Healthcare Product Engineer — Customer Support

Junction

Estes Park (CO)

Remote

USD 90,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

Equity (extended exercise)
Company and team offsites
Monthly learning budget
Wellness budget
Remote-friendly / remote-first
Coworking budget
36 days paid time off
Premium healthcare coverage
4% monthly pension/401k contribution
Yearly blood test
Enhanced parental, foster, and adoptio

Job summary

Junction powers modern healthcare companies with reliable APIs and fast issue resolution. This role sits at the center of how the company operates, working closely with the engineering and product teams to investigate escalations, read code, and debug in collaboration with customers.

You’ll be part of a small, highly capable team focused on delivering exceptional support, using AI tools to speed up debugging, and maintaining documentation and tooling that speeds up workflows.

Qualifications

  • Engineering background with experience in support or customer-facing technical roles.
  • Ability to read code and debug in a fast-paced startup environment.
  • Strong communication and problem-solving to unblock customers.

Responsibilities

  • Investigate and diagnose technical issues by tracing through logs and services.
  • Think like an engineer and act as a support specialist, reading code and debugging.
  • Deliver a great customer experience with clear updates to users and engineers.
  • Improve documentation, tooling and processes to reduce repeat questions and speed up workflows.

Skills

Python
Code reading
Debugging
Customer support
Technical instincts
AI tools
Logs analysis
Startup experience

Tools

Log analysis tools

Job description

Junction powers modern healthcare companies with reliable APIs and fast issue resolution. This role sits at the center of how the company operates, working closely with the engineering and product teams to investigate escalations, read code, and debug in collaboration with customers.

You’ll be part of a small, highly capable team focused on delivering exceptional support, using AI tools to speed up debugging, and maintaining documentation and tooling that speeds up workflows.

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