Product Manager - Growth & Monetization

Meta Meta · Big Tech · Singapore

Product Manager for Growth & Monetization at Meta, focusing on new standalone consumer app exploration and growth. The role involves driving 0->1 product development, leveraging agentic workflows, and critically evaluating AI's role in product strategy. Responsibilities include defining product vision, roadmaps, and strategies using AI capabilities, championing AI-native approaches with comprehensive evals and data strategies, and scaling AI best practices across the organization. The role also emphasizes using AI-enabled tools to transform team velocity and orchestrating complex execution with AI automation and human oversight. A key aspect is defining and running evaluations (evals) for AI-powered experiences and integrating AI tools to optimize workflows.

What you'd actually do

  1. Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies and roadmaps in the context of broader organizational strategies and goals
  2. Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis
  3. Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement
  4. Drive product development with teams of engineers and designers, while maintaining team health
  5. Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially

Skills

Required

  • 10+ years product management and/or Product Design
  • 10+ years of experience working collaboratively with engineering, design and user research teams
  • Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution
  • Critical thinking and analytical leadership experience
  • Demonstrated proficiency using AI-enabled tools to build product artifacts at scale
  • Experience developing and championing AI-native strategies across organizations
  • Experience presenting to executive audiences
  • BA/BS in Computer Science or related field
  • Experience building 0-1 AI-native products, platform/ecosystem products, or marketplaces
  • Experience in a consumer focused technology company
  • Track record of scaling AI best practices across organizations
  • 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

  • agentic product development workflows
  • comprehensive evals
  • AI best practices
  • AI-enabled tools
  • agent orchestration

Other signals

  • AI-native strategies
  • agentic product development workflows
  • evals
  • AI best practices
  • AI-enabled tools