Tokens-as-a-Service (TaaS) Lead

Location San Francisco; Seattle Employment Type Full time Location Type Hybrid Department Scaling Compensation $266K – $455K Offers Equity The base pay offered may vary depending on multiple individualized factors, including market location, job‑related knowledge, skills, and experience. If the role is non‑exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance‑related bonus(es) for eligible employees, and the following benefits. Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts Pre‑tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) 401(k) retirement plan with employer match Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non‑birthing parents), plus paid medical and caregiver leave (up to 8 weeks) Paid time off: flexible PTO for exempt employees and up to 15 days annually for non‑exempt employees 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law) Mental health and wellness support Employer‑paid basic life and disability coverage Annual learning and development stipend to fuel your professional growth Daily meals in our offices, and meal delivery credits as eligible Relocation support for eligible employees Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. More details about our benefits are available to candidates during the hiring process. This role is at‑will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions. About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large‑scale compute capacity across first‑party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a Tokens‑as‑a‑Service (TaaS) Lead to drive the end‑to‑end conversion of industrial‑scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will Lead Tokens‑as‑a‑Service programs across industrial compute environments, including first‑party and partner‑owned capacity. Convert delivered power, space, and hardware capacity into production‑ready token throughput. Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams. Drive external providers, EPCs, OEMs, utilities, and strategic partners toward aggressive timelines. Identify bottlenecks between physical delivery and usable compute output, then lead resolution. Build operating cadences, dashboards, forecasts, and executive reporting for TaaS programs. Develop repeatable deployment models for future industrial compute expansion. You might thrive in this role if you Have led hyperscale infrastructure, data center, manufacturing, or industrial deployment programs. Understand how power + hardware + networking + software combine into usable compute. Can operate equally well with engineers, operators, executives, and external partners. Are highly structured in ambiguous, fast‑moving environments. Know how to elevate intelligently and maintain momentum under pressure. Can translate technical execution into business outcomes. Preferred Skills Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs. Background in program management, operations leadership, capacity delivery, or strategic infrastructure execution. Familiarity with utilities, construction, commissioning, networking, hardware deployment, or cluster bring‑up. Experience managing multi‑billion‑dollar infrastructure or capacity programs. Strong executive communication and stakeholder management skills. 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 legally protected characteristic. 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 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. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via a link. Compensation Range: $266K - $455K #J-18808-Ljbffr Slope