Description

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.

Technical Program Manager, FOA Capacity & Efficiency Responsibilities:

• 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)

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. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. 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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

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 [email protected].

$245,000/year to $309,000/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.