Role Overview
The Senior Privacy Counsel position at Generative AI for Clinical Conversations is a full-time hybrid role based out of the San Francisco office, requiring work from the office three days per week. This opportunity is well-suited for an experienced legal professional with a background in technology privacy who wants to champion security and compliance in the healthcare tech sector.
Key Responsibilities
Advise internal teams on privacy regulations associated with artificial intelligence, machine learning, clinical data, product creation, and sensitive information handling.
Help scale practical privacy programs across cross-functional groups to align with HIPAA, CCPA/CPRA, biometric privacy laws, and emerging state legislation.
Embed privacy standards directly into product development by collaborating closely with Product, Design, Engineering, Analytics, Security, and Marketing from early concept to final launch.
Support data sharing, ecosystem questions, vendor management, governance, and commercial contractual expectations alongside commercial counsel.
Monitor evolving regulations spanning privacy, cybersecurity, healthcare, and AI, assessing their impact and turning developments into actionable recommendations.
Update and maintain privacy and security notices alongside policies, while supporting commercial negotiations like Business Associate Agreements (BAAs).
Build scalable tools including playbooks, intake workflows, training, and templates to empower builder teams to move forward securely and efficiently.
Build strong internal stakeholder relationships to align competing viewpoints and achieve practical, compliant business outcomes.
Requirements
Bring seven or more years of legal experience working at a technology company or a technology-focused law firm.
Possess demonstrated experience in leading, evaluating, developing, and advising on programs ensuring product compliance with laws and regulations.
Demonstrate a practical, risk-based approach with the ability to balance business, legal, customer, and regulatory considerations.
Exhibit strong business judgment and the capacity to operate independently in an environment centered on autonomy, trust, and accountability.
Show excellent communication and relationship-building skills to translate complex legal mandates into clear guidance for diverse audiences.
Maintain strong organizational abilities to manage multiple high-priority tasks in a fast-paced setting.
Hold a Juris Doctor degree from an accredited law school and active membership in good standing with at least one U.S. state bar.
Nice to Have
Prior professional experience working within healthcare or health technology.
Familiarity with recent trends at the intersection of artificial intelligence and privacy regulations.
Skills and Tools
Privacy program scaling and cross-functional leadership
HIPAA, CCPA/CPRA, and state privacy framework compliance
Commercial contract negotiation and BAA management
Product development integration across engineering, design, and data science
Legal communication and translation of complex regulations into actionable guidance
Salary and Benefits
Annual salary range between $200,000 and $255,000 in USD
Comprehensive health plans covering medical, dental, and vision for employees and families
Generous monthly HSA contributions when selecting a High Deductible Health Plan
Flexible time off policies, 14 paid holidays, and accrued time off for hourly staff
Paid parental leave and family-forming support benefits
401(k) contribution matching program
Tax-free personal device allowance and pre-tax flexible spending accounts or commuter benefits
Monthly lifestyle wallet designated for fitness, coworking, and professional development
Dedicated mental health support resources, therapy access, and paid sabbatical leave after five years
Competitive compensation packages and equity grants for full-time personnel
About the Company
Generative AI for Clinical Conversations builds enterprise-grade technology that transforms patient-clinician interactions into structured clinical notes in real time with EMR integrations. Founded in 2018, the organization uses purpose-built, auditable AI paired with linked evidence to help healthcare providers verify outputs and set industry standards for responsible AI deployment. The growing team includes practicing medical doctors, AI scientists, PhDs, engineers, and technologists working across offices in San Francisco, New York, and Pittsburgh.
How to Apply
Please submit your application directly on the official company careers page to be considered for this role.
