About the role
Inbound Solutions Lead Hippocratic AI | San Francisco Bay Area (onsite preferred) | Product Management
ABOUT US Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.
WHY JOIN OUR TEAM Reinvent healthcare with AI that puts safety first: We're building the world's first healthcare-only, safety-focused LLM, a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future: Hippocratic AI was co-founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world's leading healthcare and AI investors: We've raised significant funding from top investors including Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA's NVentures, Premji Invest, SV Angel, and six health systems. Health systems and health plans are moving fast to deploy inbound AI at the front door: call center automation, IVR, decision trees, and provider directory workflows. This is not a role that follows an existing playbook, it's
the role that writes it. You will define the methodology, standards, and reusable frameworks for how Hippocratic AI configures and deploys inbound solutions, the model that every deployment strategist and Forward Deployment Engineer after you will build on.
Responsibilities Own the Inbound Paradigm: Design the core methodology for inbound AI configuration, decision tree architecture, IVR logic, and provider directory setup, the standard the rest of the org will follow as we scale Set the Deployment Model: Work horizontally across the deployment organization. Build the end-to-end deployment framework, from initial configuration through go-live and iteration, that deployment strategists and FDEs will use on every future engagement Customer Implementation: Partner directly with health system and health plan customers to understand how to improve the configuration and launching of inbound AI agents