Strategy & Operations Lead, Capacity Ecosystems

Meta; San Francisco (CA); On-site; USD 162,000 - 227,000; Full time

Job summary

Meta is seeking a Strategy & Operations Lead for its Capacity Ecosystems group in San Francisco. You will define analytical frameworks, drive the strategic roadmap, and execute high-priority cross-functional programs across AI, data centers, and compute ecosystems.

The role requires 8+ years in strategy/ops, strong cross-functional leadership, and the ability to influence without direct authority. You will present executive briefings and partner with senior leaders to align on priorities and

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.

Responsibilities

• Define and support analytical frameworks and decision models informing capacity ecosystem strategy.
• Lead the development and evolution of the team's strategic roadmap with inputs from infrastructure, finance, supply chain, and engineering partners.
• Drive complex cross-functional programs end-to-end: scoping initiatives, execution plans, dependencies, and delivery milestones.
• Identify systemic gaps in capacity planning processes and lead cross-organizational implementation of solutions.
• Own design and continuous improvement of team cadences: business reviews, planning cycles, and progress tracking.

Skills

Strategy & operations experience

Cross-functional program leadership

Quantitative modeling

Executive communications

Influence without authority

Education

MBA or advanced degree

Job description

Summary

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.

Required Skills

1. 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

2. 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

3. 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

4. Identify systemic gaps in capacity planning processes and operational workflows, design solutions, and lead implementation across partner organizations

5. 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

6. Prepare and deliver executive-level briefings, strategic recommendations, and program status communications that accurately represent capacity ecosystem priorities, risks, and decisions

7. 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

8. Build and scale internal knowledge-sharing and communication mechanisms that keep cross-functional partner organizations aligned on capacity ecosystem strategy and program progress

9. 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

1. 8+ years of experience in strategy and operations, program management, management consulting, or equivalent roles within large-scale technology or infrastructure organizations

2. Demonstrated experience leading complex, cross-functional programs with multiple workstreams and senior stakeholders, from initial scoping through delivery and retrospective

3. Experience building quantitative models, scenario analyses, and data-driven decision frameworks applied to capacity planning, supply chain, infrastructure investment, or analogous domains

4. Experience communicating strategic recommendations, program status, and analytical findings to executive audiences through written briefings, structured presentations, and business reviews

5. Experience driving accountability and alignment across teams without direct reporting authority, including escalation management and cross-functional dependency resolution

Preferred Qualifications

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

2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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

5. Experience building operational processes, goal-tracking systems, or business review cadences from the ground up in ambiguous, rapidly evolving environments

6. Background in infrastructure capacity planning, cloud operations, data center supply chain, or AI compute scaling at a hyperscale technology company

7. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

8. MBA or advanced degree in a quantitative or business discipline

9. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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

Public Compensation

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

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and affirmatively 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].