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AI Policy Lead

Scale AI New York, NY; San Francisco, CA; Washington, DCEst. Est. USD 190,000–260,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Scale continues to grow its Government Relations & Policy Insights function, we are looking for an AI Policy Lead to support policy development and engagements with governments and third parties in the US and globally. The successful candidate will combine deep AI policy expertise, experience driving regulatory and policy outcomes, and the ability to connect business objectives to policy wins. You Will: Serve as Scale’s in-house AI policy subject-matter expert Lead the company’s development of external policy positions and product policies Represent Scale in engagements with the US and foreign governments Advocate on behalf of Scale’s positions in trade associations, standards development organizations, and other external fora Assist in the formation of Scale’s government relations strategy and priorities Lead Scale’s response to government rulemakings and requests for comment Collaborate with the Scale Policy Lab to advance a policy-relevant research agenda Contribute to Scale’s thought leadership on AI policy Advise and brief executives on policies impacting artificial intelligence policy Build relationships with relevant external stakeholders Monitor policy and regulatory changes for potential impact to Scale’s business Collaborate effectively with cross-functional stakeholders including Business Units, Communications, Marketing, and others. Ideally You’ll Have: At least 8-10 years of tech policy and/or government experience Demonstrated expertise in AI Policy, via responsibility for AI within a government agency, AI-related experience in the tech sector, publication of AI-related research, etc. A history of working with third parties such as trade associations and think tanks Experience engaging government officials and third-party stakeholders, ideally on behalf of a government or private-sector entity Excellent written, verbal, and public speaking skills A history of working in a fast-paced environment and successfully managing multiple works streams simultaneously Ability to work cross-functionally with a high degree of autonomy Nice to haves: Experience working in a tech company Experience with rulemakings, requests for comment, and other regulatory submissions within government and/or the private sector Recognized leadership in an AI-related research area Experience working with foreign governments and/or the diplomatic community Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $164,800 $206,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same r

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