Product Manager, Agent Enablement

Meta Product Managers

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 at scale. This 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 hillclimbing while leading AI transformation with our largest partners.

Responsibilities

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