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Data Center Capacity Manager

Meta

$162,000 - $229,000
Sep 11, 2025
San Francisco, CA, USA • Menlo Park, CA, USA • Bellevue, WA, USA
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Meta is looking to solve the problem of managing its rapidly growing demand for AI and its family of products and services by building a global data center roadmap and developing end-to-end infrastructure plans.

Requirements

  • Technical experience with SQL and reporting on large datasets
  • PMP certification
  • Relevant experience in infrastructure planning, with a focus on managing data center capacity and projects

Responsibilities

  • Collaborate cross-functionally and leverage conflict management skills to triage issues around capacity, including delays or accelerations, to identify mitigation strategies and leadership recommendations to support growth in AI and Meta’s family of products and services
  • Develop and manage our data center program, ensuring our data center plans meet the needs of our products and services and managing the source of truth signals to leadership and executive-level communications with metrics and reporting
  • Play a critical role in managing data center supply planning programs, ensuring on-time delivery, meeting our SLAs, and source-of-truth data integrity
  • Develop process improvement recommendations around our data center capacity program, streamlining cross-functional collaboration, dependencies between teams, and reducing cycle time
  • Lead systems and tooling efforts to improve data quality and evolve data management at a cross-org level scale

Other

  • Bachelor's degree in a directly related field, or equivalent practical experience
  • 8+ years of professional experience in technology strategy/consulting, technical program management, or supply chain optimization
  • Demonstrates business acumen and intuition, with experience in managing complex cross-functional teams to identify resolutions
  • Experience in managing multiple projects simultaneously, rigorously prioritizing initiatives, and adapting to change
  • Analytical and quantitative, with the experience to constructively engage with analysts, data science and engineering, and user experience research partners to frame and interpret sophisticated analyses