战略与运营负责人，能力生态系统

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

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

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

Demonstrated ability to integrate AI tools into analytical or operational workflows to drive measurable efficiency gains or quality improvements

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

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

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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Individual compensation is determined by skills, qualifications, experience, and location.

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In addition to base compensation, Meta offers benefits.

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8+ years of experience in strategy and operations, program management, management consulting, or equivalent roles within large-scale technology or infrastructure organizations.