Software Development Manager

Role overview

This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.

Veracyte is hiring a full-time Software Development Manager to lead the engineering team behind its AI-powered Billing Automation platform. The team develops and operates cloud-native applications, enterprise integrations, workflow automation, and AI capabilities for laboratory billing, claims, reimbursement, and other revenue-cycle processes. The manager will guide people, technical direction, delivery, and operations, working with Product Management, Revenue Cycle Management, Finance, Laboratory Operations, Data & AI, Enterprise Applications, Architecture, and CloudOps.

Role at a glance: Lead engineering, delivery, and operations for Veracyte’s AI-powered Billing Automation platform; listed pay is $147,000–$160,000 per year.

Responsibilities mentioned in the listing

• Manage, mentor, hire, and develop the engineering team responsible for the Billing Automation platform.
• Set and deliver the engineering roadmap with product, revenue-cycle, finance, laboratory operations, data and AI, and architecture partners.
• Guide the design and operation of secure, scalable, highly available cloud applications, APIs, and AI services for billing, claims, reimbursement, and revenue-cycle workflows.
• Set the technical approach to AI-powered billing automation, balancing innovation with reliability, security, regulatory compliance, and measurable business results.
• Work with AI engineers, data scientists, and business stakeholders to prioritize automation opportunities and develop capabilities such as document processing, claims validation, exception handling, payer-rule interpretation, coding assistance, workflow orchestration, and operational copilots.
• Lead integrations with ERP, CRM, laboratory information systems (LIS), electronic medical record (EMR/EHR) systems, clearinghouses, payer systems, and AI platforms.
• Establish practices for putting generative AI and machine learning into production, including evaluation, monitoring, governance, observability, and human review.

Qualifications stated in the listing

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
• At least 6 years of software engineering experience, including at least 3 years managing software development teams.
• Experience hiring, developing, and retaining strong engineers and managing performance, career growth, and team effectiveness.
• Track record leading the design, delivery, and operation of enterprise software, including cloud-native applications, APIs, distributed systems, and integrations.
• Knowledge of modern engineering practices, including architecture and design, automated testing, CI/CD, Infrastructure as Code, security, observability, and production support.
• Experience overseeing the full software development lifecycle while balancing feature delivery, quality, technical debt, reliability, and long-term architecture.
• Ability to improve engineering execution, delivery predictability, and operational performance using iterative development and meaningful metrics.
• Strong communication, stakeholder-management, organizational, and problem-solving skills across technical and business teams.