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Neon Health

AI-powered automation for healthcare administration

Staff Software Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-timeUnited States$184k - $260k /yr

About the Job

Requirements

  • Proficiency with Node.js, TypeScript, and Python.
  • Good understanding of system design concepts, including distributed systems and reliability/performance tradeoffs.
  • Experience in API design, implementation, and documentation.
  • Experience using AI coding tools such as Cursor, GitHub Copilot, or Claude.
  • Excellent documentation and testing habits.
  • Proficiency with version control using Git.
  • Four to seven years of experience, or equivalent, as a software engineer.
  • Experience working on projects touching many parts of a large codebase.
  • Ability to define priorities, suggest solutions, and excel at implementation with the team.
  • Ability to pick up concepts quickly and apply patterns from past problems.
  • Ability to work independently and organize and prioritize time.
  • Experience across multiple areas of software engineering; examples include self-deployed Kubernetes clusters and microservices.
  • Experience leading engineering projects from start to finish.

Responsibilities

  • Lead project teams, provide direction, and keep stakeholders informed.
  • Determine key milestones and provide updates and check-ins to relevant teams and partners.
  • Work with the team to define priorities and suggest solutions.
  • Contribute to implementation while maintaining speed and quality, and help embed that quality across the team.

Desired Qualifications

  • Experience working with continuous integration and continuous delivery systems and good DevOps skills.
  • Experience working with distributed architectures.

About the Company

Neon Health

AI-powered automation for healthcare administration

Neon Health uses an AI-powered automation platform to handle high-volume healthcare admin tasks, especially phone-based work for specialty pharmaceutical manufacturers and healthcare providers. It combines voice automation and rule-based AI to build customized workflows that can interact with callers to verify information and complete tasks such as benefit verification and prior authorizations. It differentiates itself by focusing on patient-access chokepoints, offering a modular stack for rapid customization, and showing a fast sales cycle with profitability under the leadership team’s track record. Its goal is to reduce administrative burden in healthcare and speed up patients’ access to medications so clinicians can focus more on patient care.

Company size
11-50
Company stage
Early VC
Total funding
$6M
Headquarters
San Francisco, CA
Founded
2023

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