Genai Product Policy Manager

Meta Meta · Big Tech · Austin, TX +1

Meta is looking for a Product Policy Manager to provide policy guidance for GenAI products, focusing on free expression, risk mitigation, and compliance with regulations. The role involves collaborating with cross-functional teams, developing policies for multi-modal GenAI, and acting as an escalation point for policy issues. Experience in AI policy, technology policy, and developing policies for generative AI products is required.

What you'd actually do

  1. 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
  2. Develop and implement forward-thinking policies to govern multi-modal GenAI products and features
  3. Create clear risk assessments and build scalable frameworks to operationalize a consistent set of mitigations across a broad range of products
  4. Work with software engineers, designers, lawyers, product managers, and others to help product teams address policy, legal, engineering, user interface, business, and marketing considerations
  5. Act as an escalation point of contact and manage internal communications for policy issues

Skills

Required

  • Experience developing policies for governing multi-modal (image, video, audio) generative AI products
  • Experience advising on AI technologies and other online products and platforms in a product policy role
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Nice to have

  • Experience with consensus building in a highly matrixed environment
  • Experience in adversarial simulation and red-teaming methodologies

What the JD emphasized

  • multi-modal GenAI products and features
  • AI policy and regulatory landscape
  • governing multi-modal generative AI products
  • responsible, ethical AI practices