Job description

We are looking for an Infrastructure Planning Leader to own Meta's medium-range and long-range infrastructure capacity planning process end to end. In this role you will work across infrastructure engineering teams, product groups, and finance to translate product and AI roadmaps into a multi-year plan for compute, power, and data center capacity. You will design the planning process itself, build alignment on it across a large and technically diverse set of partner teams, educate those teams on how to participate, and guide both demand and supply organizations through its execution. This is a senior individual contributor role for a planning practitioner with depth across data center infrastructure, power, supply chain, and infrastructure demand. Own the medium-range and long-range infrastructure capacity planning processes end to end, from demand collection through supply commitment. Partner with infrastructure engineering teams, product groups, and finance to translate product and AI roadmaps into multi-year compute, power, and data center capacity requirements. Design, document, and iterate on the planning process, including the planning calendar, required inputs, decision checkpoints, and published outputs. Educate partner teams on the planning process and build the shared definitions, artifacts, and templates that teams use to participate in it. Guide demand teams in forecasting and articulating their infrastructure requirements, and guide supply teams in translating those requirements into build, procurement, and deployment plans. Identify gaps between forecasted infrastructure demand and planned supply, and drive the trade-off decisions needed to close them. Define the metrics used to measure forecast accuracy, plan attainment, and capacity utilization, and drive improvement against those metrics over time. Partner with data center and supply chain teams on lead times, constraints, and sequencing that determine when capacity can be delivered. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 15+ years of experience in capacity planning, supply chain planning, or demand planning Experience designing and owning a recurring, multi-quarter planning process spanning multiple organizations Experience with data center infrastructure planning, including power, capacity, or supply chain constraints Experience presenting planning recommendations and trade-offs to executive-level audiences Experience with long-range capacity planning for hyperscale, cloud, or large-scale data center infrastructure Experience with capacity planning for AI or machine learning training and inference workloads Experience with quantitative modeling, scenario planning, or optimization methods applied to capacity or supply decisions Familiarity with data center power delivery, cooling, or site selection constraints in a hyperscale environment Experience partnering with finance organizations on capital planning or capital expenditure forecasting Experience with hardware supply chain planning, including supplier lead times, constraints, and procurement cycles Master's degree or PhD in Operations Research, Industrial Engineering, Supply Chain, Economics, or a relevant technical field

Requirements

Requirements not extracted — see the original description below.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: meta
Effort: medium