Product Manager, Infrastructure Capacity Planning

Meta; Menlo Park (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Meta is seeking a Product Manager for the SPACE team within Infrastructure to plan and optimize capacity and resources for scalable compute infrastructure. You will work closely with engineering, data science, finance, and supply chain to drive cross-functional initiatives.

The role involves executive-level engagement and shaping infrastructure strategy during rapid AI growth. The ideal candidate has 10+ years in product management or design, experience presenting to executives, and a strong

Qualifications

• Experience navigating full product life cycle and synthesizing customer feedback into requirements.
• Proven ability to influence cross-functional teams and executives.
• Background in data center infrastructure, capacity planning, or related domains.
• Demonstrated AI skills development and ability to apply AI tools to workflows.

Responsibilities

• Plan and optimize infrastructure resources to meet capacity targets.
• Drive cross-functional programs across engineering, data science, finance, supply chain and data centers.
• Partner with product teams across Meta's platforms to align investments with business outcomes.
• Engage with executives and shape infrastructure strategy during AI-driven growth.

Skills

Product management

Executive presentations

Cross-functional leadership

Analytical decision making

AI tool integration

Supply chain & capacity modeling

Data center capacity planning

Strategic thinking

Education

BA/BS in Computer Science or related field

Job description

Meta's Infrastructure organization provides the backbone on which the company operates — and today, this importance is significantly amplified by the vision of Super Intelligence. As a Product Manager on the Supply Planning And Capacity Ecosystems (SPACE) team, you will build products, tools, and policies that enable compute infrastructure to scale efficiently, supporting the massive demand powering our social media products and AI initiatives.

Capacity is a company investment priority and strategic differentiator. You will plan and optimize infrastructure resources, set capacity targets, and drive cross-functional teams — spanning engineering, data science, finance, supply chain, and data center construction — to meet those targets. You will also partner with product teams across Facebook, Instagram, WhatsApp, and monetization to align investment decisions with business outcomes during a period of rapid AI growth and new hardware adoption.

This role spans executive-level engagement and offers the opportunity to build lasting systems at scale. The team values collaboration, mentorship, and cross-functional problem-solving. If you're excited by navigating complex tradeoffs and shaping infrastructure strategy during transformative shifts, this role may be a strong fit.

• 10+ years Product Management and/or Product Design 10+ years of experience partnering with engineering, design, and user research teams to deliver technical products
• Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre/post-launch execution
• Critical thinking/analytical leadership experience
• Experience presenting to executive audiences
• BA or BS in Computer Science or related field
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience developing product solutions for analytical modeling of supply chain and capacity decision making
• Deep background in data center infrastructure, capacity planning, and/or server demand planning for technology companies. Candidates with capacity management experience from adjacent domains (e.g., cloud, networking, supply chain) will also be considered
• 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)