Capacity Planning Optimization Lead

Meta•Boston, MA

1d•$219,000 - $301,000

About The Position

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.

Requirements

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
Bachelor’s degree in a management, technical or engineering field
16+ years of experience working in Infrastructure/Cloud/Hardware with a background in Strategy, Capacity Planning, Supply Chain Optimization, 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

Nice To Haves

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ability to integrate AI tools to optimize/redesign 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)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Direct experience designing and establishing new infrastructure planning processes from the ground up at a hyperscale cloud or infrastructure provider

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 end-to-end Integrated Planning processes and methodologies across Strategic, Tactical/Operations, and Execution horizons and granularities
Align requirements and expectations across all technical and business functions
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
Manage unplanned emergent capacity requirements across all horizons in a constrained environment
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 planning processes and decisions, including executive-level communications and status updates
Use technical judgment and experience to contribute to tools and technology strategy for Planning
Work cross-functionally to define problem statements, collect data, and make recommendations to drive change and optimization at the company level