We are hiring a 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 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. 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). • Approximately 5-9 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 $184,000 - $214,000, depending on factors such as experience, skills, location, and internal equity. Our total compensation package may include: • Base salary • Equity (where applicable) Specific compensation details will be discussed during the interview process. Benefits In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include: • Medical, dental, and vision insurance • 401(k) with company match • Flexible paid time off and company holidays • Paid parental leave • Professional development and learning opportunities • Wellness and mental health resources • Commuter support and onsite amenities at our San Francisco office