Product Manager, Agent Enablement

Meta Product Managers work with cross-functional teams of engineers, solutions architects, data scientists and customer-facing partners to take conversational AI agents from prototype to production s is a deeply technical, hands-on role for someone who has already shipped and operated live agentic systems in front of real users, and who can own end-to-end system design, evaluation and hill climbing while leading AI transformation with our largest partners.

• 1. Be responsible for leading and driving a complex product area
• 2. defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context.
• 3. Adapt and adjust your strategies to reflect learnings and changes in context.
• 4. Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area.
• 5. Identify when to stop as well as when to start investment.
• 6. Critically evaluate when AI is (and isn't) the optimal solution, with sophisticated articulation of tradeoffs, risks, and second-order effects.
• 7. Translate AI capabilities into compelling product visions that create differentiated value.
• 8. Develop and champion AI-native strategies including comprehensive evals and data strategies that enable continuous improvement.
• 9. 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.
• 10. Actively identify opportunities and resolve dependencies by creating shared strategies across teams in adjacent product areas.
• 11. Reimagine workflows, responsibly using AI tools to dramatically increase team velocity and capability.
• 12. Foster a culture of rapid experimentation and learning across the organization.
• 13. Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the org's capability compounds over time.
• 14. Support the growth of other PMs and cross-functional team members by providing mentorship and coaching on AI-native practices.
• 15. Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals.
• 16. Orchestrate complex execution across multiple work streams by combining AI automation with strategic human oversight-using AI to reduce toil while maintaining high quality and accountability.
• 17. Communicate product strategy and progress with radical clarity to all stakeholders.
• 18. Use AI-enabled tools to build products-independently creating tangible artifacts to prototype, validate, or ship.
• 19. Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning.
• 20. Demonstrate deep understanding of system/architecture trade-offs and how they impact user experience and business outcomes
• 21. lead credible technical discussions with engineering partners.
• 22. Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization.
• 23. Design sophisticated experiments and interpret results (leveraging AI to accelerate analysis) and drive concrete product decisions.
• 24. Define and run evaluations to interpret model outputs and adjust execution based on learnings-establishing evaluation as a first-class product practice across teams.

• 25. 8+ years of relevant industry experience with at least 3 years in Product Management
• 26. Demonstrated ability to derive product direction from production system data - deciding what to build next from evals, telemetry and user failure modes rather than from stated requirements
• 27. Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels
• 28. Experience leading and motivating teams and influencing across an organization
• 29. Demonstrated proficiency using AI-enabled tools to build product artifacts
• 30. Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy
• 31. Experience identifying and hiring the right talent to build an AI-capable cross-functional team
• 32. Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data
• 33. Experience with comprehensive AI evals, monitoring and data strategies that enable continuous improvement of deployed AI systems
• 34. Proven experience…