Capacity Planning Optimization Lead - Fleet Economy and Planning

Job description

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 processes and frameworks for pricing all virtual and physical resources at Meta, and overall Capacity Planning processes. 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.

Responsibilities

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

• Build, own, and execute cohesive policies, processes for cohesive end-to-end pricing of all Meta virtual and physical resources to incentivize fleet efficiency, enhance developer productivity, and enable financial management
• Design and operate Integrated Planning processes and methodologies across Strategic, Tactical/Operations, and Execution horizons and granularities 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
• Partner with Finance and business teams to balance cost efficiency with technical and product considerations
• Develop decision scenarios and trade-offs to drive multi-billion dollar infrastructure decisions at the highest levels of the organization
• Own the communications strategy for Pricing and Planning processes and decisions, including executive-level communications and status updates
• Use technical judgment and experience to contribute to tools and technology strategy for Pricing and Planning
• Work cross-functionally to define problem statements, collect data, and make recommendations to drive change and optimization at the company level

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor's degree in a directly related field, or equivalent practical experience
• 16+ years of experience working in Infrastructure/Cloud/Hardware with a background in Strategy, Capacity Planning, or technology strategy consulting Experience leading enterprise-level Planning processes with frequent executive interaction Experience distilling complex data and high ambiguity into actionable insights and recommendations, to quickly separate signal from noise for executive communication and decision-making Experience applying business and financial analysis to form and refine hypotheses into actionable recommendations Experience identifying and framing complex or ambiguous infrastructure problems, defining opportunity spaces, and developing actionable strategies Experience in completing multiple cloud, infrastructure, or hardware optimization projects
• Direct experience designing and establishing new infrastructure planning processes from the ground up at a hyperscale cloud or infrastructure provider
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)