Nanonets is transforming the way Revenue Cycle works. Our AI platform takes the manual, messy, time consuming work — that bogs down Healthcare — and turns it into seamless, automated processes.
What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 100s of providers.
In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.
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The Role
Nanonets is seeking a Senior Revenue Cycle Specialist to join our fast-growing Healthcare business — a team focused on transforming U.S. healthcare operations with AI-powered automation. In this role, you’ll bring deep domain expertise in medical billing, payments, coding, and denials to help shape and scale how Nanonets supports healthcare providers and billing organizations.
You’ll act as a subject matter expert (SME) and hands-on operator, ensuring that our automation solutions map seamlessly to real-world RCM workflows. This is a unique opportunity to join a fast-moving startup environment, collaborate with product and engineering, and directly influence how technology modernizes the revenue cycle.
Roles and Responsibilities
- Own and optimize end-to-end revenue cycle processes across billing, payments, medical coding, claims, and denials management.
- Serve as the internal RCM expert for customer-facing teams (Sales, Implementation, Product), ensuring solutions align with provider workflows.
- Review and analyze billing data to identify automation opportunities and process improvements.
- Partner with Sales and Implementation teams to guide customers on best practices and ensure operational success post-deployment.
- Document workflows, edge cases, and billing nuances to inform product roadmap and customer enablement materials.
- Stay up-to-date on payer regulations, coding updates, and healthcare billing trends to keep Nanonets’ offerings compliant and relevant.
- Collaborate cross-functionally in a fast-paced environment where processes are still being built and iterated on.
Requirements and Skills
- 6+ years of experience in healthcare revenue cycle management, preferably within a provider, billing services, or healthcare technology organization.
- Deep understanding of billing workflows, payment posting, medical coding, and denials management.
- Familiarity with electronic health record (EHR) or practice management systems used in healthcare billing.
- Strong analytical and process improvement skills — ability to identify workflow gaps and propose scalable solutions.
- Excellent communication and collaboration skills with both technical and non-technical stakeholders.
- Comfortable working independently in a fast-paced, startup-style environment with evolving processes.
Nice to Have
- Experience partnering with product or engineering teams on workflow automation or system integrations.
- Familiarity with AI-driven automation, document processing, or healthcare technology platforms.
- Certification in Medical Billing/Coding (e.g., CPC, CPB, or CMRS).
Hybrid role (twice a week in our Palo Alto or Seattle office), based in the Bay Area, CA or Seattle, WA. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $90,000 - $120,0000 per year.
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Skills Required
- 6+ years of experience in healthcare revenue cycle management
- Deep understanding of billing workflows, payment posting, medical coding, and denials management
- Familiarity with electronic health record (EHR) or practice management systems
- Strong analytical and process improvement skills
- Excellent communication and collaboration skills
What We Do
Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning. At Nanonets, we serve up the most accurate models. Always.
