Head of Engineering
Company websiteleaphealth.com (Leap, opens in new tab)
Base salary $250K to $350K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceRemote
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
About Leap
Leap is one of the fastest-growing benefits solutions and a category-defining pioneer in employer specialty pharmacy. We are reshaping how life-changing therapies are delivered and financed, ensuring patients get the treatment they need while employers finally get a fair deal.
Specialty drugs and infusions represent nearly 10% of all healthcare spend and are the fastest-growing cost category for employers. Leap tackles this challenge with a novel approach: eliminating hidden markups, expanding access to high-quality infusion providers, and bringing clarity and fairness to how therapies are priced and paid for.
We’re proud to partner with numerous Fortune 500 companies and leading TPAs. Each patient we serve creates immediate ROI: lower costs, improved access, and better care. Join us as we redefine what’s possible in specialty care.
About the Role
Leap is entering a phase where engineering becomes a core source of company leverage.
This is Leap’s first engineering leadership role. You will take a small, high-caliber founding team and build the engineering organization, technical foundation, and product velocity required to turn Leap’s data advantage into durable product advantage.
Leap sits at a rare intersection in healthcare: employer membership, claims data, drug-level economics, clinical workflows, provider networks, procurement pathways, and direct patient and prescriber touchpoints. Most healthcare companies see only fragments of this picture. Leap is connecting the full journey from patient identification to therapy access to measurable savings — creating products that traditional PBMs, specialty pharmacies, and data aggregators are not built to deliver.
The work is technically demanding and central to the business: production AI, data infrastructure, workflow orchestration, and applied healthcare systems on messy, lagging, real-world data. Correctness matters. A flawed drug mapping, attribution model, routing decision, or intervention signal can affect patients, providers, employers, and Leap’s credibility.
This is a rare chance to build an engineering org from the ground up in a market where the hardest problems are still unsolved — and where the data to solve them is finally coming together in one place. You will report directly to Leap’s President and co-founder.
Key Responsibilities
Building the Team
Own hiring end to end — set ambitious targets, build the pipeline, and close engineers who clear a high bar
Grow the team from its founding core into a high-performing organization
Define what great looks like: the bar, the interview loop, and the standard the team is held to
Build the structure and culture a fast-moving team needs as it scales
The Roadmap You'll Own
Own and sequence the technical roadmap, making the prioritization and build-vs-buy calls that hold up as Leap scales
Build the cross-benefit drug identity layer that resolves one specialty therapy across NDC and HCPCS/J-codes as biosimilars multiply
Ship causal savings attribution that proves impact rather than projecting it — ROI an employer can defend in an audit
Build the intervention engine and AI workflows — at-risk prediction, prior authorization, formulary and site-of-care optimization — that turn analysis into action
Hands-On Technical Leadership
Set the standard for how Leap builds: AI-native, fast, and correct by default
Make the foundational data and architecture decisions the rest of the roadmap depends on
Unblock the team, own the hard technical calls, and dive in when it matters
Qualifications
Required
You've built and scaled an engineering team from a handful of people into a high-performing org — you've owned hiring, set the bar, and closed exceptional engineers.
You're AI-native: you've shipped AI systems in production with LLMs and agents, and you lead teams that do the same.
You've operated at a high bar at organizations known for exceptional engineering — your track record speaks for itself.
You're a lean player-coach who leads first but keeps the technical depth to make sharp architecture calls and own the roadmap.
You've shipped production systems on messy, real-world data — not clean benchmarks — and you build for correctness when being wrong has consequences.
Preferred
Healthcare, HIPAA, claims, or clinical-data experience
Production ML or data-intensive systems: causal inference, prediction, or large-scale pipelines
Leap's stack: TypeScript, React, Node/Python, PostgreSQL, BigQuery, GCP, or LLM/agent systems
Early-stage experience as a founder, founding engineer, or first engineering leader
Compensation and Benefits
Competitive salary
Eligibility for equity
Comprehensive medical, dental, and vision coverage
Access to 401(k) retirement plan
Flexible remote work
At Leap, we’re building an outlier company with real impact — and that takes focus, energy, and commitment. If that excites you, we’d love to hear from you.
Leap is an equal opportunity employer and welcomes applicants from all backgrounds. We’re committed to building a team that reflects a diversity of perspectives, experiences, and identities.
Source: Leap on Ashby · View original posting (opens in new tab)
This listingHead of Engineering$250K to $350K
SVP, Health Plans$250K to $300K
Head of Data Science & Analytics$200K to $250K
Senior Software Engineer$200K to $250K
Technical Product Manager, Data Platform$190K to $230K
Medical Director, Clinical Partnerships$185K to $250K
Director, Pricing and Channel Strategy$170K to $210K
Chart as a table
| Role | Published base |
|---|---|
| Head of Engineering (this listing) | $250K - $350K |
| SVP, Health Plans | $250K - $300K |
| Head of Data Science & Analytics | $200K - $250K |
| Senior Software Engineer | $200K - $250K |
| Technical Product Manager, Data Platform | $190K - $230K |
| Medical Director, Clinical Partnerships | $185K - $250K |
| Director, Pricing and Channel Strategy | $170K - $210K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-06-17
Where this pay comes from
Location as the employer wrote it: US (Remote)
USD 250,000 – 350,000 · 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.
