Capacity Planning Optimization Lead - Fleet Economy and Planning

Meta•Boston, MA

4d•$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 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.

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
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

Nice To Haves

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)

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