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OpenAIOpenAISan Francisco, CA

Tokens-as-a-Service (TaaS) Lead

Leads end-to-end Tokens-as-a-Service programs, converting industrial infrastructure into operational GPU token capacity for AI workloads. Coordinates across engineering, operations, finance, and partners to resolve bottlenecks and hit aggressive timelines. Requires hyperscale infra experience and systems thinking.

266k – 455k/yr
HybridTechnical Program Management

About the role

Responsibilities

  • 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.

Requirements

  • 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 escalate 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.

Skills

Gpu ClustersAI InfrastructureData CentersNetworkingProgram ManagementHyperscale InfrastructureCluster Bring-UpHardware DeploymentDashboardsForecasting
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