Product Management, Director

Meta Meta · Big Tech · Menlo Park, CA

Director of Product Management at Meta, leading teams to ideate, develop, and launch innovative consumer products. This role involves managing product leaders, defining product strategy, and ensuring successful product execution. The position requires experience in building 0-1 products and integrating AI tools responsibly to improve workflows and user satisfaction, with a focus on ethical AI practices and continuous AI skill development.

What you'd actually do

  1. Lead a team through the ideation, technical development, and launch of innovative products
  2. Attract, build, manage, and develop a talented team of product leaders with a broad range of experiences, perspectives, approaches, and backgrounds
  3. Establish shared vision across the company by building consensus on strategies and priorities leading to product execution
  4. Drive product development with a team of world-class engineers and designers
  5. Define and analyze metrics that inform the success of products

Skills

Required

  • Product Management
  • Product Design
  • Team leadership
  • Cross-functional collaboration
  • Product strategy
  • Product execution
  • User satisfaction
  • Metrics analysis
  • Critical thinking
  • Analytical leadership
  • Executive presentation
  • Building 0-1 products
  • Platform/ecosystem products
  • Marketplaces
  • AI tools integration
  • Responsible AI practices
  • Ethical AI practices
  • AI skill development
  • Prompt engineering
  • Agent orchestration

Nice to have

  • BA/BS in Computer Science or related field
  • Consumer focused technology company experience

What the JD emphasized

  • 12+ years of experience in Product Management and/or Product Design
  • 12+ years of experience working collaboratively with engineering, design and user research teams
  • 8+ years of experience hiring, managing, and developing both individual contributors and senior leaders
  • 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