Technical Product Manager, Data Platform

The posting, as Leap wrote it

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

Data powers nearly every part of Leap: launching new clients, identifying patients, coordinating care, sourcing drugs, and measuring savings. As we grow, more teams depend on our data platform, and their needs often compete for the same engineering capacity.

You’ll own the product direction and delivery of Leap’s data platform and integrations. A central part of your role will be bringing structure to how work reaches Data Engineering: understanding requests across teams, clarifying the underlying needs, and making explicit decisions about what gets prioritized, when, and why. You’ll build a process that makes it easier for teams to get their needs addressed and for engineers to focus on the most important work.

Working closely with our data engineers, you’ll turn those priorities into well-scoped projects with clear milestones, dependencies, and acceptance criteria. Your remit will span our ingestion engine, data quality and traceability, and integrations that embed Leap into client and partner workflows. Engineering owns architecture and implementation; you’ll help define the capabilities we need and sequence investments alongside immediate business commitments.

This is a hands-on technical product role. You should be comfortable querying BigQuery, reading Airflow DAGs and dbt models, evaluating a Fivetran connector, and investigating a malformed eligibility file. You bring the technical judgment and product discipline to clarify scope, challenge assumptions, and keep delivery on track.

You’ll work closely with Data Engineering, Platform Engineering, Analytics, Implementation, and Client Success. This role sits within Leap’s Engineering organization.

KEY RESPONSIBILITIES

INTAKE & CROSS-TEAM PRIORITIZATION

• Own the intake process for Data Engineering, giving teams a clear way to submit requests and visibility into how decisions are made.
• Work with requesters to understand the problem, business impact, urgency, and downstream dependencies before committing engineering capacity.
• Reconcile competing needs across teams, distinguish firm deadlines from preferred

[…]
e, and building alignment around what gets done first.

• A track record of taking ambiguous needs through scoping, prioritization, and delivery, including managing dependencies and making difficult trade-offs.
• Strong SQL skills and enough fluency in Python, orchestration tools, and transformation frameworks to investigate issues and challenge technical assumptions.
• Experience with cloud data warehouses such as BigQuery or Snowflake, ingestion tools such as Fivetran, and workflows built with tools such as Airflow and dbt.
• Experience delivering external file-based or API integrations with incomplete documentation, inconsistent data, and changing requirements.
• The ability to reason about system architecture and explain how technical choices affect delivery, reliability, cost, and future capabilities.
• Clear writing: you produce specs engineers can build from and documentation other teams can use.
• Practical experience using AI tools to accelerate analysis, technical investigation, documentation, or delivery, with sound judgment about validating outputs and handling sensitive data.

PREFERRED

• Experience with healthcare eligibility, medical or pharmacy claims, clinical data, or drug pricing.
• Familiarity with healthcare data standards such as X12, NCPDP, or HL7/FHIR.
• Experience working with PHI in a HIPAA-regulated environment.
• A background in data, analytics, implementation, or software engineering.
• Experience building reusable integration capabilities or embedding products into partner workflows.
• Experience establishing product and delivery practices at an early-stage company.

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.