Manager Billing Automation

6 – 7 years of software engineering experience, including 3+ years leading software engineering teams.

Proven success building and developing high-performing engineering teams delivering enterprise software solutions.

Experience designing and delivering cloud-native applications and distributed systems, preferably on AWS.

Experience delivering AI-enabled products or intelligent automation solutions in production environments.

Strong understanding of software architecture, APIs, systems integration, event-driven architectures, and modern software engineering practices.

Working knowledge of modern AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), vector search, AI agents, prompt engineering, and orchestration frameworks.

Manager, Billing Automation,

to lead our AI-Powered Billing Automation engineering team.

This team is responsible for transforming our revenue cycle by building intelligent software solutions that automate laboratory billing, reimbursement, claims processing, and revenue cycle workflows.

By combining cloud-native technologies, artificial intelligence, and workflow automation, the team delivers solutions that reduce manual effort, improve billing accuracy, accelerate reimbursement, and enhance operational efficiency.

As the Manager, Billing Automation, you will provide technical leadership, people leadership, and strategic direction for a team developing scalable applications, APIs, AI-enabled services, and enterprise integrations.

You will partner closely with Revenue Cycle Management, Finance, Product Management, Laboratory Operations, Data & AI, Enterprise Applications, Architecture, and CloudOps to identify opportunities where AI can streamline complex business processes and improve decision-making across the billing lifecycle.