Product Manager (Leadership) - Central Security

Summary:

Meta's products serve billions of people and businesses around the world, and it's our responsibility to keep their data secure. Meta's Central Security organization protects those people, the products they use every day, and the infrastructure and data behind them — while making it easier for the company to build and ship quickly. With security as a top company priority, we're growing our PM team to support cyber and information security at Meta. This role will partner closely with Meta Superintelligence Labs (MSL) to build toward our vision of personal superintelligence for everyone, spanning research, product, and infrastructure. You'll play a critical role in securing these AI products, ensuring they meet Meta's high bar for security, safety, and responsible deployment from the ground up.

Required Skills:

Product Manager (Leadership) - Central Security Responsibilities:

1. Primary driver for identifying and shaping transformative, long-term opportunities across multiple large Product areas or portfolios, setting vision and strategy that influences Meta's broader organizational and industry direction

2. Generates buy-in and drives consensus across multiple organizations and senior leadership, bringing clarity and structure to highly ambiguous, company-level opportunities

3. consistently demonstrates initiative and executes with minimal oversight, often setting new standards

4. Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis

5. Translate AI capabilities into compelling, differentiated product visions that define market categories

6. Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement

7. Drive product development with teams of engineers and designers, while maintaining team health

8. 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

9. Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale

10. Promote rapid experimentation and learning practices that become a competitive advantage

11. Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially

12. Plan, initiate, and manage information technology projects for web-based products, applications, and platforms

13. Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale

14. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm

15. Use AI-enabled tools to build products—setting the standard for PM technical capability

16. Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning at the frontier

17. Demonstrate expert understanding of system/architecture trade-offs and how they impact user experience and business outcomes

18. lead strategic technical decisions with engineering leadership

19. Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity

20. 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.)

21. Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry

22. Define and analyze metrics that inform the success of products

23. Identify and track key performance metrics

24. Drive decision-making through user insights, quantitative analysis and AB testing

25. Design sophisticated experiments and interpret results (leveraging AI) and drive strategic product decisions

26. 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. 12+ years of experience in Product Management

2. 12+ years of experience working collaboratively with engineering, design and user research teams

3. 5+ years of experience hiring, managing, and developing both individual contributors and senior leaders

4. Critical thinking/analytical leadership experience

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

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

7. Experience presenting to senior executive audiences

8. BA/BS in Computer Science or related field, or equivalent practical experience

Preferred Qualifications:

Preferred Qualifications:

1. Track record of scaling AI best practices across organizations

2. Experience in a consumer focused technology company

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

4. A background in Security Engineering and/or Software Engineering

Public Compensation:

$249,000/year to $323,000/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 [email protected].