Software Development Manager, Billing Automation
New
V
VeracyteHealthcare Diagnostics
We may also be open to remote for the ideal candidate.Full-TimeManager
Salary$147,000 — $160,000 USD
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Job Details
- Experience
- 6+ years of software engineering experience, including 3+ years managing software development teams.
- Required Skills
- AWSArtificial IntelligenceCI/CDRESTful APIsDistributed Systems
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 6+ years of software engineering experience, including 3+ years managing software development teams.
- Proven experience leading the design, delivery, and operation of enterprise software, including cloud-native applications, APIs, distributed systems, and systems integrations.
- Strong knowledge of modern engineering practices, including architecture and design, automated testing, CI/CD, Infrastructure as Code, security, observability, and production support.
- Experience managing the complete software development lifecycle while balancing feature delivery, software quality, technical debt, reliability, and long-term architectural needs.
- Demonstrated ability to improve engineering execution, delivery predictability, and operational performance using iterative development practices and meaningful metrics.
- Excellent communication, stakeholder-management, organizational, and problem-solving skills, with the ability to collaborate across technical and business teams.
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.
- 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.
- Drive engineering excellence through modern software development practices including CI/CD, Infrastructure as Code (IaC), automated testing, code quality, security, and platform observability.
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