Six Figure Work

Forward Deployed Engineer

Healthleap

Company websitehealthleap.ai (Healthleap, opens in new tab)

Base salary $200K  to $275K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

About Healthleap

Every day, millions of hospitalized patients who need intervention are missed because clinicians simply can't see everything. Healthleap is building the AI operating system that helps care teams identify these missed patients, enabling them to improve health outcomes and generate millions of dollars. Healthleap is changing what is possible: closing gaps that traditional workflows and clinician capacity could never.

Over the past year, we've grown contracted revenue more than 13x, expanded rapidly across leading health systems, and now help care teams identify patients across millions of inpatient encounters.

We've raised $38M, backed by Sequoia, First Round and Hummingbird. SF-based and in person. And we're delivering results that are changing lives.

Forward Deployed Engineer

About the role

Build software with hospital teams, then turn what works into product.

HealthLeap helps clinicians find patients who need attention first. We’re live at 40+ hospitals and plan to add another 100. Each hospital has its own systems, API quirks, and clinical workflows.

You’ll work directly with hospital IT and clinical teams to understand what they need. Much of the job is building and running integrations. Some problems call for more: a tool to help a hospital inspect its data, analytics for a clinical team, or a workflow built around how that hospital works. You’ll build those solutions and make the useful patterns reusable.

Our stack is Python and TypeScript.

What you’ll do

  • Own the engineering work behind hospital integrations, from technical discovery through reliable production data.

  • Build and debug connections to record systems, including authentication, APIs, data mapping, and monitoring.

  • Work with hospital teams to investigate problems and test solutions with the people who use them.

  • Build customer tools or analytics when the standard product does not yet meet a hospital’s needs.

  • Turn repeated requests into reusable connectors, validation tools, and product features.

What we’re looking for

  • 5+ years building and operating production software, with strong backend, API, data modeling, and SQL skills.

  • Experience taking a complex third-party integration live with the technical team on the other side.

  • Evidence that you’ve built software around a customer’s workflow and improved it after they used it.

  • Enjoyment of customer work. You can investigate an unclear problem, explain tradeoffs, and decide what to build without waiting for a complete spec.

What will make you stand out

  • You’ve founded a company or been an early engineer who owned the messy parts.

  • You’ve worked with EHRs, HL7, or FHIR. Strong engineering and integration judgment matters more than healthcare experience.

This role is NOT for you if

  • You’d rather maintain an interface than build the system.

  • You want the spec handed to you.

  • You want to stay heads-down. You’ll work with hospital teams regularly.

  • You want predictable 9-to-5 hours. We protect deep rest, but a hospital go-live can mean a 60+ hour week.

Interview process

No LeetCode or puzzles. Use the tools you’d use on the job, including AI.

  1. Intro call

  2. System design

  3. Take-home exercise

  4. Onsite with the team in San Francisco

We decide the same week as the onsite.

Compensation and benefits

  • $200,000–$275,000 base plus meaningful equity

  • 100% covered healthcare premiums

  • Unlimited PTO with a 20-day minimum

  • 4% 401(k) match

  • Laptop and home office budget

Location

San Francisco, in person. We work together in the office by default, with flexibility to work from home when needed. We judge output, not hours.

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

Source: Healthleap on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($200,000) is above 58% of the 1,505 Data & ML roles in California listed on this site; 72 others list the same floor. Their median floor is $189,600; the middle half runs from $160,000 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 5 other live Healthleap roles with the nearest advertised base floor
Chart as a table
This range next to 5 other live Healthleap roles with the nearest advertised base floor
RolePublished base
Forward Deployed Engineer (this listing)$200K - $275K
Product Manager$180K - $250K
Head of Technical Implementation$180K - $250K
Senior Data Engineer$175K - $275K
Full Stack Engineer$175K - $275K
Technical PM$160K - $250K

Same $100K to $400K scale as every card. All Healthleap roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-24
Where this pay comes from

Location as the employer wrote it: San Francisco Office

USD 200,000 – 275,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.