Product Manager, Apac

Meta Meta · Big Tech · Singapore

Product Manager for Cross-Meta Foundations APAC Products, focusing on commerce and creator monetization. The role involves defining product strategy, driving adoption, and scaling AI-native solutions and best practices across APAC markets. Key responsibilities include translating AI capabilities into product visions, developing AI strategies with evals and data strategies, and fostering experimentation and learning.

What you'd actually do

  1. Be responsible for leading and driving a complex product area; defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context
  2. Translate AI capabilities into compelling product visions that create differentiated value
  3. Develop and champion AI-native strategies including comprehensive evals and data strategies that enable continuous improvement
  4. 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-leveling the effectiveness of the team
  5. Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the organization's capabilities compounds over time

Skills

Required

  • 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
  • Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product
  • Demonstrated proficiency using AI-enabled tools to build product artifacts
  • Experience developing and scaling AI-native strategies including evals and data strategies across teams
  • Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, qua

Nice to have

  • STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
  • Familiarity and/or experience building within commerce, creator economy, or advertising partnership ecosystems

What the JD emphasized

  • AI-native strategies
  • evals
  • responsible AI use
  • AI tools

Other signals

  • AI-native strategies
  • AI tools
  • evals
  • responsible AI