Strategy & Operations Lead, Capacity Ecosystems

Meta; Seattle (WA); On-site; USD 162,000 - 227,000; Full time

Job summary

Meta's Infrastructure organization is seeking a Strategy & Operations Lead to join the Capacity Ecosystems team. This role balances strategic planning, analytical rigor, and large-scale program execution to govern how Meta plans, allocates, and scales infrastructure capacity across AI, data center, and compute ecosystems.

You will define operating models, frameworks, and rhythms, drive high-priority cross-functional initiatives from framing to measurable outcomes, and influence decisions across

Qualifications

• 8+ years of experience in strategy and operations within large-scale technology or infrastructure organizations.
• Experience leading complex, cross-functional programs with senior stakeholders.
• Experience building quantitative models and data-driven decision frameworks for capacity planning or similar domains.
• Experience communicating strategic recommendations to executive audiences via presentations and briefings.
• Ability to drive accountability across teams without direct reporting authority.

Responsibilities

• Define and support analytical frameworks and decision models for capacity ecosystem strategy.
• Lead development of the team's strategic roadmap by synthesizing inputs from multiple partners.
• Drive complex cross-functional programs end-to-end from scoping to delivery milestones.
• Identify gaps in capacity planning processes and lead implementation across partners.
• Own design and improvement of team operating cadences with leadership visibility.
• Prepare executive briefings and strategic recommendations reflecting priorities and risks.
• Partner with senior leaders to test strategies and propose course corrections based on data.
• Build knowledge-sharing and communication mechanisms across cross-functional teams.
• Conduct in-depth analyses on AI compute scaling and data center bottlenecks to shape long-term strategy.

Job description

Meta's Infrastructure organization is seeking a Strategy & Operations Lead to join the Capacity Ecosystems team. This role sits at the intersection of strategic planning, analytical rigor, and large-scale program execution — supporting the decisions and operational systems that govern how Meta plans, allocates, and scales its infrastructure capacity across AI, data center, and compute ecosystems. You will operate with significant autonomy, define the frameworks and operating models the team relies on (including frameworks that support the org's rhythm of business), and drive high priority cross-functional initiatives from problem framing through to measurable outcomes. This is a role for someone who thrives in ambiguity, brings structure to complex multi-stakeholder environments, and can influence outcomes at the organizational level without direct authority.

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
• 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)
• MBA or advanced degree in a quantitative or business discipline
• 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)

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$162,000/year to $227,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.