You will build the patient-facing experience for an AI Cancer Doctor providing expert-level care recommendations. As a growth-focused engineer, you’ll ship experiments weekly to drive patient activation and retention. Joining an elite team of ex-founders, you'll leverage a foundation model trained on 1B+ clinical events to improve outcomes for millions of patients.
Product Engineer at Radical Health
Join an elite team of ex-founders building an AI Cancer Doctor backed by Khosla Ventures and the Mayo Clinic. This isn't just another SaaS role; you'll be leveraging a proprietary foundation model trained on 1B+ clinical events to provide expert oncology support to the 83% of patients who currently lack specialist access. As a Product Engineer, you will own the patient-facing product, shipping high-velocity experiments that directly influence clinical outcomes.
About this role
Role overview
About the company
Radical Health (radicalhealth.ai) is building an AI Cancer Doctor that delivers better outcomes than leading US oncologists at lower cost. Backed by Khosla Ventures and the Mayo Clinic. Valued at XXXM seed round. We trained our cancer foundation model on data from 12M+ patients at the top US cancer centers, the first time it's ever been accessed. Net Promotor Score of 85, unheard of in healthcare, improving lives of thousands of cancer patients. Team is 75% ex-founders, rest from Deepmind/WebMD.
What you'll do
What you will do
- Own the full patient lifecycle by building and instrumenting landing pages, onboarding flows, and activation experiments using React, TypeScript, and Python.
- Move at extreme velocity, pushing to production in your first week and running multiple live experiments per week to move the North Star metric of active users.
- Act as a growth-minded engineer, identifying friction in the patient journey and building features that directly impact clinical outcomes and patient retention.
Who you are
Who this is a fit for
- Proven track record as an ex-founder or a sub-5th hire at a high-growth startup, demonstrating extreme agency and a bias for shipping high-quality code.
- Full-stack proficiency in React/TypeScript and Python, with the ability to own features from initial concept through to production and data measurement.
- AI-native workflow, using LLMs and AI tooling as a default to accelerate output, combined with a deep commitment to improving outcomes for cancer patients.
Why this role
Why this role is remarkable
- Work at the intersection of generative AI and oncology with a $100M Seed valuation and backing from world-class investors like Khosla Ventures.
- Massive data advantage: the team has exclusive access to over 1 billion multimodal clinical events from top-tier US cancer centers to train their foundation model.
- Join an elite, high-density talent environment in downtown SF where 75% of the team are ex-founders, formerly of DeepMind, WebMD, and Teladoc.
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