Product Manager, Machine Learning

Meta Meta · Big Tech · Menlo Park, CA

Product Manager for Meta's Ad supply personalization on FB App, focusing on predicting user engagement and optimizing ad value using ML-based personalization, ranking, or recommendation services within ad-tech.

What you'd actually do

  1. Plan, initiate, and manage information technology projects for web-based products and platforms
  2. Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products
  3. Drive product development with teams of world-class engineers and designers, while maintaining team health
  4. Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
  5. Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction

Skills

Required

  • Product management experience
  • Experience in Machine Learning based personalization, ranking or recommendations services, or ad-tech
  • Bachelor's degree or foreign equivalent in a related technical field
  • Experience working in a technical environment with a broad, cross functional team
  • Experience delivering technical presentations
  • Experience analyzing complex, large-scale data sets
  • Experience gathering requirements across diverse areas and users
  • Technical experience with analytical tools, methodologies, and design
  • Leadership, organizational and execution skills
  • Communication skills

Nice to have

  • AI tools integration
  • Responsible, ethical AI practices
  • Ongoing AI skill development
  • Prompt/context engineering
  • Agent orchestration

What the JD emphasized

  • Machine Learning based personalization, ranking or recommendations services, or ad-tech
  • Experience delivering technical presentations
  • Experience analyzing complex, large-scale data sets and making 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