Jobs
Benefits & Perks
•Equity
•401(k)
•Equity
•401k
Required Skills
Policy Development
AI Policy
Risk Assessment
Analytical Thinking
Cross-functional Collaboration
Consensus Building
Meta is seeking a product-focused strategist to join its Product Policy & Strategy team as a Product Policy Manager. In this role, you will provide direct policy counsel to product and engineering teams as they launch new multi-modal GenAI products and features. You'll achieve this by collaborating with a range of cross-functional stakeholders, including policy, product, legal, communications, design, and marketing teams.
Successful candidates will have expertise in AI technologies and tech policy, with an understanding of the AI policy and regulatory landscape, including industry trends. They will also thrive in a fast-paced environment and share our vision of building the future of human connection through transformative technology.
Product Policy Manager, Gen
AI Responsibilities:
- Provide policy guidance that protects and promotes free expression in GenAI products/features, while minimizing business risks and ensuring compliance with evolving regulatory and policy environments
- Develop and implement forward-thinking policies to govern multi-modal GenAI products and features
- Create clear risk assessments and build scalable frameworks to operationalize a consistent set of mitigations across a broad range of products
- Work with software engineers, designers, lawyers, product managers, and others to help product teams address policy, legal, engineering, user interface, business, and marketing considerations
- Act as an escalation point of contact and manage internal communications for policy issues
- Build and manage a team of individual contributors
Minimum Qualifications:
- Bachelor's degree in political science, policy, law, communications, computer science or related field
- 8+ years of experience working in public policy, policy enforcement, law, government, national security, law enforcement, product design, product management or related field
- Understanding of AI policy and technology policy, including key stakeholders, research initiatives, and relevant industry trends
- Experience working autonomously and cross-functionally to develop policies and apply analytical thinking to solve ambiguous, complex problems
- Experience with consensus building in a highly matrixed environment
Preferred Qualifications:
- 10+ years of experience and a Master's degree or PhD in political science, policy, law, computer science or related field
- Experience developing policies for governing multi-modal (image, video, audio) generative AI products
- Possess communication skills with demonstrated experience communicating with product managers, engineers, researchers, and executives
- Proficiency in crafting formal policy documentation for a wide-ranging audience
- Experience advising on AI technologies and other online products and platforms in a product policy role
- Experience dealing with escalations
- Experience articulating policies and their reasoning to various audiences effectively
- Experience in adversarial simulation and red-teaming methodologies
- Experience in managing and supporting teams
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
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.
$122,000/year to $180,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Technical Program Manager
915 reports
$326,766
total / year
Base
$188,428
Stock
$105,343
Bonus
$32,995
$220,456
$506,368
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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