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Product Manager, Central Products

Meta

Bellevue, WA

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JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Automation, Best Practices, Business Strategy, Competitive Analysis/Strategy, Computer Science, Continuous Improvement, Cross-Functional, Customer Relations, Customer Satisfaction, Customer/Client Research, Data Science, Ecosystems, Emerging Technology, Establish Priorities, Experiment Design, Internet Technology, Leadership, Legal, Management of Information Systems/Technology (MIS), Market Analysis, Market Research, Metrics, Performance Analysis, Performance Metrics, Product Design, Product Development, Product Lifecycle, Product Management, Product Positioning, Product Programs, Product Strategy, Productivity Management, Quantitative Analysis, Requirements Management, Risk Analysis, Safety/Work Safety, Scientific Research, Strategic Analysis, System Architecture, Team Lead/Manager, Technical Strategy, Test Design, Trade-Off Analysis, Usability Engineering, User Interface/Experience (UI/UX)
LOCATION
Bellevue, WA
POSTED
25 days ago
**Summary:** Meta Product Managers work with cross-functional teams of engineers, designers, data scientists, and researchers to build products. We are looking for extremely effective Product Managers to help innovate and execute product initiatives across the company, value moving quickly, and lead AI transformation at scale. This job description represents different full-time roles across Meta. **Required Skills:** Product Manager, Central Products Responsibilities: 1. Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies, and roadmaps in the context of broader organizational strategies and goals 2. Generate buy-in and drive consensus across organizations. Bring clarity and structure to ambiguous opportunities. Consistently demonstrate initiative and execute with limited oversight 3. Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis 4. Translate AI capabilities into compelling, differentiated product visions that define market categories 5. Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement 6. Drive product development with teams of engineers and designers, while maintaining team health 7. Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones 8. Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale 9. Foster a culture of rapid experimentation and learning that becomes a competitive advantage 10. Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially 11. Plan, initiate, and manage information technology projects for web-based products, applications, and platforms 12. Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale 13. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm 14. Use AI-enabled tools to build products-setting the standard for PM technical capability 15. Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning at the frontier 16. Demonstrate expert understanding of system/architecture trade-offs and how they impact user experience and business outcomes 17. lead strategic technical decisions with engineering leadership 18. Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity 19. Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for the audience (XFN partners, execs, engineering, etc.) 20. Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry 21. Define and analyze metrics that inform the success of products. Identify and track key performance metrics. Drive decision-making through user insights, quantitative analysis, and AB testing 22. Design sophisticated experiments and interpret results (leveraging AI) to drive strategic product decisions 23. Define and run evaluations (evals) to interpret model outputs at scale-establishing evaluation as a strategic capability for AI-powered experiences **Minimum Qualifications:** Minimum Qualifications: 24. Demonstrated proficiency using AI-enabled tools to build product artifacts at scale 25. 10+ years of experience working collaboratively with engineering, design and user research teams 26. 10+ years product management and/or Product Design 27. Experience developing and championing AI-native strategies across organizations 28. Critical thinking and analytical leadership experience 29. Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution 30. Experience presenting to executive audiences 31. BA/BS in Computer Science or related field **Preferred Qualifications:** Preferred Qualifications: 32. Experience building 0-1 AI-native products, platform/ecosystem products, or marketplaces 33. Experience in a consumer-focused technology company 34. Track record of scaling AI best practices across organizations 35. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 36. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 37. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies **Public Compensation:** $205,000/year to $277,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative 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 accommodations-ext@meta.com.

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Meta

INDUSTRY
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