Capacity Planning Optimization Lead

Meta

Boston (MA)

On-site

USD 219,000 - 301,000

Full time

14 days+

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Job summary

Meta seeks a Performance and Capacity Engineer to drive efficiency and reliability across its global server fleet and data centers. You will build capacity models, benchmarking, and demand forecasting to inform large-scale infrastructure investments.

This role sits at the intersection of software performance, hardware utilization, and long-range capacity planning for Facebook, Instagram, WhatsApp, and AI workloads.

Qualifications

  • 16+ years of experience in Infrastructure/Cloud/Hardware with strategy/planning background.
  • Experience leading enterprise planning processes with executive interaction.
  • Ability to distill complex data into actionable executive insights.
  • Experience applying business and financial analysis to hypotheses.
  • Experience identifying infrastructure problems and developing strategies.
  • Experience completing multiple cloud/infrastructure optimization projects.

Responsibilities

  • Own infrastructure capacity planning for all Meta products and plans to scale resources.
  • Build end-to-end Integrated Planning processes across horizons and granularities.
  • Align requirements across technical and business functions.
  • Design and implement company-wide planning programs and methodologies.
  • Partner with Finance to balance cost efficiency with product needs.
  • Manage unplanned capacity requirements across horizons.
  • Develop decision scenarios for multi-billion infrastructure investments.
  • Own communications strategy for planning processes and updates.
  • Contribute to tools/technology strategy for Planning.
  • Collaborate cross-functionally to define problems and drive optimization.

Skills

Executive communication
Strategy & planning
Data interpretation
Cloud/Infrastructure

Education

Bachelor's in CS/Engineering
Bachelor's in related field
Bachelor's in management/engineering

Job description

Summary:

Meta is seeking a Performance and Capacity Engineer to drive infrastructure efficiency and reliability across Meta's global fleet of servers, data centers, and network resources. In this role, you will lead the development of capacity modeling frameworks, performance benchmarking methodologies, and demand forecasting strategies that directly inform multi-billion dollar infrastructure investment decisions. You will operate at the intersection of software performance analysis, hardware utilization, and long-range capacity planning, ensuring Meta's products (including Facebook, Instagram, WhatsApp, and AI workloads) are supported by infrastructure that scales efficiently and reliably.

Required Skills:
Capacity Planning Optimization Lead Responsibilities:
  1. Own infrastructure capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently

  2. Build, own, and execute cohesive end-to-end Integrated Planning processes and methodologies across Strategic, Tactical/Operations, and Execution horizons and granularities

  3. Align requirements and expectations across all technical and business functions

  4. Leverage technical experience and expertise, to design and build company-wide transformational Planning programs, strategies, and methodologies across Infrastructure to scale Meta’s infrastructure efficiently

  5. Partner with Finance and business teams to balance cost efficiency with technical and product considerations

  6. Manage unplanned emergent capacity requirements across all horizons in a constrained environment

  7. Develop decision scenarios and trade-offs to drive multi-billion dollar infrastructure decisions at the highest levels of the organization

  8. Own the communications strategy for planning processes and decisions, including executive-level communications and status updates

  9. Use technical judgment and experience to contribute to tools and technology strategy for Planning

  10. Work cross-functionally to define problem statements, collect data, and make recommendations to drive change and optimization at the company level

Minimum Qualifications:
  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

  2. Bachelor's degree in a directly related field, or equivalent practical experience

  3. Bachelor’s degree in a management, technical or engineering field

  4. 16+ years of experience working in Infrastructure/Cloud/Hardware with a background in Strategy, Capacity Planning, Supply Chain Optimization, or technology strategy consulting

  5. Experience leading enterprise-level Planning processes with frequent executive interaction

  6. Experience distilling complex data and high ambiguity into actionable insights and recommendations, to quickly separate signal from noise for executive communication and decision-making

  7. Experience applying business and financial analysis to form and refine hypotheses into actionable recommendations

  8. Experience identifying and framing complex or ambiguous infrastructure problems, defining opportunity spaces, and developing actionable strategies

  9. Experience in completing multiple cloud, infrastructure, or hardware optimization projects

Preferred Qualifications:
  1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

  2. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

  3. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

  4. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

  5. Direct experience designing and establishing new infrastructure planning processes from the ground up at a hyperscale cloud or infrastructure provider

Public Compensation:

$219,000/year to $301,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff…? 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 accommodations-ext@meta.com.

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