Product Manager, Central Products

Meta; Juneau (AK); On-site; USD 205,000 - 277,000; Full time

Job 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. As a Product Manager, you will identify opportunities, translate AI capabilities into product visions, drive

Qualifications

• Demonstrated proficiency using AI-enabled tools to build product artifacts at scale.
• 10+ years of experience working collaboratively with engineering, design and user research teams.
• 10+ years product management and/or Product Design.
• Experience developing and championing AI-native strategies across organizations.
• Critical thinking and analytical leadership experience.
• Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution.
• Experience presenting to executive audiences.
• BA/BS in Computer Science or related field.

Responsibilities

• Identify significant near and long-term opportunities in a large product area and drive roadmaps.
• Generate buy-in and drive consensus across organizations.
• Evaluate when AI is the optimal solution at portfolio level with rigorous tradeoff analysis.
• Translate AI capabilities into compelling product visions that define market categories.
• Champion AI-native strategies with data strategies for organization-wide improvement.
• Drive product development with engineers and designers, maintaining team health.
• Coordinate resources across cross-functional teams and develop roadmaps.
• Reimagine workflows using AI to transform team velocity at scale.
• Foster rapid experimentation and learning as a competitive advantage.
• Scale AI best practices across the organization.
• Plan and manage information technology projects for web-based products, applications, and platforms.
• Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale.
• Maximize efficiency in a fluid and creative environment.
• Use AI-enabled tools to build products and set PM technical standards.
• Interpret research and state-of-the-art learnings to design strategy and apply rigorous reasoning.
• Demonstrate understanding of system/architecture trade-offs and impact on UX and business outcomes.
• Lead strategic technical decisions with engineering leadership.
• Integrate data, usability studies, research, and market analysis into product strategies.
• Explain complex concepts to audiences (XFN partners, execs, engineers).
• Understand Meta's strategic position and deliver aligned products.
• Define and analyze metrics for product success and drive decisions with insights and AB testing.
• Design experiments and interpret results (leveraging AI) to drive decisions.
• Define and run evaluations to interpret model outputs at scale.

Skills

AI-enabled tools

Executive presentations

Product lifecycle

AI-native strategies

Analytical leadership

Cross-functional collaboration

10+ years experience

11+ years product management

Education

BA/BS in Computer Science or related field

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 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:

1. Demonstrated proficiency using AI-enabled tools to build product artifacts at scale

2. 10+ years of experience working collaboratively with engineering, design and user research teams

3. 10+ years product management and/or Product Design

4. Experience developing and championing AI-native strategies across organizations

5. Critical thinking and analytical leadership experience

6. Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution

7. Experience presenting to executive audiences

8. BA/BS in Computer Science or related field

Preferred Qualifications:

Preferred Qualifications:

1. Experience building 0-1 AI-native products, platform/ecosystem products, or marketplaces

2. Experience in a consumer-focused technology company

3. Track record of scaling AI best practices across organizations

4. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

5. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

6. 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 affirm clause And then the statement: Meta is proud to be an Equal Employment Opportunity and ... [full text omitted for brevity]

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