Staff Software Engineer, R37

R1 is thrilled to introduce R37 committed to transforming healthcare financial performance so providers can focus on delivering exceptional care. R37 is pioneering an AI-driven approach to revolutionize revenue cycle management. Today we serve 95 of the top 100 hospital systems in the US and R37 will serve as the AI platform layer delivering results for our customers. Joining R37 offers the dynamic energy of a startup, backed by solid revenue, clear business value, and strong investment support.

As our Staff Engineer, R37 you will play a pivotal role in shaping and delivering technical solutions that drive real business outcomes. Every day, you will own large, ambiguous business problems end-to-end, working backwards from the desired outcome to architect, build, and operate systems that are robust, scalable, and maintainable. To thrive in this role, you must be a good communicator with a proactive sense of engagement and provide technical leadership.

Here’s what you will experience working as Staff Engineer, R37:

• Own outcomes: Start with complex business problems, collaborate closely with product and operations stakeholders to decompose the problem, define requirements, design technology solutions, and build high quality software that delivers results.

• System design: Work backwards from extremely complex business problems to design the correct abstractions and components in the simplest, most logical and maintainable way possible.

• Maintain and operate systems at scale: Ensure reliability, performance, and operational excellence of systems in production.

• Technical leadership: Set the technical direction for projects and teams. And set and maintain the bar for code quality, testing, and operational excellence.

• Cross-team collaboration and mentorship: Mentor engineers and collaborate with stakeholders across the organization.

• Influence roadmap and strategy: Shape R37’s roadmap and long-term technology strategy.

To be successful in this role, the candidate will have:

• Proven experience building and operating large-scale, complicated data platforms or systems

• Proficiency in modern programming languages like Python, Java, Go, Rust, TypeScript, Kotlin, or C#

• Experience with cloud infrastructure (AWS, GCP, or Azure)

• Track record of technical leadership

• Excitement to work in AI-native environment, openness to trying new technologies, and experience building with AI-native tools (e.g., Cursor, Windsurf, Lovable)

It's a plus if you bring:

• Experience in healthcare or Revenue Cycle Management (RCM) or interest in making the US healthcare system more efficient

• Experience in fast-paced startup or technology environments

• Experience with large-scale data platforms like Snowflake, Databricks, Palantir, EMR, Athena

Interview Logistics Notice
As part of our hiring process, selected candidates will participate in an in-person interview. Candidates located near one of our talent hubs—San Francisco, New York, Austin, or Chicago—will be scheduled to meet with team members in those locations. For candidates residing outside these areas, we will arrange travel to a hub for the interview. Travel accommodations will be provided as needed. We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants.

For this US-based position, the base pay range is $140,000.00-$300,000.00 per year. Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.

This job is eligible to participate in our annual bonus plan.