Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.
Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.
Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.
Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.
World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.
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We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.
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.
***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. If anything
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