Infrastructure Planning Lead

Meta

$160K — $200K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field
  • 15+ years of experience in capacity, supply chain, or demand planning
  • Proven track record of designing and owning multi-quarter planning processes
  • Experience in data center infrastructure planning, including power and capacity
  • Strong presentation skills for executive-level recommendations

Responsibilities

  • Own the complete infrastructure capacity planning process from demand to supply
  • Collaborate with engineering and finance to align on multi-year capacity needs
  • Design and iterate on the planning process and its documentation
  • Educate teams on the planning process and necessary participation artifacts
  • Guide teams in forecasting their infrastructure requirements
  • Identify demand-supply gaps and drive trade-off discussions
  • Develop metrics for forecast accuracy and capacity utilization improvement

Benefits

  • Collaborative environment across diverse technical teams
  • Opportunity to lead strategic infrastructure planning at a major tech company
  • Engagement with cutting-edge AI and product roadmaps
  • Potential for career growth within a recognized industry leader
  • Exposure to executive-level decision-making processes
Full 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.

Responsibilities

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.

Minimum Qualifications
• 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

Preferred Qualifications
• 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

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