Manager Billing Automation

veracyte; San Diego (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Veracyte is seeking an experienced Manager of Billing Automation to lead an AI-powered engineering team responsible for transforming our revenue cycle through intelligent software solutions. The role focuses on building scalable cloud-native applications and AI-enabled services to automate laboratory billing and reimbursement processes.

You will partner with Finance, Product Management, and Data & AI teams to identify opportunities where AI can streamline billing workflows, ensure compliance,

Responsibilities

• Lead, mentor, and grow a high-performing software engineering team responsible for Veracyte's AI-Powered Billing Automation platform.
• Define and execute the engineering roadmap in partnership with Product Management, Revenue Cycle Management, Finance, Laboratory Operations, Data & AI, and Architecture.
• Deliver secure, scalable, and highly available cloud-native applications, APIs, and AI-enabled services supporting laboratory billing, reimbursement, claims processing, and revenue cycle workflows.
• Define the technical strategy for applying AI to billing automation, balancing innovation with reliability, security, regulatory compliance, and measurable business outcomes.
• Partner with AI engineers, data scientists, and business stakeholders to identify and prioritize opportunities for intelligent automation across the revenue cycle.
• Lead the development of AI-powered capabilities such as intelligent document processing, claims validation, exception handling, payer rule interpretation, coding assistance, workflow orchestration, and operational copilots.
• Design and implement integrations with enterprise platforms including ERP, CRM, LIS, EMR/EHR systems, clearinghouses, payer systems, and AI platforms.
• Establish engineering best practices for integrating generative AI and machine learning into production systems, including evaluation, monitoring, governance, observability, and human-in-the-loop workflows.
• Drive engineering excellence through modern software development practices including CI/CD, IaC, automated testing, code quality, security, and platform observability.
• Ensure applications meet performance, reliability, scalability, and compliance requirements while protecting sensitive healthcare and financial data.
• Collaborate with CloudOps and Platform Engineering to optimize AWS infrastructure for availability, performance, security, and cost efficiency.
• Establish engineering and operational KPIs that measure software quality, AI solution effectiveness, delivery predictability, and business impact.
• Foster a culture of ownership, experimentation, innovation, continuous learning, and responsible AI adoption.
• Conduct regular one-on-ones, performance reviews, career development planning, and mentoring to support individual growth and team success.
• Lead recruiting, interviewing, onboarding, and talent development to build a diverse, high-performing engineering organization.

Job description

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.

Our Values:

• We Seek A Better Way : We pursue bold ideas, embrace complexity, and keep pushing forward.
• We Make It Happen : We act with urgency, deliver with excellence, and always find a way.
• We Are Stronger Together : We engage with empathy, align around what's best for Veracyte, and celebrate as one team.
• We Care Deeply : We show up with integrity, kindness, and respect for one another.

The Position:

Veracyte is seeking an experienced 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.

This is a hybrid role in San Diego, CA

Key Responsibilities:

• Lead, mentor, and grow a high-performing software engineering team responsible for Veracyte's AI-Powered Billing Automation platform.
• Define and execute the engineering roadmap in partnership with Product Management, Revenue Cycle Management, Finance, Laboratory Operations, Data & AI, and Architecture.
• Deliver secure, scalable, and highly available cloud-native applications, APIs, and AI-enabled services supporting laboratory billing, reimbursement, claims processing, and revenue cycle workflows.
• Define the technical strategy for applying AI to billing automation, balancing innovation with reliability, security, regulatory compliance, and measurable business outcomes.
• Partner with AI engineers, data scientists, and business stakeholders to identify and prioritize opportunities for intelligent automation across the revenue cycle.
• Lead the development of AI-powered capabilities such as intelligent document processing, claims validation, exception handling, payer rule interpretation, coding assistance, workflow orchestration, and operational copilots.
• Design and implement integrations with enterprise platforms including ERP, CRM, laboratory information systems (LIS), electronic medical record (EMR/EHR) systems, clearinghouses, payer systems, and AI platforms.
• Establish engineering best practices for integrating generative AI and machine learning into production systems, including evaluation, monitoring, governance, observability, and human-in-the-loop workflows.
• Drive engineering excellence through modern software development practices including CI/CD, Infrastructure as Code (IaC), automated testing, code quality, security, and platform observability.
• Ensure applications meet performance, reliability, scalability, and compliance requirements while protecting sensitive healthcare and financial data.
• Collaborate with CloudOps and Platform Engineering to optimize AWS infrastructure for availability, performance, security, and cost efficiency.
• Establish engineering and operational KPIs that measure software quality, AI solution effectiveness, delivery predictability, and business impact.
• Foster a culture of ownership, experimentation, innovation, continuous learning, and responsible AI adoption.
• Conduct regular one-on-ones, performance reviews, career development planning, and mentoring to support individual growth and team success.
• Lead recruiting, interviewing, onboarding, and talent development to build a diverse, high-performing engineering organization.

Who You Are:

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a