R1 RCM is looking to transform healthcare financial performance so providers can focus on delivering exceptional care by pioneering an AI-driven approach to revolutionize revenue cycle management.
Requirements
- 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)
- Experience in healthcare or Revenue Cycle Management (RCM) or interest in making the US healthcare system more efficient
- Experience with large-scale data platforms like Snowflake, Databricks, Palantir, EMR, Athena
Responsibilities
- 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.
Other
- Good communicator with a proactive sense of engagement
- Bachelor's, Master's, or Ph.D. degree (not specified which field)
- Travel may be required for in-person interviews
- US-based position, with base pay range determined by role, level, location, job-related skills, experience, and relevant education or training
- Must be eligible to work in the US
