# Senior Product Counsel at Doximity > United States · Senior · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Adoximity%3A8187353 (read 2026-11-06). ## Facts (observed) - Company: [Doximity](https://alderhq.app/companies/doximity) - Location text: San Francisco, CA ; San Francisco, CA - Where it can be done from (inferred): United States (evidence: "Location: San Francisco, CA ; San Francisco, CA") - Posted: 2026-09-18 (48 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/doximity/jobs/8187353 ## Pay and sponsorship - Posted pay: $257k–$350k per year (from the description) - Market band for similar posted roles (SF Bay Area, n 502): p25 $136k, median $165k, p75 $198k - H-1B filings at this company for similar roles, FY26: 1 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) ## Description (the employer's text) ### About Doximity Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity’s mission is to help clinicians be more productive so they can provide better care for their patients. At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you’re excited about solving complex problems that improve healthcare, we’d love to hear from you. ### 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. As a Senior Product Counsel, R&D / AI, you will: - Act as embedded counsel to our AI and R&D teams, advising on product design, model development, and launch decisions from concept through release — and owning the most significant legal questions our AI organization faces. - Advise on health data throughout the AI lifecycle: HIPAA and HITECH, business associate arrangements, de-identification, permitted uses for model training and evaluation, and state health privacy and consent laws. - Counsel on AI-specific risk, including training data provenance and licensing, third-party model and API terms, output accuracy and reliability, clinical decision support and FDA software boundaries, intellectual property in AI outputs, and transparency and disclosure obligations. - Draft and negotiate the agreements R&D depends on — data licenses, model and infrastructure provider terms, research and clinical collaborations, BAAs and DPAs, and evaluation and pilot agreements. - Build the legal infrastructure that lets AI development scale: intake and review processes, product launch checklists, playbooks, self-service guidance, and training for engineering and product teams. - Partner closely with Privacy, Security, Regulatory, Clinical, Trust & Safety, and Marketing to align on governance for new AI capabilities. - Track the fast-moving AI and health data regulatory landscape and translate it into concrete, actionable product guidance. Location: This role is In-Person in San Francisco, CA. ### What We’re Looking For We’re excited to meet candidates who have many of the following qualifications: - 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. - Genuine hands-on facility with AI tools, and the technical curiosity to engage substantively with the people building models. - Comfort with ambiguity and a bias toward practical, risk-calibrated advice delivered at product speed. - Clear, concise written communication and the ability to make legal complexity actionable for a technical audience. ### Compensation The anticipated total compensation for this role is $257,000 - $350,000, depending on factors such as experience, skills, location, and internal equity. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Adoximity%3A8187353 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.