Data Center Infrastructure Engineering Program Manager (Network and Whitespace)
OpenAI · San Francisco · Seattle · US - Remote
CHECKED 23H AGO
Frontier labremotesenior$226k–$285k
At a glance
Highlights
- Lead network and data hall programs powering next-gen AI infrastructure.
- Turn complex infrastructure strategy into executable delivery programs.
- Drive readiness for 1P, 3P, colo and CSP data center deployments.
What they offer
- equity
Ideal candidate
A structured program leader who thrives in ambiguous, high-stakes infrastructure delivery and keeps large partner ecosystems aligned. You care about turning complex strategy into clear execution and operational readiness.
Requirements
- Extensive experience in engineering or technical program management for mission-critical infrastructure or data center deployment, typically 10+ years
- Proven ability to drive ambiguous cross-functional programs from concept through design, procurement, construction, commissioning and operations
- Experience coordinating network, controls, electrical, mechanical, structural, construction and operations workstreams
- Technical fluency in data hall deployment, production and non-production network interfaces, controls, telemetry and rack deployment
- Experience building integrated schedules, dependency maps, risk registers, decision logs and readiness trackers
- Experience coordinating external vendors, design firms, delivery teams and operators
- Excellent written and verbal communication with crisp status reporting across matrixed teams
- Bachelor's degree in Engineering, Computer Science, Construction Management, Operations, Business or related field or equivalent experience
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets