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Leap Health, Inc. is seeking an engineering leader to build and scale the core engineering organization, establishing the technical foundation and product velocity to transform Leap’s data into durable product advantage.
You will supervise AI-native systems, data infrastructure, and workflow orchestration, reporting to the President and co-founder, while guiding a founding team through rapid growth and ambitious roadmaps.
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.
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.
Building the Team
The Roadmap You’ll Own
Hands‑On Technical Leadership
Required
Preferred
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.