U.S. Public Policy and AI Innovation Intern

Responsibilities

Policy Operations and Advocacy

• Maintain internal policy knowledge bases and issue trackers.
• Monitor and evaluate U.S. federal, state, and local legislation for its impact on company products.
• Provide timely updates on policy shifts.
• Draft talking points, policy messaging, and presentation materials for external events, blog posts, and consultation responses.
• Collaborate with Legal, Trust & Safety, Public Sector Sales, and other internal teams on regulatory inquiries and high-stakes policy issues.
• Analyze new or proposed Internet- and company-impacting regulations or legislation to guide advocacy and operational responses.

AI Innovation and Tooling

• Design AI-driven prototypes and develop and refine specialized prompts and internal AI interfaces to streamline policy team workflows and processes.
• Leverage internal AI tools to synthesize public policy data into actionable insights.
• Support the development of best practices for the responsible use of AI within policy and legal functions.

Requirements

• Currently pursuing a bachelor's or master's degree focused on technology, engineering, public policy, law, or a related field.
• Available for a full-time, 12-week internship in the Washington, D.C. office during the fall, working in-office 3–5 days per week.
• Demonstrated interest in Internet and technology policy, cybersecurity, privacy, and artificial intelligence.
• Experience building and deploying AI tools and applications using modern developer workflows, including AI-augmented coding or natural language programming.
• Strong research, writing, and analytical skills, with the ability to distill legislative and regulatory texts into clear, business-friendly advice.
• Self-starter mentality and comfort navigating ambiguity and initiating projects.
• Strong interpersonal and communication skills, including the ability to articulate complex technology and policy concepts to cross-functional and public audiences.
• Proficiency in written and spoken English.

Nice-to-Haves

• Experience teaching AI tooling or adoption to non-technical users.
• Experience in government, a public policy organization, trade association, or technology company, including internships, clinical work, or research.
• Familiarity with cloud computing infrastructure and how the Internet works.

Compensation

• Washington, D.C.-based hires: estimated hourly rate of $24 per hour.
• Compensation may be adjusted depending on work location.