Product Manager, Central Product

Meta; Richmond (VA); On-site; USD 173,000 - 241,000; Full time

Job summary

Meta Product Managers lead AI-native product development with cross-functional teams across engineering, design, data science, and research. We seek leaders who move quickly, prioritize effectively, and translate AI capabilities into differentiated product value.

Responsibilities include defining strategy, roadmaps, and milestones, while mentoring others and coordinating across partners. This role emphasizes rapid experimentation and responsible AI practices at scale.

Qualifications

• Proficient with AI-enabled tools to build product artifacts.
• Experience turning diverse user requirements into a coherent product strategy.
• Experience hiring AI-capable cross-functional teams.
• 8+ years in industry with at least 3 years in Product Management.
• Experience managing full product lifecycle and AI-native strategies.

Skills

AI-enabled tools

Cross-functional leadership

Data-driven decisions

Hiring AI talent

Product lifecycle

AI-native strategies

Stakeholder management

System design awareness

Communication clarity

Leadership

Education

Bachelor's degree (STEM preferred)

Job description

Summary

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.

Required Skills

1. Be responsible for leading and driving a complex product area
2. defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context.
3. Adapt and adjust your strategies to reflect learnings and changes in context.
4. Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area.
5. Identify when to stop as well as when to start investment.
6. Critically evaluate when AI is (and isn't) the optimal solution, with sophisticated articulation of tradeoffs, risks, and second-order effects.
7. Translate AI capabilities into compelling product visions that create differentiated value.
8. Develop and champion AI-native strategies including comprehensive evals and data strategies that enable continuous improvement.
9. 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.
10. Actively identify opportunities and resolve dependencies by creating shared strategies across teams in adjacent product areas.
11. Reimagine workflows, responsibly using AI tools to dramatically increase team velocity and capability.
12. Foster a culture of rapid experimentation and learning across the organization.
13. Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the org's capability compounds over time.
14. Support the growth of other PMs and cross-functional team members by providing mentorship and coaching on AI-native practices.
15. Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals.
16. 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.
17. Communicate product strategy and progress with radical clarity to all stakeholders.
18. Use AI-enabled tools to build products—independently creating tangible artifacts to prototype, validate, or ship.
19. Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning.
20. Demonstrate deep understanding of system/architecture trade-offs and how they impact user experience and business outcomes
21. lead credible technical discussions with engineering partners.
22. Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization.
23. Design sophisticated experiments and interpret results (leveraging AI to accelerate analysis) and drive concrete product decisions.
24. Define and run evaluations to interpret model outputs and adjust execution based on learnings—establishing evaluation as a first-class product practice across teams.

Minimum Qualifications

1. Demonstrated proficiency using AI-enabled tools to build product artifacts
2. Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy
3. Experience identifying and hiring the right talent to build an AI-capable cross-functional team
4. 8+ years of relevant industry experience with at least 3 years in Product Management
5. Experience managing a product through the full product lifecycle
6. Experience developing and scaling AI-native strategies including evals and data strategies across teams
7. Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data
8. Experience leading and motivating teams and influencing across an organization
9. Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels
10. Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product
11. 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
12. Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)

Preferred Qualifications

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation

$173,000/year to $241,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affiliated Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].