Tokens-as--Service; TaaS Lead

Location

San Francisco;
Seattle

Full time

Hybrid

Scaling

• $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.

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.

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.

• 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…