Technical Program Manager, Supercomputing

Location: Mountain View, California, United States

Salary: USD $165,600–$296,400 per year across the U.S.; USD $220,800–$331,200 per year in the San Francisco Bay Area and New York City metropolitan area.

Company

Microsoft AI builds frontier models and products supported by large-scale AI infrastructure.

What you will do

• Own the end-to-end Supercomputing program portfolio across datacenter and infrastructure buildout, cluster bring-up, validation, production readiness, and ongoing operations.
• Translate MAI strategy, model roadmaps, and capacity requirements into coordinated priorities, milestones, dependencies, readiness criteria, and execution plans.
• Drive cross-functional execution across AI infrastructure, capacity, datacenter, compute, networking, storage, scheduling, platform, and operations teams.
• Lead engagement between MAI and Azure partner organizations through operating rhythms, ownership models, escalation paths, dependency tracking, and joint planning.
• Create integrated portfolio views and executive operating mechanisms covering capacity, milestones, readiness, risks, dependencies, operational health, and leadership decisions.
• Communicate strategy, portfolio health, critical milestones, risks, trade-offs, decisions, ownership, and actions to senior leadership while driving alignment without formal authority.

Requirements

• Significant experience in technical program management, infrastructure engineering, capacity delivery, datacenter infrastructure, HPC, AI infrastructure, or large-scale distributed systems.
• Experience leading large, complex portfolios spanning multiple engineering and infrastructure organizations.
• Experience driving programs across infrastructure lifecycle stages including capacity planning, datacenter buildout, infrastructure delivery, cluster bring-up, validation, production readiness, and operations.
• Technical fluency in large-scale AI/HPC infrastructure, including accelerators, compute, networking, storage, schedulers, capacity, telemetry, datacenter infrastructure, and distributed systems.
• Ability to translate organizational strategy and technical requirements into structured programs, milestones, dependencies, readiness criteria, and execution mechanisms.
• Experience managing complex cross-organizational dependencies and driving execution across distributed ownership.
• Ability to build relationships and influence engineering and infrastructure organizations without formal authority.
• Experience establishing executive operating rhythms, portfolio reviews, risk-management mechanisms, and decision frameworks.
• Excellent written and verbal communication skills, including translating complex infrastructure topics into clear outcomes, risks, decisions, ownership, and actions for leadership.

Nice to have

• Experience delivering GPU or accelerator-based AI/HPC capacity at datacenter or fleet scale.
• Experience coordinating programs spanning datacenter construction or buildout, hardware deployment, networking, storage, cluster bring-up, validation, and production operations.
• Experience partnering across large cloud-provider organizations on infrastructure delivery, capacity management, or production readiness.
• Experience establishing portfolio-level mechanisms for capacity planning, cluster readiness, utilization, reliability, and operational health.
• Experience serving as a TPM for a technically complex engineering or infrastructure organization.

Culture & Benefits

• Work across Microsoft AI and Azure organizations on large-scale infrastructure programs.
• Benefits and other compensation may be available for eligible roles.
• Applications are accepted on an ongoing basis until the position is filled.