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Commure

Software Engineer, Claims & AI Billing

Mountain View, CA; San Francisco, CAUnited States
FullTime · Engineering
POSTED 12 NOVVERIFIED 7M AGO
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Role
0 days opentrue age
Closes in ~65d at the median (65d)
Posted 12 Nov · n=21
Payats field
$180k–230kposted
▲ +3% vs market median $200k
$160k$240k
Market p25–p75
$161k–$240k
Commure p25–p75
$160k–$170kn=7
H-1B median · Software engineering
$165k
SF Bay Area · n=2169 · 365d to 12 Nov
CompanyCommure →
71open roles
Opened · 30d
+6
Closed · 30d
−9
11d of snapshots · 30d window
Market
37,808open · Software engineering
Opened · 7d
+3,85810% of open
All software engineering
75,471open
All tracked boards · live 12 Nov · n=37,808
Visa
41H-1B LCAs · FY26
Median wage
$165k
LCAs FY26 · n=41 · to 2026-06-26
TypeScriptReactPythonPostgreSQLLLMs

At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs.

Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.”

Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here.

The future of healthcare is being built right now. Come deliver this transformation.

About the Role

Running a healthcare practice is hard. It's a highly regulated, low-margin business. Practices deliver care upfront, then have to navigate a complex insurance system to get paid. Much of that work is manual, and it isn't always clear which claims or tasks are worth tackling first. When a practice can't operate efficiently, patients are impacted through reduced access to care or unexpected out-of-pocket costs.

Our Claims team builds software that helps clinics and hospitals get paid for the care they deliver. We build automations that can be configured to fit each practice's needs, ensuring their entire business pipeline functions smoothly.

We also build tools that help billers and administrators figure out where their time will have the biggest impact. We help them go after the highest ROI work first, work claims in bulk, and spot trends early that need their attention. We're also building AI agents as coworkers that can take on work between fixed automations and fully manual workflows and make customer onboarding and billing setup more accurate and automated. The end goal is to help clinics and hospitals work more efficiently and collect more of the revenue they've earned.

As a Software Engineer II, you'll work across the stack, from data-dense workflows in the UI to the backend pipelines, integrations, and rule engines that power them. Our scope is broad: you might build a CDC pipeline, design an API, or create a new automation workflow on any given day.

What You’ll Do

Build fast, intuitive claims workflows in Air that help billers find, understand, correct, and prioritize work, whether they're working one claim or thousands.

Design and build full-stack features with React, TypeScript, Python, and PostgreSQL, from user experience and APIs to data models and production operations.

Build and scale the claims generation and submission pipeline, transforming encounter data into valid electronic claims across professional, institutional, and dental formats, as well as paper claims when needed.

Integrate with clearinghouses and handle the varied responses, verification requirements, and errors that come with getting claims to payers.

Improve coverage and payer routing, with guardrails that protect against using the wrong person's coverage information.

Build configurable automations and AI-assisted workflows that reduce repetitive work. Give billers and administrators the visibility and control to manage agents and correct mistakes.

Use LLMs and agents to streamline customer onboarding and billing setup, helping each customer get configured accurately with as much automation as practical and appropriate human review.

Source · CommureFirst seen 12 NovOriginal ↗