Product Manager, AI Agents

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.

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 recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.

Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.

Location Requirement

We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified.

As a Product Manager for AI Agents at Hippocratic AI, you will shape and optimize the behavior of intelligent healthcare agents built atop cutting-edge language models. You'll work closely with engineering, design, and clinical stakeholders to define agentic workflows, success metrics, and areas for continuous improvement.

• Design, spec, and prioritize AI agent functionalities tailored to healthcare workflows.

• Collaborate with engineers on prompt engineering, tool calling, and real-time LLM behavior.

• Monitor deployed agents for quality, safety, and performance issues.

• Define success criteria and evaluation strategies for agentic features.

• Drive iterative improvements based on user feedback and internal benchmarks.

• 4+ years in product management with at least 2+ years in LLM-focused or agentic AI applications.

• Deep understanding of LLM engineering concepts including prompt engineering, RAG, tool usage, and real-time decisioning.

• Proven ability to define product requirements and success metrics in ambiguous environments.

• Experience launching ML/AI-powered products in production.
  

Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.