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San Francisco, California, United States
Onsite
OpenAI’s Applied AI Engineering (AIE) team helps customers around the world build and deploy AI solutions that deliver measurable business value. We combine technical expertise and hands-on engineering to identify high-impact use cases, develop and evaluate solutions, and guide customers from experimentation to production—bringing deployment insights back to OpenAI’s product and research teams.
We are seeking a Technical Program Manager to lead the planning, execution, and ongoing operations of programs across OpenAI’s global Applied AI Engineering team. You will turn customer, field, and leadership priorities into actionable programs spanning regions and customer segments, managing milestones, dependencies, risks, and delivery in collaboration with AIE, Sales, Product, and partner teams. Alongside execution, you will own and improve AIE’s internal operating mechanisms and tooling, and work with leadership to resolve adoption and delivery bottlenecks. This role combines hands-on program ownership with the opportunity to inform AIE priorities and industry strategy, improve how the team operates, and scale successful approaches globally.
This role is based in San Francisco, California in the United States.
Own end-to-end delivery and operations for a prioritized portfolio of global AIE initiatives, including project plans, milestones, dependencies, risks, regional rollout, leadership updates, and performance tracking.
Co-own industry strategy with AIE and GTM leaders across regions: synthesize customer and field feedback, identify recurring workflows and adoption barriers, and prioritize use cases and investments.
Partner with AIEs across regions and customer segments to identify recurring adoption, delivery, and operational bottlenecks and root causes; work with leadership to prioritize actions, align resources, and drive resolution.
Lead the design of reusable technical industry workshops—including agendas, demos, materials, and actionable next steps—that regional teams can adapt, with delivery led by AIE and other technical teams.
Work with hyperscaler and ecosystem partners to jointly develop industry use cases and coordinate technical readiness, launches, and go-to-market execution.
Own the roadmap, quality, and lifecycle of API and industry demos, technical blueprints, and field enablement playbooks, partnering with technical teams to keep assets current, reusable across regions and customer segments, and aligned with customer needs and product capabilities.
Design and run field-wide technical campaigns in collaboration with AIE, Sales, Product, and partner teams, tailoring regional execution to move customers from discovery and evaluation toward adoption.
Own and improve AIE’s internal operating mechanisms and tooling—including intake, prioritization, operating reviews, and reporting. Establish feedback loops, shared success metrics, and dashboards for delivery, field and customer adoption, API usage, and business impact across regions; use automation and insights to improve team effectiveness and inform AIE, industry, and product priorities.
Bring at least 10+ years of technology-industry experience, with a track record in technical program management, technical strategy, technical GTM, industry programs, or technology consulting. Experience at hyperscalers, independent software vendors (ISVs), or consulting firms is preferred.
Have driven technical sales motions and field-wide campaigns with measurable customer adoption or business results.
Bring strong technical fluency in AI, APIs, cloud platforms, and enterprise deployment tradeoffs, with experience scoping use cases and shaping technical demos, prototypes, workshops, or reference implementations with engineers.
Can turn customer and field signals into a clear industry point of view, distinguish repeatable needs from one-off requests, and prioritize investments.
Have experience partnering with hyperscalers or technology ecosystems on joint solutions, technical enablement, or go-to-market programs.
Have built and managed internal workflows or tooling that teams use day to day. Use automation and AI-powered business intelligence (BI) tools to reduce manual work, build dashboards, define success metrics, and turn adoption and program-performance data into decisions.
Have led large-scale global initiatives from initial design through multi-region rollout and ongoing operations, balancing shared standards with local needs. You navigate ambiguity, influence without formal authority, and communicate clearly with technical, field, partner, and executive audiences across regions and functions.
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.
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