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.
About the job
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 Clusters, AI Infrastructure, Data Centers, Networking, Program Management, Hyperscale Infrastructure, Cluster Bring-Up, Hardware Deployment, Dashboards, Forecasting
Similar jobs
Technical Program Management jobs
OpenAI
Washington, DC
Leads secure, end-to-end AI delivery programs for U.S. Intelligence Community customers, translating mission priorities into deployable solutions and measurable outcomes. Requires 10+ years of technical program delivery, direct IC experience, TS/SCI clearance, executive presence, and fluency in AI architectures and secure environments.
OpenAI
San Francisco, CA
Leads integrated demand, supply, and deployment planning for first-party AI hardware infrastructure, aligning site power, configurations, XPU requirements, manufacturing capacity, and supplier commitments. Requires significant experience in complex hardware planning or operations, strong analytical judgment, and cross-functional program leadership.
Anthropic
Austin, TXLeads end-to-end delivery of custom AI-agent deployments for enterprise customers in regulated industries, coordinating technical teams, executive stakeholders, product scoping, architecture decisions, and value measurement. Requires production AI/ML deployment experience, enterprise delivery expertise, and strong executive presence.
OpenAI
San Francisco, CA
Build and scale the safety and risk operating model for a new category of consumer devices, defining incident workflows, escalation mechanisms, launch readiness, controls, and measurement. The role requires 8+ years of experience managing ambiguous cross-functional programs and strong judgment in sensitive, high-severity situations.
Anthropic
Boston, MAOwns the design, deployment, lifecycle, and vendor management of residential, travel, and personal security technology supporting executives and their families. The role requires hands-on physical security experience, strong program management, technical judgment, and clear documentation skills.