Senior Product Manager, Capacity & Supply Planning

Meta

Menlo Park (CA)

On-site

USD 220,000 - 320,000

Full time

9 days ago
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Job summary

Meta's Infrastructure organization seeks a Senior Product Manager for the SPACE team to design products, tools, and policies that scale compute infrastructure and power AI initiatives. You will plan capacity targets, coordinate with engineering, data science, finance, supply chain, and data center construction, and align investments with business outcomes amid rapid AI adoption.

This highly visible role requires executive engagement, consensus-building, and mentorship to improve cross-org

Qualifications

  • Experience leading product management for complex infrastructure or platform teams.
  • Strong strategic thinking and ability to influence executive stakeholders.
  • Proven track record delivering cross-functional initiatives at scale.

Responsibilities

  • Proactively identify important problems and set measurable objectives.
  • Build strategy and roadmap with cross-functional alignment.
  • Facilitate information flow and consensus on vision, priorities, and decisions.
  • Drive progress against roadmaps and maintain quality standards.
  • Support recruiting efforts and interview potential candidates.
  • Operate effectively in ambiguity and drive cross-org initiatives.
  • Lead large teams (30+), influence without direct authority, and escalate when needed.

Skills

Product management leadership
Executive communication
Cross-functional collaboration
AI tooling integration
Strategic planning
Data-driven decision making

Education

Extensive PM experience (12+ yrs)

Tools

Prompt engineering
Agent orchestration
AI workflows

Job description

Meta's Infrastructure organization seeks a Senior Product Manager for the SPACE team to design products, tools, and policies that scale compute infrastructure and power AI initiatives. You will plan capacity targets, coordinate with engineering, data science, finance, supply chain, and data center construction, and align investments with business outcomes amid rapid AI adoption.

This highly visible role requires executive engagement, consensus-building, and mentorship to improve cross-org

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