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About the Role
We are hiring a founding design engineer to shape our patient platform and the Radical brand, working directly with our founders. You will turn foundation model recommendations into treatment change, build and implement the most loved consumer brand in healthcare, and build an experience patients love coming back to.
Responsibilities
- Translate predictions from our foundation models into second opinion reports that help patients understand what the results mean for them.
- Communicate treatment options, predicted response, and uncertainty through clear language and thoughtful visualizations.
- Build a distinctive Radical identity that combines clinical credibility with warmth and humanity.
- Translate brand identity into a consistent experience across landing pages, product, and patient touchpoints.
- Design, build, ship, and test rapidly to learn what earns patients’ trust and makes them love using Radical.
- Work directly with patients and the care team to understand where people feel confused, reassured, frustrated, or supported.
- Use insights to improve the product continuously.
- Shape the journey from connecting medical records and receiving a first opinion to eventually running their care end to end.
- Help patients feel that Radical understands their situation and gives them a clear next step.
Requirements
- You have designed and built consumer products that people love.
- Your work demonstrates strong visual taste, thoughtful product decisions, and the engineering ability to bring them to life.
- You care about building an enduring consumer brand and can translate that ambition into a distinctive product experience.
- You have excellent visual and interaction design skills, with a strong sense of typography, hierarchy, layout, and motion.
- You can make complex information understandable without hiding important nuance.
- You use AI tools fluently to prototype, code, and explore ideas.
- You are comfortable owning outcomes such as activation and retention, and using data alongside design judgment.
- You enjoy speaking directly with users and changing your mind when their experience challenges your assumptions.
- You can take an ambiguous problem, explore different approaches, and ship a polished experience yourself.
- Empathy, curiosity, and a desire to work closely with cancer patients are essential.
- You prefer to hand off designs for someone else to implement.
- You care more about how a product looks than whether people understand it and continue using it.
- You need a detailed brief, an established design system, or fully defined requirements before you can start.
- You prefer remote work.
- Send us your resume or LinkedIn profile and one or two examples of products or experiences you personally designed and built.
- In a few sentences, tell us what you owned, one detail you cared deeply about, and how your work changed the way people used or felt about the product.
Skills
- Visual taste
- Product decisions
- Engineering ability
- Visual design
- Interaction design
- Typography
- Hierarchy
- Layout
- Motion
- AI tools
- Prototyping
- Coding
- Data analysis
- User research
Location
- San Francisco, United States
Work Type
- Full time
- On-site
Experience Level
- Founding
Salary/Compensations
- Competitive base salary.
Benefits
- Meaningful early stage equity.
- Medical, dental, and vision coverage.
- Visa and relocation support, including O-1 and H-1B support where applicable.
- An Equinox membership and free meals in the office.
- Quarterly company offsites.
About the Company
- Radical has already served thousands of cancer patients, with an average patient rating of 9.4/10 and growing organic demand.
- We want to scale to millions and build the most loved consumer brand in healthcare.
- We have developed a foundation model trained on longitudinal patient data from Mayo Clinic to predict how patients may respond to different treatments, allowing us to personalize care.
- This moves beyond explaining medical information toward helping answer one of the most important questions in cancer care: Which treatment is most likely to help this particular person?
- One of the biggest challenges in AI is turning sophisticated predictions into information people understand, trust, and can act on.