Head of Privacy

About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most, their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role Abridge is seeking a Head of Privacy to lead our privacy team and scale our privacy and data governance program as the company grows. This is a highly visible role at the intersection of artificial intelligence, healthcare, data governance, data protection, and product innovation. You will serve as a trusted legal advisor to senior leadership and partner closely with Security, Product, Engineering, and other cross-functional teams. You will provide practical, risk-based guidance, lead critical privacy and data initiatives, and build systems that enable Abridge to innovate responsibly while meeting evolving regulatory and customer expectations. The ideal candidate brings deep privacy expertise, sound business judgment, and experience operating with autonomy and leading a team in a fast-paced, high-growth environment. What You’ll Do Lead Abridge’s privacy program, providing practical, product-focused counseling to the Security, Product and Engineering teams. Advise teams on privacy laws related to artificial intelligence, machine learning, clinical data, product development, and the responsible use of sensitive information. Build and scale practical, cross-functional privacy programs aligned with HIPAA and other applicable U.S. privacy frameworks, including CCPA/CPRA, biometric privacy laws, and emerging state privacy legislation. Support data sharing and ecosystem questions