Meta

Product Policy Manager, GenAI

Meta Menlo Park, California, United States · $153K–$224K/yr

Software Development · 10,001+ employees

3 d ago
Principal (10+ yrs) Full-time United States
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About the role

The Product Policy Manager will provide strategic policy counsel for multi-modal GenAI products while collaborating with cross-functional teams to ensure regulatory compliance. They are responsible for developing forward-thinking governance frameworks and managing internal communications regarding policy escalations.

What they look for

GenAI Product Policy Risk Assessment Regulatory Compliance Stakeholder Management AI Policy Legislative Affairs Policy Documentation Adversarial Simulation Red-teaming Prompt Engineering Agent Orchestration Bias Mitigation Cross-functional Collaboration Strategic Thinking Multi-modal AI

Requirements

Candidates must have at least 8-10 years of experience in policy, law, or product management with a strong background in AI technology and regulatory landscapes. A bachelor's degree is required, while a master's degree or PhD is preferred for this senior-level role.

Benefits

Bonus Equity Benefits

Full description

Meta is seeking a product-focused strategic thinker 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.

This role requires expertise in AI technologies and tech policy, with an understanding of the AI policy and regulatory landscape, including relevant industry trends. They will also be comfortable navigating shifting priorities and timelines in a dynamic work environment.

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, comms, computer science or related field
  • 8+ years of experience working in policy, policy enforcement, law, government, national security, law enforcement, product design, product management or related field
  • Experience working independently and cross-functionally to develop policies and apply analytical thinking to solving ambiguous, complex problems
  • Experience working at the intersection of AI policy and legislative/government affairs, and drafting policy documentation, and drafting policy documentation

Preferred Qualifications

  • Experience in adversarial simulation and red-teaming methodologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience in developing policies for governing multi-modal (image, video, audio) generative AI products
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • 10+ years of experience in public policy related to technology or AI and Master’s degree or PhD in political science, policy, law, computer science or related field
  • Experience articulating policies and their rationales to various audiences effectively, including product owners, researchers, and engineers

$153,000/year to $224,000/year + bonus + equity + benefits