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Open nowFirst seen 2 days ago

Senior Strategy & Ops Manager, Infra Capacity Ecosystems

Meta1,071 open roles

Where
Los Angeles, CA; Bellevue, WA; Menlo Park, CA; Seattle, WA; New York, NY; San Francisco, CA
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Your applicationOpen nowSenior Strategy & Ops Manager, Infra Capacity EcosystemsMeta · Los Angeles, CA; Bellevue, WA; Menlo Park, CA; Seattle, WA; New York, NY; San Francisco, CA

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: first seen 2 days ago

Meta median: 35 days open

The posting

Meta's Infrastructure team is looking for a Senior Strategy & Operations Manager to join the Supply Planning and Capacity Ecosystems (SPACE) org.

This is a high-autonomy, principal-level lead who will serve as a strategic partner supporting and enabling the Infra SPACE (Strategy, Planning, Allocation & Capacity Ecosystems) org. SPACE is responsible for creating the end-to-end infrastructure plan and driving its delivery — including from the broader infrastructure ecosystem of suppliers. You'll partner directly with the Sr Director of Capacity Ecosystems and VP-level leadership to drive operational excellence, lead critical strategic projects, and ensure preparedness for key decisions that shape how Meta plans, allocates, and optimizes infrastructure capacity at global scale.

This role requires experience in leadership enablement, organizational operations, and cross-functional execution. You should be someone who combines deep infrastructure or technology fluency with executive-level influence, who can break down complex problems into structured frameworks and actionable plans, and who has a track record of both shaping strategy and executing at the intersection of technology and business.

Responsibilities

  • Serve as a primary strategic thought partner to the Director of Capacity Ecosystems and infra leadership on capacity strategy, organizational direction, and critical trade-offs
  • Develop original frameworks that shape how Meta thinks about capacity at an enterprise level — connecting compute, storage, network, AI/ML accelerators, data center footprint, and supply chain into a cohesive decision-making model
  • Represent Capacity Ecosystems' point of view in leadership forums, influencing infrastructure-wide and company-wide resource allocation and investment decisions
  • Own and drive 2–3 of the team's highest-complexity initiatives end-to-end — from problem framing and stakeholder alignment through cross-functional coordination and delivery of measurable outcomes
  • Lead programs across industry partnerships, financial operations, and people operations — translating strategic decisions into concrete workstreams with clear milestones, ownership, and accountability
  • Step in as the direct executor on ambiguous, high-stakes problems without a clear owner — building from zero to one and handing off with a functioning operating model. Engage with external partners and support deals as needed
  • Maintain rigorous follow-through: track progress, surface risks, drive resolution on blockers, and ensure initiatives land (not just launch)
  • Own the rhythm of business — designing and running the cadences, decision rights, information flows, and governance structures that enable effective strategy execution across a complex, matrixed organization
  • Run high-priority meetings end-to-end; streamline processes and build the goal-setting architecture (OKRs, KPIs) and business review frameworks the broader team runs on
  • Identify systemic challenges — misaligned incentives, structural gaps, unclear ownership — and implement solutions that improve how capacity decisions get made across Infrastructure
  • Develop content for Meta's senior leaders — executive briefings, board-level materials, and strategic communications that convey capacity strategy, risks, and investment rationale to the most senior audiences

Minimum Qualifications

  • 12+ years of experience in strategy, operations, or management consulting within technology/infrastructure organizations, with demonstrated progression in scope and impact
  • Track record of both shaping strategy at an organizational level AND personally driving complex initiatives to delivery — not just advising, but owning outcomes
  • Experience as a trusted strategic advisor to VP-level or equivalent executives, with demonstrated ability to influence without authority across senior leadership
  • Exceptional analytical and problem-structuring skills — ability to create clarity from ambiguous, high-stakes problems through structured frameworks and quantitative rigor
  • Executive-level communication skills: ability to distill complex infrastructure and business dynamics into crisp narratives for SVP/VP audiences
  • Experience leading large-scale, cross-functional initiatives in complex, matrixed organizations from concept through measurable delivery
  • Bachelor's degree in economics, business, or a quantitative discipline (or equivalent practical experience)

Preferred Qualifications

  • MBA or advanced degree
  • Background in top-tier management consulting or senior internal strategy roles at large technology companies — with a bias toward "do" over "recommend."
  • Familiarity with infrastructure capacity planning, cloud economics, data center strategy, hardware roadmaps, or supply chain operations at hyperscale
  • Experience navigating multi-billion-dollar capital allocation environments
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to drive operating model changes that improved decision-making quality and speed
  • Experience with deal structures and financial concepts
  • 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)

US: $193,000/year to $269,000/year + bonus + equity

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