Meta(Meta Platforms)岗位:Data Center Strategy & Planning Manager Responsibilities
Identify, develop, and lead large-scale transformational capacity planning initiatives that scale Meta's global data center footprint efficiently and reliably
Build and evolve data center capacity planning strategies that drive improvements in power utilization, deployment timelines, service placement optimization, and cost efficiency
Apply quantitative modeling and scenario analysis to evaluate infrastructure trade-offs and support multi-billion dollar investment decisions at the executive level
Develop detailed project evaluation frameworks for data center plan evolution, setting milestones and driving initiatives through to closure
Optimize the interplay between network, hardware, and data center infrastructure footprints to unlock operational and capital efficiency
Own the communications strategy for data center planning decisions, including executive-level briefings, detailed project status updates, and investment recommendations
Partner cross-functionally with capacity engineering, network engineering, construction, site selection, facility operations, and finance to align on planning assumptions and execution priorities
Use technical judgment to lead new project evaluations, technology reviews, and infrastructure proposals, building consensus across partner organizations
Distill large and varied data sets into clear, actionable insights that separate signal from noise for leadership decision-making
Define and refine long-term infrastructure scaling hypotheses into structured analyses and strategic recommendations that influence company-wide data center direction
Minimum Qualifications
Bachelor's degree in a directly related field, or equivalent practical experience
12+ years of experience in infrastructure, cloud, or hardware domains with a background in strategy, capacity planning, supply chain optimization, or technology strategy
Experience developing and executing large-scale infrastructure efficiency or optimization programs across network, hardware, or data center systems
Experience applying quantitative techniques and scenario modeling to drive complex infrastructure investment decisions
Experience distilling technical and operational data into executive-level communications, recommendations, and decision frameworks
Experience collaborating across engineering, finance, construction, and operations organizations to align on infrastructure planning strategies
Preferred Qualifications
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience with data center power infrastructure, cooling systems, or facility design as it relates to capacity and efficiency planning
Advanced degree in engineering, operations research, business, or a related technical field
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ability to integrate AI tools to optimize analytical workflows and drive measurable improvements in planning accuracy or efficiency
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience developing capacity planning models that incorporate hardware lifecycle, network topology, and service placement constraints
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses.
When Facebook launched in 2004, it changed the way people connect.
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Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America:$202,000/year to $273,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.
In addition to base compensation, Meta offers benefits.
Learn more about benefits at Meta.
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You may view our Equal Employment Opportunity notice here.
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Equal Employment Opportunity Metais proud to be an Equal Employment Opportunity employer.
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