Strategy & Operations Lead, Capacity Ecosystems

Responsibilities

• Define and support the analytical frameworks and decision models that inform capacity ecosystem strategy, including demand and supply dynamics, fleet utilization trade-offs, and infrastructure investment prioritization
• Lead the development and evolution of the team's strategic roadmap, synthesizing inputs from infrastructure, finance, supply chain, and engineering partners into a coherent, prioritized plan
• Drive the most complex and ambiguous cross-functional programs end-to-end — scoping initiatives, building execution plans, aligning stakeholders, managing dependencies, and holding teams accountable to delivery milestones
• Identify systemic gaps in capacity planning processes and operational workflows, design solutions, and lead implementation across partner organizations
• Own the design and continuous improvement of team operating cadences, including business reviews, planning cycles, and goal-tracking frameworks that provide leadership with clear visibility into ecosystem health and strategic progress
• Prepare and deliver executive-level briefings, strategic recommendations, and program status communications that accurately represent capacity ecosystem priorities, risks, and decisions
• Serve as a thought partner to the Director of Capacity Ecosystems and other leaders, pressure-testing strategies, surfacing risks early, and proposing course corrections based on data
• Build and scale internal knowledge-sharing and communication mechanisms that keep cross-functional partner organizations aligned on capacity ecosystem strategy and program progress
• Conduct deep-dive analyses on infrastructure capacity topics — including AI compute scaling, data center supply chain economics, and ecosystem bottlenecks — to surface insights that shape long-term strategy

Minimum Qualifications

• 8+ years of experience in strategy and operations, program management, management consulting, or equivalent roles within large-scale technology or infrastructure organizations
• Demonstrated experience leading complex, cross-functional programs with multiple workstreams and senior stakeholders, from initial scoping through delivery and retrospective
• Experience building quantitative models, scenario analyses, and data-driven decision frameworks applied to capacity planning, supply chain, infrastructure investment, or analogous domains
• Experience communicating strategic recommendations, program status, and analytical findings to executive audiences through written briefings, structured presentations, and business reviews
• Experience driving accountability and alignment across teams without direct reporting authority, including escalation management and cross-functional dependency resolution

Preferred Qualifications

• 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
• Experience building operational processes, goal-tracking systems, or business review cadences from the ground up in ambiguous, rapidly evolving environments
• Background in infrastructure capacity planning, cloud operations, data center supply chain, or AI compute scaling at a hyperscale technology company
• MBA or advanced degree in a quantitative or business discipline

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Pay

$162,000/year to $227,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location.