Full Stack Engineer

About Healthleap

HealthLeap builds AI that helps clinicians prioritize patients, surfaces the right data, and gets patients the care they need earlier, so they can leave the hospital sooner.

We integrate with hospital electronic health record systems, screen 100% of patients daily, and risk-rank them in real time. Clinicians at Cedars-Sinai and Penn Medicine start every morning with HealthLeap — with Houston Methodist, Emory, and Intermountain Health deploying now.

Real results: 39% more diagnoses. 4 days earlier detection. $11M/year ROI for our first site at Cedars Sinai. 7× revenue growth in 7 months.

We started with malnutrition. We're expanding to every major condition to ensure no patient falls through the cracks. Sequoia and First Round are backing us to build the platform that screens every patient for everything and drives tangible outcomes.

We're ~15 people. >$7M raised. SF-based, hybrid-friendly. Early enough to shape the product. Late enough to know it works. Results that are changing lives.

About the Role

Build the product clinicians rely on every morning.

HealthLeap's dashboard is the first thing dietitians open at Cedars-Sinai and Penn Medicine. It shows them which patients need attention, surfaces the right clinical data, and helps them act fast. You'll build the interfaces that make this possible - and the backend services that power them.

Why you

You've built systems that real users depend on. You know what it feels like when something you shipped actually matters. You're energized by hard problems - messy data, complex permissions, systems that need to work every time. You've felt the chaos of a startup and you liked it.

What you'll do

Own features end-to-end - from UI to API to database

Build complex feature flag systems for multi-tenant hospital deployments

Wrangle messy clinical data - turning unstructured text into structured, usable information

Work on the explainability problem: surfacing why a patient scored high, not just the score

Help clinicians find in seconds what currently takes them hours buried in charts

Ship directly to production at hospitals like Cedars-Sinai, Penn Medicine, Houston Methodist

What we're looking for

4+ years building production web applications

Strong in React and TypeScript, comfortable building APIs

Experience with complex data transformations and messy real-world data

Comfortable with relational databases, auth systems, and feature flags at scale

You've shipped products, not just features

You move fast and iterate based on what you learn

Nice to have

Experience with LLMs or AI/ML pipelines

Background in healthcare or clinical software

Familiarity with Postgres, AWS, or containerized deployments

This role is NOT for you if

Startup unpredictability feels like chaos to you. We find it exciting.

You need detailed specs before you start. We figure it out as we go.

You've never owned something end-to-end. Here, you own outcomes, not tasks.

You wait to be told what to do next. We need people who see what's needed and do it.

You're looking for a 9-5 with predictable hours. We care about deep work and deep rest (we have a minimum leave policy), but when a hospital go-live is on the line, we show up - even if that means a 60+ hour week.

Interview process

Intro call - Get to know each other

Technical - 1-2 interviews on system design + coding

Onsite - Meet the team in SF

Decision - Same week as onsite

We respect your time. If there's a fit, you'll know fast.

Compensation & Benefits

Salary: $175,000 - $275,000 base

Equity: Meaningful ownership in an early-stage company

Healthcare: 100% of premiums covered

PTO: Unlimited, with a recommended minimum of 20 days

401(k): 4% match

Equipment: Laptop + budget for your home office

Location

San Francisco, hybrid (Mon/Wed/Fri in office)

If you're passionate about applying frontier AI to real-world impact, join us in building healthcare's future.

#J-18808-Ljbffr