Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Meta Product Managers collaborate with cross-functional teams of engineers, designers, data scientists, and researchers to build innovative products. This role focuses on leading AI-native product development at scale, driving complex product areas by defining success metrics, prioritizing problems, and identifying optimal strategies within the broader organizational context. You will adapt strategies based on learnings and changing conditions, build consensus on prioritization, and determine when to start or stop investments. Critically evaluate when AI is the best solution, articulating tradeoffs, risks, and second-order effects clearly.

Translate AI capabilities into compelling product visions that deliver 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 while resolving challenges and improving team effectiveness.

Identify opportunities and dependencies across adjacent product areas, reimagine workflows using AI tools to increase team velocity and capability, and foster a culture of rapid experimentation and learning. Scale AI best practices, workflows, and artifacts across product teams to compound organizational capability over time.

Support the growth of other Product Managers and team members through 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 to reduce toil while maintaining quality and accountability.

Communicate product strategy and progress clearly 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 data to inform product decisions and influence the wider product organization.

Design sophisticated experiments leveraging AI to accelerate analysis, interpret results, 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.

Experience
- 8+ years of relevant industry experience with at least 3 years in Product Management
- Leading cross-functional product teams across full product lines, including crafting product mission and strategy, defining requirements, coordinating resources, and driving teams to achieve milestones
- Managing products through the full lifecycle
- Driving significant improvements in product performance and team effectiveness
- Extensive experience analyzing large-scale, complex data sets and making data-driven decisions
- Proficiency using AI-enabled tools to build product artifacts
- Developing and scaling AI-native strategies including evaluations and data strategies across teams
- Integrating diverse user requirements and context into coherent product strategies
- Leading, motivating teams, and influencing across organizations
- Communicating complex and technical messages clearly across all audience levels
- Identifying and hiring talent to build AI-capable cross-functional teams
- Ongoing AI skill development including prompt/context engineering and agent orchestration
- Integrating AI tools to optimize workflows and drive measurable impact such as efficiency gains and quality improvements
- Adhering to and implementing responsible, ethical AI practices including risk assessment, bias mitigation, and quality reviews

About you
Strategic thinker with strong leadership skills and a passion for AI-driven innovation. You thrive in fast-paced environments, enjoy collaborating across diverse teams, and are committed to responsible AI use. You have excellent communication skills and are motivated to mentor others and foster a culture of experimentation and continuous learning.

Qualifications
Bachelor's degree or equivalent in a relevant field; STEM subjects such as Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, or Applied Sciences are ideal but not essential.