Product Manager (leadership)

Meta Meta · Big Tech · London, United Kingdom

Product Manager (Leadership) at Meta in London, UK, responsible for leading complex product areas, defining strategy, prioritizing opportunities, and driving progress with cross-functional teams. Requires 8+ years of experience, including 3+ in Product Management, with a strong understanding of data analysis, full product lifecycle management, and integrating AI tools responsibly.

What you'd actually do

  1. Be responsible for leading and driving a complex product area; defining success, prioritizing problems and identifying the best stategies, considering wider organizational and company context.
  2. Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area.
  3. Work with a cross-functional team to define a product vision, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, whilst improving team health and up-levelling the effectiveness of the team
  4. Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization
  5. Communicate product strategy and progress with radical clarity to all stakeholders

Skills

Required

  • Product Management
  • Cross-functional team leadership
  • Product strategy definition
  • Roadmap development
  • Data analysis
  • User research
  • Market analysis
  • Stakeholder communication
  • Team mentorship and coaching
  • AI tool integration
  • Responsible AI practices
  • AI skill development

Nice to have

  • STEM degree

What the JD emphasized

  • 8+ years of relevant industry experience with at least 3 years in Product Management
  • Experience leading cross-functional product team(s) across a full product line
  • Experience managing a product through the full product lifecycle
  • Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product
  • Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data
  • 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