Product Manager, Agent Enablement

Meta; City of Westminster; On-site; GBP 120,000 - 180,000; Full time

Job summary

Meta is seeking a product leader to own and advance a conversational AI product area. You will define a compelling AI-native product vision, assemble and steer a cross-functional team across engineering, data science and partner groups, and drive end-to-end delivery from prototype to scalable production.

The role emphasizes data-driven decision making, rigorous evaluation of AI approaches, and scalable, responsible AI practices while guiding multiple workstreams and stakeholders toward

Qualifications

• 8+ years of relevant industry experience with at least 3 years in Product Management
• Ability to derive product direction from production system data (evals, telemetry, user failure modes)
• Proven ability to communicate complex technical concepts clearly across audiences
• Experience leading and motivating teams and influencing across an organization
• Experience integrating diverse user requirements into a single product strategy
• Experience hiring AI-capable cross-functional teams
• Deep data analytics skills for large datasets and data-driven decision making
• Experience deploying conversational AI in production environments with end-to-end impact

Responsibilities

• Define and own product vision and roadmap for a complex AI/ML product area
• Lead cross-functional teams including engineers, data scientists and partners
• Prioritize opportunities and translate learnings into actionable product bets
• Evaluate trade-offs and risks of AI approaches and architecture choices
• Drive end-to-end product delivery from prototype to production
• Scale AI capabilities while maintaining governance and responsible AI practices
• Mentor other PMs and build AI-native practices across teams
• Communicate strategy and progress with radical clarity to stakeholders

Skills

Cross-functional leadership

Data-driven decision making

Strategic AI product vision

Clear technical communication

Mentoring and coaching

Stakeholder alignment

Product strategy execution

Education

Advanced degree in Computer Science / ML or related field

Tools

AI eval frameworks

AI tooling integration

Job description

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

• 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 workstreams 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.

Requirements

• 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 to drive a step change in the performance of a product and the effectiveness of the team that delivers that product,
• 35. Advanced degree in Computer Science, Machine Learning or a related technical field
• 36. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 37. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• 38. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• 39. Demonstrated experience deploying and operating conversational AI in a regulated, high-volume or mission-critical customer facing environment - including end-to-end system design and API architecture, tools and protocols drive end-to-end automation