Responsibilities
- Provide policy guidance to product and engineering partners that protects and promotes free expression, while minimizing business risks and ensuring compliance with evolving regulatory and policy environments
- Create clear risk assessments and build scalable frameworks to operationalize a consistent set of mitigations across a broad range of products
- Work with product managers, software engineers, designers, lawyers, and others to help product teams address policy, legal, engineering, user interface, business, and marketing considerations
- Provide policy guidance to internal stakeholders on issues related to Meta’s products and features
- 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 work experience in policy, enforcement, law, government, or operations, with an emphasis on technology
- Experience working with product or technical teams
- Experience in Internet/social media, with a focus on policy issues
- Demonstrated analytical thinking and problem-solving skills
- Experience with consensus-building, persuasive communication and managing multi-stakeholder projects
Preferred Qualifications
- Master’s degree or PhD in political science, policy, computer science or Law Degree
- Experience in adversarial simulation and red-teaming methodologies
- Proficiency in crafting formal policy documentation for a wide-ranging audience
- Experience managing incident response or escalations
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience advising on AI technologies and other online products and platforms in a product policy role
- Experience articulating policies and their reasoning to various audiences effectively
- Experience working at a Tech Company
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience communicating policy recommendations to product managers, engineers, researchers, and executives
$190,000/year to $257,000/year + bonus + equity + benefits
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