Meta
Product Manager, Identity
London
Posted about 5 hours ago
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Meta Product Managers
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly and lead AI-native product development at scale.
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, while improving team health and upleveling 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 clearly and concisely 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 partner
- 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 (evals) to interpret model outputs and adjust execution based on learnings—establishing evaluation as a first-class product practice across teams
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Minimum Qualifications
- 8+ years of relevant industry experience with at least 3 years in Product Management
- Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
- Experience leading cross-functional product 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
- Experience managing a product through the full product lifecycle
- Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product
- Extensive understanding in analyzing large-scale, complex data sets and making effective decisions based on data
- Demonstrated proficiency using AI-enabled tools to build product artifacts
- Experience developing and scaling AI-native strategies including evals and data strategies across teams
- Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy
- Experience leading and motivating teams and influencing across an organisation
- Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels
- Experience identifying and hiring the right talent to build an AI-capable cross-functional team
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Preferred Qualifications
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- 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)
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