Product Manager, Product

Position: Product Manager, Central Product
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 demonstrate AI-native product development practices.

Minimum Qualifications

* 5+ years of relevant industry experience with at least 2 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 working with a cross-functional product team on a significant product area:
Crafting product vision 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 multiple product life cycle phases

* Proven experience to drive a material change in the performance of a product and the effectiveness of the team that delivers that product

* Demonstrated experience to analyze large scale, complex data sets and making effective decisions based on data

* Experience using AI-enabled tools to build product, prototypes, or other tangible product artifacts

* Demonstrated ability to develop AI-native strategies including evals and data strategies

* 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 a product team and collaborating with partner teams

* Demonstrated experience in communication, bringing extreme clarity to complex and technical messages at the appropriate level for the audience

Preferred Qualifications

* 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

Responsibilities

* Responsible for leading a product area; defining success metrics, prioritizing product problems and identifying the best strategies for the product, aligned with the organizational goals.

* Adapt and adjust your strategy to reflect learnings and changes in the product.

* Critically evaluate when AI is (and isn't) the right solution for user problems, with clear articulation of tradeoffs and risks.

* Translate AI capabilities into compelling product visions grounded in real user value.

* Develop AI-native strategies including evals strategy and data strategy that enable iteration and measurable quality improvements.

* Leverage AI for identifying opportunities through deep market research, user feedback synthesis, and competitive analysis.

* Work with a cross-functional team to define a product, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, while maintaining team health.

* Reimagine workflows, responsibly using AI tools to increase personal and team velocity (e.g., faster synthesis, clearer decision docs, tighter iteration loops).

* Foster a culture of rapid experimentation and learning, especially around AI-powered product development.

* Scale AI best practices (including responsible AI use) and proficiency across product teams to multiply impact.

* Provide mentorship and coaching to other Product Managers and cross-functional team members on AI-native practices.

* Coordinate proactively across partner functions for product success.

* Structure shared roadmaps for best outcomes.

* Orchestrate complex execution across multiple work streams by combining AI automation with appropriate human oversight.

* Communicate product strategy and progress with clarity to all stakeholders.

* Use AI-enabled tools to build products-prototyping, validating, or shipping tangible artifacts independently.

* Interpret research and state-of-the-art learnings to design product strategy and apply logical reasoning.

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