Staff Software Engineer - Biller Workflows

Job Description

Job DescriptionStaff Software Engineer - Biller Workflows

Company: Commure
Location: Hybrid in Mountain View, San Francisco, Los Angeles or New York City
Compensation: $210,000 - $275,000 + competitive equity
Employment Type: Full-time
Visa Sponsorship: Visa transfers (OPT, H-1B transfer)

About Commure

Commure's mission is to simplify healthcare. Its growing suite of AI solutions spans ambient clinical documentation, provider copilots, autonomous coding, revenue cycle management and more, so providers and administrators can focus on care. Commure powers over 500,000 clinicians in a $4.5 trillion industry that spends more than $500 billion a year on administration.

Commure is a later-stage (Series D+) company that has raised $800M+.

The Role

Commure is hiring a Staff Software Engineer (8+ years) to set the technical direction for its biller-workflow platform, the frontend and backend architecture multiple teams build on. You will lead a generational rebuild of the highest-traffic surfaces in its practice management product, shaping how hundreds of thousands of billers work with claims, appointments and payments every day.

What You Will Do

• Set technical direction across teams: frontend/backend architecture, component conventions, API contracts and observability.
• Lead the hardest cross-cutting problems: data-dense tables at scale, bulk operations over tens of thousands of records, and a unified claim activity timeline.
• Embed AI where it removes real friction, such as claim comparison, submission-error reasoning and rule suggestions.
• Drive engineering excellence through architecture reviews, code review and mentorship.
• Own production reliability and performance, including render and query performance and the claim-submission pipeline.

What You Bring

• 8+ years building large-scale, full-stack applications, including setting technical direction across multiple teams
• Deep TypeScript/React, Python and PostgreSQL expertise, including fixing React rendering bottlenecks in data-dense UIs
• Org-wide frontend leadership, such as driving design system adoption
• Experience leading multi-month, multi-team platform rebuilds or migrations
• Strong API and data-layer design for filtering, grouping and pagination over large datasets

Tech Stack

React 19, TypeScript, Python, FastAPI, PostgreSQL, LLMs/AI, EDI X12