Director, Power Utilization and Infrastructure Efficiency
Menlo Park, California, United States · On-site
$347k–$403k/yr
Senior+$80B raised
Meta is seeking a Director, Power Utilization and Infrastructure Efficiency to lead a multidisciplinary organization focused on maximizing the utilization, reliability, and cost efficiency of power across Meta’s data cen…
Skills: Power Utilization, Infrastructure Efficiency, Operations Research, Data Modeling, Capacity Planning
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$347k–$403k/yr
Full-time
postgraduate degree
Bonus, Equity, Health Insurance
Posted 3d ago
~40 hrs/week
Responsibilities
The Director will lead a multidisciplinary organization to optimize power utilization, reliability, and cost efficiency across Meta's global data center infrastructure. This role involves defining long-term strategy, building predictive models, and developing production systems to inform capacity planning and fulfillment decisions.
Requirements
Candidates must have 12+ years of experience in infrastructure systems, operations research, or related technical fields, with at least 8 years in people management. A strong background in modeling, optimization, and leading large-scale technical organizations is required.
Full job description
Meta is seeking a Director, Power Utilization and Infrastructure Efficiency to lead a multidisciplinary organization focused on maximizing the utilization, reliability, and cost efficiency of power across Meta’s data center infrastructure. This leader will build and scale teams across software engineering, operations research, research science, and technical program management to develop models, systems, and programs that improve how Meta plans, allocates, and uses power at global infrastructure scale.
This role will own the strategy and execution for data-driven power utilization across the data center fleet, including power consumption modeling, utilization and reliability forecasting, optimization systems, and integration with fulfillment and capacity planning systems. The role will also lead infrastructure efficiency programs that improve end-to-end cycle time, utilization, reliability, and cost across Meta’s infrastructure supply and fulfillment ecosystem.
Responsibilities
research scientists, and technical program managers focused on power utilization, reliability modeling, and infrastructure efficiency.
Define the long-term strategy, roadmap, and operating model for data-driven power planning and utilization across Meta’s data center infrastructure.
Build data models that represent power consumption, constraints, utilization, and reliability across data centers, capacity planning systems, and fulfillment workflows.
Develop mathematical, statistical, and simulation-based models to predict power utilization, demand, risk, reliability, and available headroom across the fleet.
Build production systems that use model outputs to inform fulfillment decisions and improve power allocation, infrastructure readiness, and capacity utilization.
Partner with data center engineering, capacity planning, supply chain, finance, hardware, network, and infrastructure operations teams to translate power insights into execution plans.
Lead efficiency programs that improve end-to-end infrastructure metrics, including cycle time, utilization, cost, reliability, and operational throughput.
Establish metrics, review mechanisms, and decision systems that help Meta make tradeoffs across power availability, reliability, capacity delivery, and business demand.
Develop technical and organizational leaders, including managers and senior individual contributors, and build a durable leadership bench for a growing area of infrastructure investment.
Minimum Qualifications
12+ years of experience in software engineering, infrastructure systems, operations research, data science, capacity planning, data center infrastructure, power systems, or a related technical field
8+ years of people management experience, including experience 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
Experience partnering across engineering, operations, finance, planning, and program management teams to deliver measurable business and infrastructure outcomes
Experience setting strategy, defining roadmaps, and driving execution across multiple teams or workstreams
Communication experience influencing senior technical and business stakeholders on complex infrastructure tradeoffs
Preferred Qualifications
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
Experience building systems that connect predictive models to operational decision-making workflows
Experience leading teams that include software engineers, applied scientists, operations research scientists, data scientists, and technical program managers
Experience with infrastructure cost modeling, utilization optimization, reliability risk management, or large-scale CapEx/Opex tradeoff decisions
Advanced degree or equivalent experience in Computer Science, Operations Research, Industrial Engineering, Electrical Engineering, Statistics, Applied Mathematics, or a related technical field
Experience operating at Director or Senior Director scope in a large-scale infrastructure, cloud, data center, or platform organization
$347,000/year to $403,000/year + bonus + equity + benefits
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology.
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For a full listing of our jobs, visit https://www.metacareers.com
Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology.
To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
For a full listing of our jobs, visit https://www.metacareers.com
Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US