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Harbera seeks a founding product engineer to help build health software that handles credentialing and payer data with high accuracy. You will own features from the data model to the interface, making product decisions with limited direction in a regulated domain.
This role emphasizes hands-on AI-assisted development, rigorous data correctness, and the ability to deliver compliant solutions for healthcare providers and payer systems.
A founding product engineer at a small health software company typically builds core product features end to end, from data model to interface, often with little existing structure to lean on. A strong candidate brings solid full stack engineering, comfort making product decisions with limited direction, and care for regulated workflows like credentialing and payer data where accuracy matters.
How it fits the AI era
AI speeds up coding, testing and drafting, so the engineer spends more time on product judgment, data correctness and integration with payer systems. The human parts remain deciding what to build, handling messy healthcare data and earning trust with compliance sensitive users.
How it builds AI experience
Working here offers hands on practice applying AI tools to document heavy healthcare workflows such as credentialing and fee schedules, and to building checks that catch errors. A candidate can build this by shipping AI assisted features in a regulated domain and showing how outputs were verified.
Worth showing
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Harbera provides healthcare provider credentialing and fee schedule software to automate payer enrollment and compliance for medical organizations, per the company.