CareerPlan

Technical Program Manager, Research Compute Services

San FranciscoFull-time2026-11-05 → 2026-11-09

Core

Build and own tools, data, and platforms to translate research plans into concrete compute demand, manage fleet allocations, and optimize scheduling for OpenAI's research workloads.

Role type

Senior Technical Program Manager (Research Compute Services)

Builds

Compute demand systems, allocation tools, scheduling platforms, and data models for research workloads.

Domain

AI Research Infrastructure / Distributed Systems / Compute Fleet Management

Deliverable

production ML models

Required skills

Capacity planning, Kubernetes scheduling, optimization solvers, program leadership, data modeling, automation, stakeholder management, technical delivery, system design, resource allocation

Preferred skills

Experience with large-scale compute, distributed systems, research environments, fleet-wide allocation, solver evaluation, ambiguous problem solving

Technologies

Kubernetes, optimization solvers, fleet scheduling systems

Responsibilities

Partner with researchers to translate needs into compute services; own roadmap for demand and allocation systems; develop systems to convert research plans into actionable capacity needs; reconcile supply and demand across teams; build data models and automation for compute visibility; connect allocation plans to workload execution; improve scheduling efficiency with engineers; identify systemic gaps in fleet usage; lead technical delivery across multiple teams; communicate tradeoffs and progress to leadership.