Meta
Director, Power Utilization and Infrastructure Efficiency
$347K–$403K
Menlo Park, CA · Director · Full-time · Posted Aug 10, 2026
- Experience
- 12+ years in a related technical field; 8+ years of people management, including managing managers or multidisciplinary technical teams.
- Education
- Advanced degree or equivalent experience in Computer Science, Operations Research, Industrial Engineering, Electrical Engineering, Statistics, Applied Mathematics, or a related technical field.
About the job
Leads the strategy, teams, and systems that optimize power utilization, reliability, capacity planning, and infrastructure efficiency across Meta’s global data center fleet.
What you'll do
- Build and lead multidisciplinary teams working on power utilization, reliability modeling, and infrastructure efficiency.
- Set strategy and develop models and production systems to forecast and optimize power allocation, capacity, and fulfillment decisions.
- Lead programs and cross-functional partnerships to improve infrastructure cycle time, utilization, reliability, cost, and operational throughput.
What they ask for
- 12+ years of experience in a related technical field.
- 8+ years of people management experience, including managing managers or multidisciplinary technical teams.
- Experience leading technical organizations that build production systems, data platforms, forecasting models, optimization systems, or infrastructure planning tools.
- Experience applying modeling, optimization, simulation, forecasting, or statistical methods to large-scale operational or infrastructure problems.
Nice to have
- Experience with hyperscale data center infrastructure, power capacity, energy systems, capacity planning, supply chain planning, or fulfillment systems.
- Experience with optimization techniques such as linear programming, mixed-integer optimization, stochastic modeling, simulation, queuing models, or reliability modeling.
Pay
$347,000/year to $403,000/year USD base salary; bonus + equity (amount not stated)
Tools
linear programming, mixed-integer optimization, stochastic modeling, simulation, queuing models, reliability modeling
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