Meta
Program Management Manager, Fleet Health, Reliability, and Central Engineering
$189K–$259K
Menlo Park, CA +1 · Remote · Manager · Full-time · Posted Sep 18, 2026
- Location
- Menlo Park, CA
Remote, US - Experience
- 10+ years in technical or product program management; 4+ years of people management, including managing managers or leading a multi-team organization.
- Education
- Bachelor’s degree in computer science, systems engineering, electrical engineering, MIS, or a related field or commensurate technical experience. A master’s degree in these fields or a related field is also listed.
About the job
Leads a multi-team program management organization responsible for the strategy, delivery, and operational outcomes of tooling for global data center fleet operations.
What you'll do
- Lead and develop program managers, frontline managers, and senior individual contributors, including hiring, performance management, and career development.
- Own multi-year tooling strategy, roadmaps, budgets, OKRs, prioritization, and success metrics.
- Govern tooling integration and launches across hardware development phases, manage portfolio risks, and align engineering and operations leaders.
What they ask for
- Bachelor’s degree in computer science, systems engineering, electrical engineering, MIS, or a related field or commensurate technical experience.
- 10+ years of experience in technical or product program management.
- 4+ years of people management experience, including managing managers or leading a multi-team organization.
- Experience owning a multi-year strategy or portfolio and influencing executive cross-functional leadership across engineering and operations.
Nice to have
- Experience with vendor management, contracts, and outsourcing strategy.
- Knowledge of compute, storage, and networking technologies and hardware NPI lifecycle; data center or large-scale infrastructure operations experience.
Pay
$189,000/year to $259,000/year (base salary)
AI focus
Integrate AI tools to optimize or redesign workflows and achieve measurable impact; develop AI skills, including prompt/context engineering and agent orchestration, and apply responsible AI practices.
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