AI Policy Lead: Global Government & Standards Advocate

Scale; San Francisco (CA); On-site; USD 165,000 - 206,000; Full time

Benefits offered by this job

Health, dental and vision coverage

L earning and development stipend

Commuter stipend

Generous PTO

Job summary

Scale is seeking an AI Policy Lead to shape policy positions and engage with US and international governments. You will serve as Scale’s in-house AI policy expert, lead the development of external policy positions and product policies, and represent the company in government engagements.

You’ll collaborate with the Policy Lab and cross-functional teams, monitor regulatory changes, and brief executives on AI policy impacts.

Qualifications

• 8–10 years of tech policy and/or government experience.
• Demonstrated expertise in AI Policy through government agency work, tech sector AI work, or AI research publications.
• Experience engaging with trade associations and think tanks.
• Experience working with government officials and external stakeholders on behalf of an organization.

Responsibilities

• Serve as Scale’s in-house AI policy subject-matter expert.
• Lead Scale’s external policy positions and product policy.
• Represent Scale in engagements with US and foreign governments.
• Advocate on Scale’s positions in trade associations and standards bodies.
• Assist in forming Scale’s government relations strategy and priorities.
• Lead responses to government rulemakings and requests for comment.
• Collaborate with the Policy Lab to advance AI policy research.

Skills

AI policy

Government engagement

Policy development

Public speaking

Job description

Scale is seeking an AI Policy Lead to shape policy positions and engage with US and international governments. You will serve as Scale’s in-house AI policy expert, lead the development of external policy positions and product policies, and represent the company in government engagements.

You’ll collaborate with the Policy Lab and cross-functional teams, monitor regulatory changes, and brief executives on AI policy impacts.