Head of AI Billing Platform Engineering

Veracyte, Inc.

United States

Hybrid

USD 147,000 - 160,000

Full time

3 days ago
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Job summary

Veracyte, Inc. seeks an experienced Software Development Manager to lead the engineering team for our AI-powered Billing Automation platform.

The role focuses on building cloud-native software and enterprise integrations to improve laboratory billing and reimbursement processes. The ideal candidate has a strong track record in software engineering management, delivering secure and scalable systems, and collaborating with product, finance, and AI teams.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 6+ years of software engineering experience, including 3+ years managing software development teams.
  • Proven experience delivering enterprise software, cloud-native apps, APIs, and integrations.
  • Experience with AI-enabled products, intelligent automation, or AI integration in production.

Responsibilities

  • Lead and grow a high-performing software engineering team for the AI-Powered Billing Automation platform.
  • Define and execute the engineering roadmap with cross-functional partners.
  • Deliver secure, scalable, cloud-native applications and APIs supporting billing and revenue-cycle workflows.
  • Define AI strategy for billing automation balancing innovation with security and compliance.
  • Partner with AI engineers and data scientists to prioritize intelligent automation opportunities.
  • Lead development of AI-powered capabilities like document processing and claims validation.
  • Design integrations with ERP, CRM, LIS, EMR/EHR, and payer systems.

Skills

Software leadership
Team management
Enterprise software
Cloud-native
AI-enabled

Education

Bachelor’s degree in CS/Engineering

Tools

AWS
AI platforms

Job description

Veracyte, Inc. seeks an experienced Software Development Manager to lead the engineering team for our AI-powered Billing Automation platform.

The role focuses on building cloud-native software and enterprise integrations to improve laboratory billing and reimbursement processes. The ideal candidate has a strong track record in software engineering management, delivering secure and scalable systems, and collaborating with product, finance, and AI teams.

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