Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Meta Product Managers collaborate with cross-functional teams including 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 candidates who have shipped and operated live agentic systems in front of real users. You will own end-to-end system design, evaluation, and optimization while leading AI transformation with our largest partners.

You will be responsible for leading and driving a complex product area by defining success metrics, prioritizing problems, and identifying optimal strategies within the wider organizational and company context. Adapt and adjust strategies based on learnings and changing circumstances. Drive consensus on prioritization and realize the most significant opportunities in your product area, knowing when to start and stop investments.

Critically evaluate when AI is the optimal solution, articulating 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 evaluations and data strategies that enable continuous improvement.

Work closely with cross-functional teams to define product vision, develop roadmaps, and drive progress against goals and milestones while resolving challenges and improving team health and effectiveness. Identify opportunities and resolve dependencies by creating shared strategies across adjacent product areas.

Reimagine workflows by 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, workflows, and artifacts across product teams to compound organizational capability 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 and architecture trade-offs and their impact on 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, driving 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.

Experience
- 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 evaluations, telemetry, and user failure modes rather than stated requirements
- Experience leading cross-functional teams across a full product line: crafting product mission and strategy, defining requirements, coordinating resources from other groups, and driving teams to achieve key milestones
- Proven 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 diverse requirements from a broad set of users and contexts into a coherent product strategy
- Experience identifying and hiring talent to build AI-capable cross-functional teams
- Extensive understanding of analyzing large-scale, complex data sets and making effective data-driven decisions
- Experience with comprehensive AI evaluations, monitoring, and data strategies enabling continuous improvement of deployed AI systems
- Proven ability to drive step changes in product performance and team effectiveness
- Demonstrated experience deploying and operating conversational AI in regulated, high-volume, or mission-critical customer-facing environments, including end-to-end system design and API architecture

About you
- Deep technical expertise with a strong understanding of system and architecture trade-offs impacting user experience and business outcomes
- Ability to lead credible technical discussions with engineering partners
- Skilled at fostering a culture of rapid experimentation and learning
- Strong mentorship and coaching skills for PMs and cross-functional team members
- Ability to influence strategy and progress across partner functions and resolve divergent goals
- Commitment to responsible and ethical AI practices including risk assessment, bias mitigation, and quality reviews
- Ongoing AI skill development and staying current with emerging AI technologies
- Demonstrated ability to integrate AI tools to optimize and redesign workflows, driving measurable impact such as efficiency gains and quality improvements

Qualifications
- Bachelor's degree or relevant equivalent; STEM subjects preferred but not essential (e.g., Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
- Advanced degree in Computer Science, Machine Learning, or related technical field preferred
- Demonstrated experience with responsible AI practices and ethical considerations
- Strong analytical skills with the ability to design sophisticated experiments and interpret results
- Experience establishing evaluation as a first-class product practice across teams