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.
For more information, visit www.HippocraticAI.com.
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.
About the Role
Hippocratic AI is building safety‑first generative intelligence for healthcare. We are hiring an experienced Clinical Product Strategist (RN) to partner with our model and product teams to develop, validate, and continuously improve our medical large language models (LLMs). This role sits at the intersection of clinical expertise, patient communication, and product innovation – ensuring our AI agents are accurate, empathetic, and aligned with clinical best practices.
What You’ll Do
Evaluate the Medical Model. Design and run clinical evaluation protocols to assess the accuracy, safety, and appropriateness against guidelines and standards of care.
Provide Clinical Insights. Translate frontline nursing expertise into product decisions—shaping dialog flows, safety rails, escalation criteria, and patient‑friendly explanations.
Review & Triage Errors. Analyze error reports, identify root causes, and partner with engineers/researchers on remediation plans.
Author “Gold Standards.” Create test cases, rubrics, and reference answers for high‑stakes scenarios; define acceptance criteria for model releases.
Cross‑Functional Partner. Collaborate with ML researchers, speech/voice specialists, product managers, and QA to prioritize improvements and measure impact.
What You Bring:
Must-Have:
Active, unrestricted Nursing License (RN) in your practicing state.
Clinical experience in acute, ambulatory, telehealth, or community settings; strong patient communication skills.
Excellent written & verbal communication—ability to explain complex medical concepts clearly to lay audiences and to technical teams.
Prior experience with prompting language models, interacting or working with LLMs via text or voice, conversational AI, or clinical NLP.
Commitment to safety and ethics; familiarity with HIPAA/PHI handling and privacy best practices.
Intellectual curiosity and a commitment to advance health delivery and increase access to all.
Nice‑to‑Have:
Background in quality/safety or clinical education.
Experience with clinical guidelines and patient‑education best practices.
Domain expertise in clinical and care management workflows.
***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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Hippocratic AI is building a safety-focused large language model (LLM) for the healthcare industry. We believe that generative AI has the potential to massively increase healthcare access the world over but has to be built and tested responsibly. ...
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