
Hybrid opportunity at
VeracyteSoftware Development Manager
Veracyte is looking for an experienced Software Development Manager to lead its engineering team focused on an AI-powered Billing Automation platform. In this hybrid role based…
Career Tools
About This Role
Veracyte is looking for an experienced Software Development Manager to lead its engineering team focused on an AI-powered Billing Automation platform. In this hybrid role based in San Diego or South San Francisco (with potential remote flexibility for the ideal candidate), the manager will oversee people leadership, technical direction, execution, and operational performance. The position involves building and operating software that enhances laboratory billing, reimbursement, claims processing, and revenue-cycle workflows…
Job Description
Veracyte is looking for an experienced Software Development Manager to lead its engineering team focused on an AI-powered Billing Automation platform. In this hybrid role based in San Diego or South San Francisco (with potential remote flexibility for the ideal candidate), the manager will oversee people leadership, technical direction, execution, and operational performance. The position involves building and operating software that enhances laboratory billing, reimbursement, claims processing, and revenue-cycle workflows through cloud-native applications, enterprise integrations, workflow automation, and artificial intelligence.
The employer is a global diagnostics company centered on transforming cancer care worldwide by equipping clinicians with valuable insights. The individual in this position will collaborate closely with Product Management, Revenue Cycle Management, Finance, Laboratory Operations, Data and AI, Enterprise Applications, Architecture, and CloudOps to decrease manual workloads, boost billing precision, speed up reimbursement, and elevate operational efficiency. This role is well-suited for an accomplished engineering manager with a proven track record of developing engineers and delivering complex enterprise software.
Responsibilities
- Lead, mentor, and expand a high-performing software engineering team focused on the AI-Powered Billing Automation platform
- Partner with cross-functional departments to define and execute the engineering roadmap
- Deliver secure, scalable, and highly available cloud-native applications, APIs, and AI-enabled services
- Establish technical strategies for applying artificial intelligence to billing automation while keeping reliability, security, and regulatory compliance in balance
- Collaborate with AI engineers, data scientists, and business stakeholders to prioritize intelligent automation opportunities
- Direct the creation of AI capabilities including intelligent document processing, claims validation, exception handling, and workflow orchestration
- Design and implement integrations across enterprise platforms like ERP, CRM, LIS, EHR systems, clearinghouses, and payer systems
- Set engineering standards for integrating generative AI and machine learning into production systems
- Drive engineering excellence via CI/CD, Infrastructure as Code, automated testing, code quality, security, and observability
- Work alongside CloudOps and Platform Engineering to optimize AWS infrastructure for availability, performance, and cost
- Define metrics and KPIs tracking software quality, AI effectiveness, delivery predictability, and business results
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
- At least 6 years of software engineering experience
- Minimum 3 years of experience managing software development teams
- Demonstrated success in hiring, developing, and retaining high-performing engineers
- Proven background in leading the design, delivery, and operation of enterprise software, cloud-native applications, APIs, distributed systems, and integrations
- Strong command of modern engineering practices, automated testing, CI/CD, Infrastructure as Code, and production support
- Experience managing the complete software development lifecycle
Qualifications
- Experience delivering software for healthcare operations, revenue-cycle management, laboratory billing, claims processing, or payer integrations
- Background in launching AI-enabled products, intelligent automation, document processing, or workflow orchestration solutions in production
- Familiarity with generative AI and machine learning technologies like LLMs, RAG, vector search, and AI agents
- Experience utilizing AI services and frameworks such as Amazon Bedrock, OpenAI, Anthropic, Azure OpenAI, LangGraph, LangChain, or Semantic Kernel
- Familiarity with healthcare regulations and standards including HIPAA, HL7, FHIR, X12, CPT, and ICD-10
- Experience working with laboratory systems or enterprise platforms such as SAP, Salesforce, Workday, and Oracle
- Background in modernizing legacy applications or operating in regulated healthcare, diagnostics, life sciences, or medical-device environments
- Relevant AWS certification such as Solutions Architect, Developer, or DevOps Engineer
Core Skills
Benefits
- Eligible for additional discretionary bonuses or incentives
- Eligible for restricted stock units
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote policy for this role?
This is a hybrid position based out of the San Diego, CA or South San Francisco, CA office. The employer may also be open to remote work for the ideal candidate.
What is the salary range for the Software Development Manager?
The base pay range for this role is USD 147,000 to 160,000 per year, and the position may also be eligible for discretionary bonuses, incentives, and restricted stock units.
What experience is required to apply?
Candidates must have a bachelor's degree in a technical field or equivalent experience, at least six years of software engineering experience, and a minimum of three years managing software development teams.
What employment type is this position?
The posting specifies that this is a full-time position.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.