Performance & Capacity Engineer - Capacity Planning Optimization (Leadership)

About the role

Meta is seeking a leader to join the Capacity Planning Optimization Engineering team to build and optimize infrastructure capacity planning processes and tools covering all of Meta. This is a hands-on leadership role, interfacing with executive leadership to run infrastructure Capacity Planning processes. You will design and contribute to planning software systems to increase efficiency and quality, working cross-functionally with engineering and business teams at the intersection of Meta products (Facebook, Instagram, WhatsApp), physical infrastructure (servers, data centers, network), and business goals (AI, Metaverse). Your work will drive strategic decisions at the CxO level and provide execution guidance for infrastructure and product teams.

Responsibilities

• Own infrastructure capacity planning for all of Meta, including software products/services and scaling server and data center resources efficiently.
• Partner across engineering teams to optimize at the intersection of hardware, infrastructure, and software. Collaborate with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams.
• Design and contribute to analytical models connecting business strategy with technical execution, including regional and temporal bin-packing, optimal service placement, traffic shifts, service migrations, and hardware refresh.
• Lead company-wide Capacity Planning business processes across technical and non-technical contributors while delivering complex components yourself.
• Partner with Finance and business teams to balance cost efficiency with technical and product considerations.
• Work cross-functionally to define problem statements, collect data, build software-driven models, and make recommendations to drive company-level change and optimization.

Requirements

• Experience with planning for large-scale technical infrastructure and distributed systems.
• Demonstrated success leading large technical infrastructure planning projects and initiatives, including defining goals, managing ambiguity, and leading engineers and non-technical contributors.
• Demonstrated success working with executive-level audiences and partners.
• Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a relevant technical field, or equivalent practical experience.
• Experience programming in Python, C++, or similar languages.
• 10+ years of experience in Engineering, Data Science, or Operations Research.

Preferred Qualifications

• Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
• Experience building "Zero to One" systems and processes from scratch with ambiguous requirements.
• Experience with mathematical optimization and solvers.
• Experience with technical infrastructure or capacity planning.

Pay

$219,000/year to $301,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location.

Benefits

Meta offers benefits including health, wellness, and financial programs. Learn more about benefits at Meta.