Commercial Compute & Ecosystem Strategy

OpenAI OpenAI · AI Frontier · San Francisco, CA · Scaling

This role focuses on the strategic planning and management of compute infrastructure and ecosystem for AI training and inference. It involves long-term compute acquisition strategy, capacity forecasting, infrastructure deployment, and managing relationships with data center partners, hardware vendors, and cloud providers to meet OpenAI's scaling demands. The role requires deep infrastructure and business strategy expertise, operational judgment, and cross-functional leadership.

What you'd actually do

  1. Develop and execute OpenAI’s long-term compute acquisition and infrastructure capacity strategy across training, inference, and research workloads.
  2. Lead strategic ecosystem management across data center partners, hardware vendors, cloud providers, and infrastructure suppliers.
  3. Drive infrastructure planning, capacity forecasting, and deployment strategy to ensure scalable, resilient, and cost-efficient compute availability.
  4. Partner closely with engineering, finance, operations, and executive leadership to align infrastructure investments with evolving technical and business priorities.
  5. Evaluate supply, market, and technology trends to inform infrastructure strategy, vendor engagement, and long-range planning decisions.

Skills

Required

  • infrastructure strategy
  • compute capacity planning
  • cloud infrastructure
  • data centers
  • large-scale technical ecosystem management
  • cross-functional leadership
  • strategic partnerships
  • negotiations with cloud providers, hardware vendors, infrastructure suppliers, or large-scale technology partners
  • analytical skills
  • executive communication skills

What the JD emphasized

  • long-term compute acquisition strategy
  • capacity forecasting
  • infrastructure deployment
  • data center partners
  • hardware vendors
  • cloud providers
  • infrastructure suppliers
  • training
  • inference