Head Of Us Policy

Summary

Join the Future of Life Institute (FLI) as the Head of U.S. Policy! Based preferably in Washington D.C., but open to other U.S. locations, you will lead and grow FLI's U.S. Policy team. Develop and execute a policy strategy for navigating the AI development race, advocating for future-proofed AI policy at the federal and state levels. Build coalitions, create educational materials, and represent FLI in the media. This role requires an advanced degree, five or more years of relevant experience, and a strong understanding of AI's societal challenges. The ideal candidate will have experience managing teams and working with legislatures.

Requirements

• Advanced degree (Masters equivalent or higher) in policy, law, or a technical field related to emerging technologies
• Five or more years of relevant work experience, mid-career and senior candidates encouraged to apply
• A detailed understanding of the challenges that artificial general intelligence may pose to society
• Strong self-direction, proactivity, and work ethic
• Comfortable working remotely and independently a significant portion of the time

Responsibilities

• Lead and grow our U.S. Policy team
• Develop and execute a policy strategy on how the U.S. can best navigate the current race to build Artificial General Intelligence
• Promote the adoption of future-proofed AI policy at the federal and state level, including mitigation of convergence risk (AI + bio and AI + nuclear)
• Build coalitions with other nonprofits, businesses and academics working on issues relevant to our mission
• Develop informational materials, conduct educational briefings to explain complex AI policy issues to non-expert audiences and represent FLI in the media

Preferred Qualifications

• Experience managing high-performing teams
• Direct experience working for or advocating to legislatures and high-level civil servants at the state or federal level
• Advanced knowledge of the policy making process, including legislative procedures and opportunities for intervention
• Understanding of the technical capabilities and limitations of AI systems
• Willingness to attend our internal retreat from Saturday January 25 to Friday January 31