Tokens-as-a-Service (TaaS) Lead

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. They 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.

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.

Compensation Range

$293K - $385K