CPU/Storage/PoP-WAN Program Manager

at OpenAI
USD 226,000-285,000 per year
SENIOR
✅ Hybrid
✅ Relocation

Tech Stack

AI @ 4 Azure Communication @ 7 Compliance GPU @ 4 HPC @ 4 Leadership @ 7 Networking @ 7

Details

OpenAI’s Infrastructure organization builds the systems that power frontier AI workloads at global scale. The CPU / Storage / PoP / WAN team is responsible for server and cluster activation, storage platforms, Points of Presence (PoPs), backbone connectivity, and global network expansion across first-party facilities, colocation environments, and strategic cloud partners.

The highly technical Program Manager will lead execution across CPU, Storage, PoP, and WAN infrastructure programs that unlock next-generation compute capacity. The role owns complex cross-functional programs spanning compute cluster activation, storage deployment, PoP bring-up, and backbone expansion, coordinating hardware readiness, site readiness, network pathing, storage availability, vendor execution, and engineering dependencies.

This role is based in San Francisco, California, with travel as needed.

Responsibilities

  • Lead end-to-end execution of CPU/GPU cluster activation programs across OpenAI’s global infrastructure footprint.
  • Drive readiness to convert contracted compute capacity into schedulable production clusters.
  • Own deployment programs for new PoPs, backbone nodes, WAN expansion, and interconnection initiatives.
  • Build integrated schedules covering procurement, logistics, installation, storage readiness, network turn-up, testing, and production handoff.
  • Coordinate BOM readiness, server delivery, racks, optics, cabling, storage hardware, and vendor milestones.
  • Partner with engineering teams to align compute, storage, and networking dependencies before cluster activation.
  • Manage storage system deployments supporting training and inference workloads, including readiness, validation, performance checks, and scaling plans.
  • Coordinate backbone capacity expansion, cross-connects, inter-region pathing, and cloud interconnect readiness with Azure and third-party providers.
  • Lead physical deployment execution, including rack-and-stack, hardware bring-up, L1 validation, and site acceptance criteria.
  • Build repeatable deployment playbooks, dashboards, governance cadences, and operating mechanisms for scale.
  • Identify risks across supply chain, site readiness, technical constraints, and vendor execution, and drive mitigation plans.
  • Communicate milestones, escalations, and capacity forecasts to senior leadership.

Requirements

  • 8+ years of experience in technical program management, infrastructure deployment, network deployment, or data center operations.
  • Strong experience delivering programs involving compute, storage, networking, or large-scale infrastructure systems.
  • Working knowledge of servers, clusters, storage arrays, routers, switches, optics, and structured cabling.
  • Experience owning cross-functional programs across engineering, operations, supply chain, and external vendors.
  • Strong understanding of deployment lifecycles from planning and procurement through production handoff.
  • Ability to reason across physical infrastructure execution and logical systems architecture dependencies.
  • Proven ability to build integrated schedules and drive accountability across multiple stakeholders.
  • Strong executive communication skills, including experience managing critical escalations and leadership updates.
  • Comfort operating in fast-moving environments with aggressive timelines and evolving priorities.
  • Strong analytical, problem-solving, and execution skills.

Preferred Skills

  • Experience at a hyperscaler, cloud provider, AI infrastructure company, or global network operator.
  • Experience deploying GPU clusters, HPC systems, or large training environments.
  • Familiarity with distributed storage systems and high-performance data infrastructure.
  • Experience with PoP deployments, WAN backbone expansion, or global network buildouts.
  • Experience working across first-party, colocation, and cloud environments.
  • Experience building repeatable infrastructure deployment systems in high-growth environments.

Benefits

  • Equity, performance-related bonuses for eligible employees, and comprehensive benefits.
  • Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for health, dependent care, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental, medical, and caregiver leave.
  • Paid time off, company holidays, office closures, and paid sick or safe time.
  • Mental health and wellness support.
  • Employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily office meals and eligible meal delivery credits.
  • Relocation support for eligible employees.
  • Additional benefits may include charitable donation matching and wellness stipends.

OpenAI is an equal opportunity employer committed to reasonable accommodations and compliance with applicable employment laws.

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