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Product Manager, Agent Enablement

Meta
London, GBR
Full-time
Senior · 8+ years experience
Onsite
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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.

Minimum Qualifications

  • 8+ years of relevant industry experience with at least 3 years in Product Management
  • 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
  • Experience leading cross-functional team(s) across a full product line: Crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals
  • Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels
  • Experience leading and motivating teams and influencing across an organization
  • Demonstrated proficiency using AI-enabled tools to build product artifacts
  • Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy
  • Experience identifying and hiring the right talent to build an AI-capable cross-functional team
  • Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data
  • Experience with comprehensive AI evals, monitoring and data strategies that enable continuous improvement of deployed AI systems
  • Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product
  • Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)

Preferred Qualifications

  • Advanced degree in Computer Science, Machine Learning or a related technical field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • 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

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