Senior Product Counsel — AI, ML & Data Products

Abridge

San Francisco (CA)

Hybrid

USD 230,000 - 360,000

Full time

14 days+
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Benefits offered by this job

Generous Time Off
Comprehensive Health Plans
401(k) Matching
Parental Leave
Mental health support

Job summary

Abridge is seeking a Senior Product Counsel to partner with AI and product teams on cutting-edge AI, ML, and data product initiatives. You will advise on model development, data governance, IP, and regulatory compliance while shaping Abridge's approach to emerging AI law in healthcare.

Ideal candidates have 8+ years of legal experience including 4+ years in AI or emerging technology, with in-house experience and strong ability to communicate complex concepts to technical teams.

Qualifications

  • 8+ years of legal experience, including 4+ years counseling on AI, machine learning, or other emerging technology products.
  • Prior in-house experience is required.
  • Ability to translate complex regulatory and technical AI concepts into clear guidance for non-legal, technical audiences.
  • Comfort operating with ambiguity, tight timelines, and a high volume of novel legal questions.

Responsibilities

  • Serve as go-to counsel for teams building AI models and products, advising on legal issues spanning model development, outputs, and clinical use.
  • Identify and mitigate AI-specific legal risks including IP, data rights, liability, and training data provenance.
  • Develop flexible legal processes and contract language suited to frontier AI development.
  • Represent Abridge's positions on AI regulation with regulators, external counsel, and industry groups.

Job description

Abridge is seeking a Senior Product Counsel to partner with AI and product teams on cutting-edge AI, ML, and data product initiatives. You will advise on model development, data governance, IP, and regulatory compliance while shaping Abridge's approach to emerging AI law in healthcare.

Ideal candidates have 8+ years of legal experience including 4+ years in AI or emerging technology, with in-house experience and strong ability to communicate complex concepts to technical teams.

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