Meta
Principal Program Manager, Infrastructure Development
$202K–$273K
Menlo Park, CA +2 · Remote · Principal · Full-time · Posted Jul 8, 2026
- Location
- Menlo Park, CA
Seattle, WA
Remote, US - Experience
- 15+ years.
- Education
- Bachelor's degree in a directly related field, or equivalent practical experience. The posting also specifies a bachelor's degree in engineering, business, construction management, or a related field.
About the job
Leads end-to-end program execution, governance, risk management, and partner coordination for Meta’s energy infrastructure investment portfolio.
What you'll do
- Manage portfolio plans, schedules, stage gates, reporting, risks, and cross-project dependencies.
- Establish governance and operating rhythms, and coordinate delivery across internal teams and external energy partners.
- Track capital deployment, forecasts, contract and regulatory milestones, and improve program tools and processes.
What they ask for
- 15+ years of program management in energy infrastructure, power development, data center construction, or large-scale capital project delivery.
- Track record managing complex, multi-billion-dollar infrastructure programs and partnerships with utilities, independent power producers, or developers.
- Deep knowledge of energy infrastructure development lifecycles, including permitting, interconnection, construction, and commissioning.
- Bachelor’s degree in a directly related field, or equivalent practical experience.
Nice to have
- Experience standing up program management functions in fast-scaling organizations; MBA, PMP, or other relevant advanced degree or credential.
- Experience in hyperscale data center or cloud energy delivery, investment or project finance, utility interconnection, or power purchase agreements.
Pay
$202,000/year to $273,000/year (base salary)
AI focus
Integrate AI tools to optimize or redesign workflows and drive measurable impact; ongoing AI skill development, including prompt/context engineering and agent orchestration; implement responsible AI practices such as risk assessment, bias mitigation, and quality and accuracy reviews.
Model-written summary · the original posting is authoritative