Meta
Infrastructure Planning Lead
$271K–$347K
Bellevue, WA +1 · Full-time · Posted Aug 26, 2026
- Location
- Bellevue, WA
Menlo Park, CA - Experience
- 15+ years in capacity planning, supply chain planning, or demand planning.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. Master's degree or PhD in Operations Research, Industrial Engineering, Supply Chain, Economics, or a relevant technical field is also listed.
About the job
Owns Meta’s multi-year infrastructure capacity planning process, translating product and AI roadmaps into compute, power, and data center supply plans.
What you'll do
- Own and improve end-to-end medium- and long-range capacity planning across demand collection and supply commitment.
- Align engineering, product, finance, data center, and supply chain teams on forecasts, constraints, trade-offs, and delivery plans.
- Define planning metrics and drive improvements in forecast accuracy, plan attainment, and capacity utilization.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 15+ years of experience in capacity planning, supply chain planning, or demand planning.
- Experience owning recurring multi-quarter planning across multiple organizations and planning data center infrastructure, including power, capacity, or supply chain constraints.
- Experience presenting recommendations and trade-offs to executive-level audiences.
Nice to have
- Experience with hyperscale, cloud, or large-scale data center long-range planning, including AI or machine-learning workloads.
- Experience in quantitative modeling, finance capital planning, data center constraints, or hardware supply chain planning; a relevant Master's degree or PhD.
Pay
USD $271,000/year to $347,000/year (base salary); bonus and equity also stated, with no amounts specified.
AI focus
Plans infrastructure capacity for AI roadmaps and AI or machine-learning training and inference workloads.
Model-written summary · the original posting is authoritative