AI Policy Lead
Scale AI · New York, NY · San Francisco, CA · Washington, DC
Infrastructureonsitelead$165k–$206k
At a glance
Highlights
- Lead Scale's external AI policy positions and product policies globally.
- Represent Scale with US and foreign governments and standards bodies.
- Drive responses to rulemakings and advance policy-relevant research agenda.
What they offer
- Equity compensation
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend
Ideal candidate
Seasoned AI policy expert who bridges government and tech, thrives in fast-paced settings, and cares about turning business objectives into real-world regulatory impact.
Requirements
- At least 8-10 years of tech policy and/or government experience
- Demonstrated expertise in AI Policy via government, tech sector, or research
- History of working with third parties such as trade associations and think tanks
- Experience engaging government officials and third-party stakeholders
- Excellent written, verbal, and public speaking skills
- History of working in fast-paced environment managing multiple workstreams
- Ability to work cross-functionally with a high degree of autonomy
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
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