Product Policy Manager, GenAI at Meta | Austin, TX, US | Rezi

Product Policy Manager, GenAI at Meta

Product Policy Manager, GenAI

Meta · Austin, TX, US

1 months ago

Product Policy Manager, GenAI

Meta · Austin, TX, US

a month ago
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About the Role

Meta is seeking a product-focused strategic thinker to join its Product Policy 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 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. The ideal candidate will have 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 managing shifting priorities and tight timelines in a dynamic product environment.

Responsibilities

  • Provide policy guidance that protects and promotes free expression in Gen AI 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 Gen AI 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

Requirements

  • 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, product design, product management, or related fields
  • Experience working independently and cross-functionally to develop policies and apply analytical thinking to solving ambiguous, complex problems
  • Experience with consensus building in a highly matrixed environment
  • Experience advising on AI technologies and other online products and platforms in a product policy role
  • Experience dealing with escalations and/or time-sensitive issues
  • Understanding of AI policy and tech issues, including key stakeholders, research initiatives, and relevant industry trends
  • Experience in adversarial simulation and red-teaming methodologies
  • Experience articulating policies and their reasons to various audiences effectively
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience developing policies for governing multi-modal (image, video, audio) generative AI products
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Master’s degree or PhD in political science, policy, law, computer science or related field
  • Proficiency in drafting formal policy documentation for a wide-ranging audience
  • Experience communicating policy decisions and recommendations to product managers, engineers, researchers, and executives through written documentation and presentations

Skills

  • AI technologies
  • Tech policy
  • AI policy and regulatory landscape
  • Industry trends
  • Managing shifting priorities
  • Tight timelines
  • Dynamic product environment
  • Policy guidance
  • Free expression
  • Risk minimization
  • Regulatory compliance
  • Policy development
  • Risk assessment
  • Scalable frameworks
  • Mitigation operationalization
  • Cross-functional collaboration
  • Escalation management
  • Internal communications
  • Analytical thinking
  • Consensus building
  • Adversarial simulation
  • Red-teaming methodologies
  • Policy articulation
  • AI skill development
  • Prompt/context engineering
  • Agent orchestration
  • Emerging AI technologies
  • Responsible AI practices
  • Ethical AI practices
  • Bias mitigation
  • Quality and accuracy reviews
  • Multi-modal generative AI product policy development
  • AI tool integration
  • Workflow optimization
  • Drafting formal policy documentation
  • Policy decision communication
  • Policy recommendation communication

Experience Level

  • 8+ years of experience

Education Level

  • Bachelor's degree in political science, policy, law, comms, computer science or related field
  • Master’s degree or PhD in political science, policy, law, computer science or related field

Salary/Compensations

  • $122,000/year to $180,000/year

Benefits

  • bonus
  • equity
  • benefits