own major integration surfaces end-to-end, from architecture and API design through rollout, operations, and long-term maintenance Bu

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. Work closely with the legal team to handle any compliance or data privacy-related matters. Develop and deploy highly scalable distributed systems capable of handling petabytes of data. Architect and implement algorithms for data indexing and search capabilities. Build and maintain backend services for data storage, including work with key-value databases and synchronization. Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. Conduct and analyze experiments on data to provide insights into system performance. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in software development. Experience with large web crawlers a plus Strong expertise in large stateful distributed systems and data processing. Proficiency in Kubernetes, and Infrastructure-as-Code concepts. Willingness and enthusiasm for trying new approaches and technologies. Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal. 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

About the Team The Industrial Compute team is responsible for building the physical infrastructure that powers OpenAI’s largest-scale AI systems. We design, deploy, and operate next-generation compute infrastructure across a rapidly expanding global footprint, combining OpenAI-owned infrastructure with strategic cloud and infrastructure partners to support frontier AI workloads. As our infrastructure footprint grows, operational excellence across third-party providers becomes increasingly critical. Our team ensures external infrastructure partners consistently deliver the reliability, performance, and operational maturity required to support OpenAI’s rapidly expanding compute environment. About the Role We are seeking a Hardware Technical Program Manager, Infrastructure Partner Operations to lead operational delivery across OpenAI’s third-party infrastructure partners, including major cloud service providers and strategic compute vendors. In this role, you will serve as the primary operational program manager for external infrastructure partners, driving accountability for service delivery, operational readiness, incident management, performance reporting, and continuous operational improvement. You will work closely with partner engineering and operations teams while coordinating internally across Hardware Engineering, Infrastructure Operations, Capacity Planning, Networking, Supply Chain, Deployment, Reliability Engineering, and executive leadership. Success in this role requires someone who understands how hyperscale infrastructure organizations operate, can establish strong operational governance with external partners, and is comfortable driving complex technical programs without direct ownership of the underlying infrastructure. Key Responsibilities Own operational engagement with third-party infrastructure providers, ensuring consistent execution against operational commitments, service-level agreements (SLAs), and performance expectations. Develop operationa

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team owns the upstream diligence and development work required to convert powered-land opportunities into executable infrastructure options. About the Role The Power Land Developer; Development & Power Projects will support the advancement of powered-land opportunities across the portfolio, reporting to the Development & Power Project Lead. This is an individual contributor lead role and does not have direct reports initially. This role will own day-to-day development execution across approximately 1–3 active sites depending on complexity, including utility applications, interconnection requests, study follow-through, queue milestones, consultant workstreams, schedule and risk management, and readiness handoff for opportunities advancing to deeper diligence, commercial commitment, or execution. The role translates study and utility findings into clear schedule, budget, and risk implications for portfolio decisions. Responsibilities Manage day-to-day advancement of powered-land opportunities from intake through readiness. Own utility application and interconnection follow-through across active powered-land opportunities, including utility inputs, study responses, and queue milestones. Scope and manage external studies and consultant workstreams needed to validate readiness. Track development schedules, dependencies, risk registers, site-readiness milestones, and key budget implications. Translate technical findings into clear schedule, budget, and risk implications and escalate material blockers or trade-offs to the Development & Power Project Lead. Partner with land, environmental, economic development, and community affairs leads to align project advancement. Support expansion planning, infrastructure sequencing, and long-term power-risk mitigation. Define readiness criteria and

About the Role OpenAI’s brands are trusted by hundreds of millions of users around the world. As awareness and adoption of OpenAI’s products continue to grow, so does the volume and sophistication of brand abuse, including impersonation, scams, copycat applications, fraudulent websites, social media misuse, and other forms of online infringement. We are seeking an experienced Brand Protection Manager to build and operate OpenAI’s global brand protection program. This role will lead efforts to identify, prioritize, and address misuse of OpenAI’s brands across websites, social media platforms, app stores, marketplaces, advertising networks, and other online ecosystems. The ideal candidate combines strong operational execution, investigative instincts, and program management skills. They are comfortable working across Legal, Marketing, Comms, Security, Trust & Safety, and external partners to address emerging threats and develop scalable enforcement programs. This role will lead OpenAI’s Brand Protection & Operations function and help ensure that OpenAI’s brands remain trusted, protected, and resilient as the company continues to grow globally. 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: Build and operate OpenAI’s global brand protection program. Monitor and respond to misuse of OpenAI brands across websites, social media, marketplaces, app stores, advertising platforms, and emerging online ecosystems. Develop and manage programs to protect OpenAI products, services, and associated brands. Coordinate investigations and enforcement efforts across online and offline channels. Partner with product, marketing, security, trust & safety, and legal teams to address brand abuse and emerging threats. Develop enforcement playbooks, prioritization frameworks, and escalation processes. Manage relationships with brand protection vendors, mon

About the Team The GTM Data Science team partners with Go-to-Market, Technical Success, Product, Engineering, RevOps, and Strategic Finance to build the shared intelligence layer for OpenAI's B2B business. The team turns product usage, customer behavior, revenue, field activity, and customer feedback into rigorous insight products that help leaders and field teams understand where customers are succeeding, where adoption is blocked, and what actions will accelerate durable growth. We are building systems that make customer intelligence proactive: surfacing risk, expansion potential, product gaps, and repeatable playbooks before they show up as escalations or missed opportunities. About the Role As the Applied Data Science & Insights Lead for GTM Intelligence Solutions and Technical Success, you will be a hands-on technical leader responsible for shaping how OpenAI measures, understands, and improves customer adoption across our B2B products. You will build AI/ML-powered intelligence products that connect account health, product usage, customer lifecycle, support tier, qualitative sentiment, commercial context, and field actions into a practical operating system for GTM and Technical Success. This role will build the data science foundation for Technical Success: defining the metrics, models, operating insights, and decision systems that help the team scale customer adoption and expansion with rigor. You will also be expected to build and lead a small mighty team over time: setting direction, hiring and developing talent, creating operating cadences, and holding a high bar for technical rigor and business impact. You will lead the development of models, metrics, and decision systems that recommend what GTM and Technical Success teams should do next, explain why, and measure whether those interventions worked. Your work will help customers move from pilots to production, deepen usage across products, identify high-value use cases, reduce churn risk, and create a f

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. Role Overview We are seeking a Package Reliability Engineer to lead reliability engineering for advanced packages used in high-performance AI and computing systems. The primary focus of this role is to assess package level mechanical and thermal reliability risks and apply thermal and mechanical modeling to optimize package design, material selection, and assembly processes. The engineer will also develop reliability test plans with external partners, identify failure mechanisms, perform root-cause analysis, and recommend practical corrective actions. In this role, you will assess package reliability risks from early architecture development through product qualification and high-volume manufacturing. You will work closely with package design, silicon design, system engineering, manufacturing, and ASIC partners to predict package behavior, develop qualification strategies, resolve reliability issues, and improve overall package robustness and lifetime. In this role you will: Lead reliability test plan and assessments for advanced HPC packages, including risk identification, potential failure-mechanism analysis, root-cause investigation, mitigation planning, and corrective-action development. Drive reliability-focused package design optimization based on thermo-mechanical modeling to improve package reliability, power integrity, thermal performance, mechanical robustness, and platform scalability. Develop, validate, and apply package reliability models and lifetime-prediction