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Product Manager, Product

Job in Seattle, King County, Washington, 98127, USA
Listing for: Meta
Full Time position
Listed on 2026-07-21
Job specializations:
  • Business
    AI Business & Operations, Product Manager
Salary/Wage Range or Industry Benchmark: 146000 - 204000 USD Yearly USD 146000.00 204000.00 YEAR
Job Description & How to Apply Below
Position: Product Manager, Central Product

Summary

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly and demonstrate AI-native product development practices.

Required Skills

Product Manager, Central Product Responsibilities:

  • Responsible for leading a product area
  • defining success metrics, prioritizing product problems and identifying the best strategies for the product, aligned with the organizational goals.
  • Adapt and adjust your strategy to reflect learnings and changes in the product.
  • Critically evaluate when AI is (and isn't) the right solution for user problems, with clear articulation of tradeoffs and risks.
  • Translate AI capabilities into compelling product visions grounded in real user value.
  • Develop AI-native strategies including evals strategy and data strategy that enable iteration and measurable quality improvements.
  • Leverage AI for identifying opportunities through deep market research, user feedback synthesis, and competitive analysis.
  • Work with a cross-functional team to define a product, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, while maintaining team health.
  • Reimagine workflows, responsibly using AI tools to increase personal and team velocity (e.g., faster synthesis, clearer decision docs, tighter iteration loops).
  • Foster a culture of rapid experimentation and learning, especially around AI-powered product development.
  • Scale AI best practices (including responsible AI use) and proficiency across product teams to multiply impact.
  • Provide mentorship and coaching to other Product Managers and cross-functional team members on AI-native practices.
  • Coordinate proactively across partner functions for product success.
  • Structure shared roadmaps for best outcomes.
  • Orchestrate complex execution across multiple work streams by combining AI automation with appropriate human oversight.
  • Communicate product strategy and progress with clarity to all stakeholders.
  • Use AI-enabled tools to build products—prototyping, validating, or shipping tangible artifacts independently.
  • Interpret research and state-of-the-art learnings to design product strategy and apply logical reasoning.
  • Understand system/architecture trade-offs and how they impact user experience and business priorities and engage credibly with engineering partners on constraints and decisions.
  • Design experiments and interpret results (leveraging AI to accelerate analysis) and turn insights into concrete decisions.
  • Define and run evaluations (evals) to interpret model outputs and adjust execution based on learnings—treating evaluation as a first-class product practice.
  • Minimum Qualifications
  • 5+ years of relevant industry experience with at least 2 years in Product Management
  • Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
  • Experience working with a cross-functional product team on a significant product area:
    Crafting product vision and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals
  • Experience managing a product through multiple product life cycle phases
  • Proven experience to drive a material change in the performance of a product and the effectiveness of the team that delivers that product
  • Demonstrated experience to analyze large scale, complex data sets and making effective decisions based on data
  • Experience using AI-enabled tools to build product, prototypes, or other tangible product artifacts
  • Demonstrated ability to develop AI-native strategies including evals and data strategies
  • Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy
  • Experience leading and motivating a product team and collaborating with partner teams
  • Demonstrated experience in communication, bringing extreme clarity to complex and technical messages at the appropriate level for the audience
  • Preferred…
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