Note: The job is a remote job and is open to candidates in USA. Veracyte is a global diagnostics company focused on transforming cancer care through genomic, clinical, bioinformatic, and AI capabilities. The Software Development Manager will lead the engineering team responsible for an AI-powered Billing Automation platform, overseeing people leadership, technical direction, delivery, and operational performance. The role includes developing cloud-native applications, enterprise integrations, workflow automation, and AI-enabled services for billing, reimbursement, claims processing, and revenue-cycle workflows.
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
Skills
- * 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
- * Demonstrated success hiring, developing, and retaining high-performing engineers while managing performance, career growth, and team effectiveness
- * 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
- * Experience delivering software for healthcare operations, revenue-cycle management, laboratory billing, claims processing, reimbursement, coding, or payer integrations
- * Experience delivering AI-enabled products, intelligent automation, document processing, operational copilots, or workflow-orchestration solutions in production
- * Familiarity with generative AI and machine-learning technologies, including LLMs, retrieval-augmented generation, vector search, AI agents, model evaluation, and human-in-the-loop workflows
- * Experience integrating AI services or frameworks such as Amazon Bedrock, OpenAI, Anthropic, Azure OpenAI, LangGraph, LangChain, Semantic Kernel, or similar technologies
- * Familiarity with healthcare regulations, standards, and transactions such as HIPAA, HL7, FHIR, X12, CPT, and ICD-10
- * Experience with laboratory systems and workflows or enterprise platforms such as SAP, Salesforce, Workday, Oracle, clearinghouses, and electronic health record systems
- * Experience modernizing legacy applications, leading distributed or hybrid teams, or working in regulated healthcare, diagnostics, life sciences, or medical-device environments
- * Relevant AWS certification, such as Solutions Architect, Developer, or DevOps Engineer
Benefits
- This is a hybrid role based out of our San Diego, CA or South San Francisco, CA office. We may also be open to remote for the ideal candidate.
- This role may be eligible for additional discretionary bonuses/incentives.
- This role may be eligible for restricted stock units.
Company Overview
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