Product Manager

Meta Meta · Big Tech · Menlo Park, CA +1 · Remote

Product Manager at Meta focused on AI-based applications and generative AI products. Responsibilities include driving product strategy, defining requirements, collaborating with ML teams, and managing the product lifecycle. Requires experience in product management, AI product strategy, technical architecture, and data analysis.

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. Consistently demonstrate initiative and execute with limited oversight.
  3. Plan, initiate, and manage information technology projects for web-based products, applications, and platforms.
  4. Drive product development with teams of engineers and designers, while maintaining team health.
  5. Define and analyze metrics that inform the success of products.

Skills

Required

  • Product management
  • Product design
  • Requirements gathering
  • Product strategy development for AI-based applications and systems
  • Technical architecture design
  • User interface design
  • Technical presentation and documentation
  • Data analysis for large-scale datasets
  • Strategy development for generative AI products
  • prompt engineering
  • output evaluation
  • Product lifecycle management
  • customer feedback integration
  • feature prioritization
  • launch execution

Nice to have

  • Master's degree in Computer Science, Engineering, Information Systems, or a related field

What the JD emphasized

  • Product strategy development for AI-based applications and systems
  • Strategy development for generative AI products in collaboration with machine learning teams
  • prompt engineering and output evaluation

Other signals

  • Product strategy development for AI-based applications and systems
  • Strategy development for generative AI products in collaboration with machine learning teams
  • prompt engineering and output evaluation