What are the responsibilities and job description for the Product Policy Manager, GenAI position at Meta?
Meta is seeking a product-focused strategist to join its Product Policy team as a Product Policy manager. In this role, you will provide direct policy counsel to Meta Superintelligence Labs' product and engineering teams as they launch new multi-modal Gen AI 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 effectively prioritize and manage competing workstreams in a dynamic environment and have a passion for developing responsible AI products that connect people.
Product Policy Manager, GenAI Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
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 WhatsApp 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.
Product Policy Manager, GenAI 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
Minimum Qualifications:
- Bachelor's degree in political science, policy, law, communications, computer science or related field
- 8 years of experience working in product policy, public policy, law, government, national security, 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 driving alignment across multiple cross-functional teams with competing priorities to reach shared decisions on policy or product direction
Preferred Qualifications:
- Proficiency in crafting formal policy documentation for a wide-ranging audience
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Possess communication skills with demonstrated experience communicating with product managers, engineers, researchers, and executives
- 10 years of experience and a Master’s degree or PhD in political science, policy, law, computer science or related field
- Experience advising on AI technologies and other online products and platforms in a product policy role
- Experience managing policy escalations by assessing risk, coordinating with cross-functional stakeholders, and driving timely resolution
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience articulating policies and their reasoning to various audiences effectively
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience in adversarial simulation and red-teaming methodologies
- Experience in developing policies for governing agentic and multi-modal (image, video, audio) generative AI products
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 WhatsApp 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.
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.
Benefits:
Health Insurance, Free Lunch or Snacks, Maternity & Paternity LeaveSalary : $122,000 - $180,000