Join an elite team to build the patient-facing AI oncologist product. You will own the full-stack lifecycle of landing pages, onboarding flows, and retention experiments, shipping to production in your first week. Your data-driven experiments will directly impact patient outcomes by helping them access expert-level treatment recommendations and 24/7 nursing support.
Product Engineer at Radical Health
Radical Health is building an AI Cancer Doctor to solve a critical healthcare gap where 83% of cancer patients never see a top specialist. Backed by Khosla Ventures and the Mayo Clinic, this $100M seed-stage startup features an elite team of ex-founders and DeepMind alumni. As a Product Engineer, you will own the patient experience, shipping high-impact experiments to production within your first week. If you are an AI-native full-stack engineer with a founder's mindset, this is your chance to build a product where success is measured in patient lives saved.
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Location
San Francisco, United States
Compensation
$160k-$200k + Equity
Company
Radical Health
Role overview
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 will do
- Own the entire patient-facing product surface area, including landing pages, onboarding flows, and retention loops that drive user growth.
- Instrument every feature to measure impact against the active user north star, ruthlessly unshipping anything that does not move the numbers.
- Execute rapid-fire live experiments multiple times per week, utilizing AI-native workflows to optimize how cancer patients find and access expert care.
Who this is a fit for
- Proven full-stack speed with expertise in React/TypeScript and Python, capable of taking features from ideation to production to measurement independently.
- Prior experience as a founder or one of the first five hires at an early-stage startup, demonstrating a high-agency mentality and ship rate.
- Data-driven and AI-native professional who uses AI tools as their default workflow and makes objective product decisions based on rigorous instrumentation.
Why this role is remarkable
- Work on a generational AI mission alongside an elite team where 75% of members are ex-founders from DeepMind, WebMD, and Teladoc.
- Leverage an unprecedented data advantage with access to 1B+ multimodal events from top US cancer centers and backing from Khosla Ventures and the Mayo Clinic.
- Join an extreme high-agency environment where you push to production immediately and see your experiments move the needle on life-saving patient metrics.
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