Product Manager

Meta Meta · Big Tech · Menlo Park, CA +2

Product Manager at Meta responsible for driving AI-powered product initiatives, defining success metrics, prioritizing product problems, and coordinating with cross-functional teams. Requires experience integrating AI tools, implementing ethical AI practices, and demonstrating ongoing AI skill development.

What you'd actually do

  1. Be responsible for driving one or more projects within a product area.
  2. Define success metrics, prioritize product problems and identify the best solutions to achieve the overall goals
  3. Work with the cross-functional team to develop a roadmap, drive progress against milestones and resolve blockers, whilst maintaining team health
  4. Gather and analyze user research, product insights and market analysis to inform product decisions
  5. Coordinate effectively across all functions relevant to your product area, aligning and influencing roadmaps where appropriate

Skills

Required

  • 3+ years product management or related industry experience
  • Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
  • Experience working with a cross-functional product team on key product projects: Crafting product mission and strategy, defining product requirements, and driving the team to achieve key milestones and goals
  • Proven experience to have an impact on the product outcomes and improve the effectiveness of a product team
  • Extensive understanding to analyze data and deploy it to make the right decisions for a product
  • Experience using a mixture of approaches to understand requirements from users and identifying the appropriate product solution
  • Experience leading and motivating a product team
  • Clear and concise communication
  • 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

What the JD emphasized

  • 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