Description
We are seeking a Technical Program Manager, Global Infrastructure Planning to join our Compute Infrastructure team. The successful candidate will own CPU capacity planning and management across Research and Compute, working with infrastructure owners to lead integrated planning for CPU, storage, and network capacity across OpenAI's global fleet.
Responsibilities:
- Lead CPU demand planning across Research, Compute, and application infrastructure
- Translate workload growth and GPU fleet plans into integrated CPU, storage, and network requirements
- Reconcile current and incoming supply with demand, model constrained scenarios, and drive allocation and prioritization decisions
- Partner with network engineering and deployment teams to translate regional demand into bandwidth and connectivity plans
- Understand workload architecture and performance requirements well enough to challenge assumptions and influence technical decisions
- Drive fleet efficiency programs that reclaim unused capacity, rightsize workloads, modernize infrastructure, and improve placement or resource sharing
- Scale integrated capacity planning across CPU, storage, and network in partnership with resource owners
- Partner with cloud providers, Finance, Procurement, and engineering to shape capacity orders, commitments, and renewal decisions
Requirements:
- 5+ years of experience in technical program management, capacity planning, capacity engineering, or infrastructure management
- Direct experience managing demand forecasting, supply planning, allocations, and capacity operations for CPU or cloud compute infrastructure
- Technical depth in one or more infrastructure domains
- Understanding of how workload architecture drives CPU and memory needs, storage capacity and throughput, network bandwidth and latency, and regional placement
- Experience working across multiple cloud providers
- Ability to lead decisions across engineering, research, product, Finance, and external providers
Salary: $207K - $285K
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