Legal Counsel — AI Product & Data Governance

LinkedIn

Mountain View (CA)

Hybrid

USD 130,000 - 210,000

Full time

14 days+

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Job summary

LinkedIn is seeking a Legal Counsel to support its Product and Engineering AI teams, ensuring compliant, members-first AI development. The role is hybrid, with work from home and a LinkedIn office on select days, located in the San Francisco Bay Area or New York City.

You will advise on consumer protection, privacy, and AI deployment, build a best-in-class governance program, and craft disclosures and terms. Strong collaboration across teams is essential.

Qualifications

  • Experience advising on AI, privacy, and consumer law.
  • Ability to translate legal guidance into practical product decisions.
  • Strong collaboration with engineering and product teams.

Responsibilities

  • Provide legal guidance to LinkedIn Product and Engineering AI teams.
  • Advise on AI development and deployment compliance matters.
  • Help build and sustain an AI governance program.
  • Counsel on consumer product and feature development.
  • Document counseling and drive legal processes.
  • Stay current on policy issues related to social media platforms.
  • Advise on data management and use issues.
  • Draft disclosures and terms for user data usage.
  • Collaborate with industry peers and participate in relevant trainings.
  • Support LinkedIn's mission within a fast-paced legal team.
  • Attend ongoing industry working groups and training.

Skills

AI Governance
Product Counseling
Cross-Functional Collaboration

Education

J.D. and Bar Admission

Job description

LinkedIn is seeking a Legal Counsel to support its Product and Engineering AI teams, ensuring compliant, members-first AI development. The role is hybrid, with work from home and a LinkedIn office on select days, located in the San Francisco Bay Area or New York City.

You will advise on consumer protection, privacy, and AI deployment, build a best-in-class governance program, and craft disclosures and terms. Strong collaboration across teams is essential.

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