# Senior Product Counsel at Doximity

- Company: Doximity
- What the company does: Doximity is an online networking service for medical professionals. Launched in 2010, the platform offers its members curated medical news, telehealth tools, and case collaboration. Backed by Emergence Capital.
- Company website: https://doximity.com
- Type: Startups
- Level: Senior
- Location: San Francisco, CA
- Work setup: On-site
- Pay: $257K to $350K base salary per year (USD)
- Posted: 2026-09-18
- Apply by: 2026-11-02
- Apply: https://job-boards.greenhouse.io/doximity/jobs/8187353
- Page: https://www.1752.vc/careers/jobs/doximity-senior-product-counsel/

## About the role

We are hiring a Senior Product Counsel, R&D / AI to serve as the primary legal partner to Doximity’s AI team. You will sit with the engineers, data scientists, and product managers building our clinical AI products — ambient documentation, clinical search and answers, and AI-powered clinician workflows — and help them ship quickly and responsibly. This is a hands-on, high-judgment role for a lawyer who wants to be in the room where AI products are designed, not downstream of them.

## What they're looking for

- J.D. and active membership in the California bar (or eligibility to register as in-house counsel in California)
- California Bar membership preferred, alternatively, an attorney licensed in any U.S. jurisdiction and eligible to obtain RHIC may be considered
- Approximately 10+ years of legal experience, including meaningful in-house time supporting a technology, digital health, or healthcare organization
- Demonstrated experience as product counsel — embedded with engineering and product teams, advising on features in flight rather than reviewing finished work
- Healthcare data fluency: HIPAA, business associate relationships, de-identification standards, and the practical realities of working with PHI. Digital health, health IT, or provider-facing experience strongly preferred
- Working knowledge of the legal issues specific to AI and machine learning — training data rights, model licensing, output liability, evaluation and monitoring, and emerging AI regulation

Tags: Legal