Manager Billing Automation
Veracyte · San Diego, California, United States · US
Posted 60+ days ago
Health Tech
On-site
Not yet analysed
Demand70
Career growth75
Healthcare fit55
Remote potential50
5-year outlook
Competitive for engineering management in health tech, with strong growth potential as AI adoption in revenue cycle expands. Exact figures depend on experience and company performance.
Clinical license
Not required
Applicant reach
moderate
Seniority
mid
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians with a strong technical background (e.g., informatics, software engineering) and leadership experience could pivot into this role, leveraging domain knowledge in diagnostics and billing. However, it requires significant engineering management experience, so it's not suitable for most clinicians without that background.
Who should apply
Clinicians with prior software engineering or health informatics leadership experience, or those with deep revenue cycle management knowledge in a diagnostic lab setting.
CV angle
Highlight clinical domain expertise in diagnostics and understanding of laboratory billing/reimbursement, combined with any technical leadership, AI/ML project experience, and cross-functional collaboration with finance and operations.
Skills to highlight
- AI/ML
- Cloud computing
- API development
- Team leadership
- Revenue cycle management
- Healthcare regulations
- Process automation
Role summary
Lead an engineering team building AI-powered billing automation solutions for a genomics company, focusing on revenue cycle transformation.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.