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Technical Program Manager, FOA Capacity & Efficiency

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Meta
Full Time position
Listed on 2026-07-01
Job specializations:
  • Business
    AI Business & Operations, Operations Manager
Salary/Wage Range or Industry Benchmark: 245000 - 309000 USD Yearly USD 245000.00 309000.00 YEAR
Job Description & How to Apply Below

Summary

Define, track, and drive capacity efficiency targets across Facebook, Messenger, and Meta recommendation systems. Set targets with central Infrastructure and Finance, drive implementation with Capacity Tooling Engineers, and shift accountability to product teams.

Required Skills
  • Manage $500M+ capacity efficiency programs with targets embedded in the company financial plan (long-range and mid-cycle financial planning processes) — own the translation between MW freed, $ICE saved, and capex impact
  • Negotiate pre-fetched budget deductions with Finance and Infra using bottom-up technical feasibility (platform headroom, fulfillment timelines, supply constraints)
  • Structure "net savings" commitments (~5% annual capacity return) across multiple top-level organizational budgets with quarterly cadence management
  • Drive fluency across compute, storage, and GPU/AI resource types — reason about fleet-wide utilization (GPU SM utilization, memory efficiency, training vs. inference tradeoffs) and translate into product team action
  • Navigate supply-constrained environments (DRAM/HDD shortages, AI build competition) — identify which efficiency levers (virtual capacity pooling, elastic resource allocation, heterogeneous hardware, and cloud offload) close specific supply gaps
  • Translate program needs into engineering requirements for capacity tooling teams — drive adoption of defensive systems (pre-prod regression detection, prod regression recovery), automation (agentic efficiency at scale), and enforcement mechanisms (launch gates, policy-based quotas)
  • Design operating models that shift efficiency from central-team-driven ad hoc efforts to product-team-owned commitments — build DRI/EffPOC structure, quarterly balance sheets, and launch-efficiency tradeoff frameworks
  • Align product eng, infra platform, and finance stakeholders against shared outcomes at Director/VP level across all three organizations
  • Translate fluently between product language ("unblock my launches"), infra language ("MW freed"), and finance language ("$ICE / capex impact")
  • Minimum Qualifications
  • Experience managing large-scale capacity or infrastructure efficiency programs ($500M+)
  • Experience with infrastructure resource types including compute, storage, and GPU/AI systems
  • Experience working across product engineering, infrastructure, and finance organizations
  • Experience with financial planning processes (long-range and mid-cycle financial planning) and translating technical outcomes to financial impact
  • Experience designing and implementing cross-organizational operating models and accountability frameworks
  • Preferred Qualifications
  • Experience building measurement and tracking systems for efficiency programs
  • Experience with large-scale capacity planning and efficiency tooling ecosystems
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • 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/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience codifying program operating rhythms that scale beyond individual contributors
  • Experience with GPU utilization optimization (SM utilization, memory efficiency, training vs. inference tradeoffs)
  • Experience navigating supply-constrained environments (DRAM/HDD shortages, AI infrastructure competition)
  • Compensation

    $245,000/year to $309,000/year + bonus + equity + benefits

    Industry

    Internet

    Equal Opportunity

    Meta is proud to be an Equal Employment Opportunity and Affir... Meta is proud to be an Equal Employment Opportunity and Affir...

    Meta is proud to be an Equal Employment Opportunity and Affir... (Full EEO statement as provided in the original description)

    Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

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