Commissioning Project Lead, Data Center DeliveryPosted today$141K–$285K

Hybrid · San FranciscoOperations

The opportunity

OpenAI’s Industrial Compute organization is building the infrastructure required to support the next generation of frontier AI systems. Through a combination of strategic partnerships and self-built data center campuses, we are scaling the power, cooling, electrical, mechanical,…

What you'll do

  • Own the project commissioning strategy and execution plan, including scope,: governance, acceptance criteria, responsibilities, sequencing, and escalation paths.

  • Lead the hybrid OpenAI and commissioning-partner delivery model, establishing: clear RACI ownership, staffing requirements, performance expectations, and issue-management processes.

  • Integrate commissioning into the master project schedule, including: construction readiness, energization, equipment startup, functional testing, integrated systems testing, and turnover milestones.

  • Lead commissioning coordination across construction management, contractors,: design teams, equipment vendors, operations stakeholders, and field/test engineering teams.

  • Drive multidisciplinary commissioning readiness across electrical,: mechanical, controls, and supporting infrastructure, identifying dependencies and resolving blockers before they affect testing.

  • Own visibility into commissioning risks, including schedule constraints,: readiness gaps, design and submittal issues, safety constraints, resource bottlenecks, deficiencies, and documentation quality.

What they're looking for

  • Coordinate QA/QC inspections and test execution with discipline commissioning: leads, contractors, equipment vendors, and commissioning partners.
  • Review commissioning plans, test procedures, readiness checklists, deficiency: logs, test reports, turnover packages, and other commissioning deliverables against established acceptance criteria.
  • Provide clear project and executive reporting on commissioning readiness,: staffing, test progress, open risks, issue aging, and turnover status.
  • Drive final system acceptance, turnover readiness, closeout, and lessons: learned to support a reliable transition from construction into operations.