Job Description

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, 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.

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 organization
* 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