Director of Quality Assurance Engineering

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

• A leader who has a pulse on industry AI best practices and is already transforming quality for the AI-accelerated development era.
• Someone who relishes impact through roles no longer defined by traditional QA boundaries: you operate at the intersection of platform, engineering, MLE, and product.
• A quality advocate who can hold the bar on rigor without becoming the bottleneck on velocity.
• A data-driven leader who develops meaningful metrics and uses them to drive decisions — not just report status.

Strategy & Leadership

• Rethink the QA team methodologies and skillsets/training in a world where AI generates the majority of code — evaluation methodologies, coverage metrics that account for AI-generated tests, and scaling to validation of multiplying volumes of code and use cases, without proportional headcount growth.
• Lead, grow, and inspire a high-performing team of Quality Engineers; own hiring targets, career ladders, and a high impact, innovative culture; Grow leadership muscle in your team.
• Represent quality to executive leadership and regulators with meaningful metrics and auditable evidence; be the organizational quality gate.

Technical Quality Strategy

• Own an AI-driven technical quality architecture: test data strategy in PHI-constrained environments, CI/CD-integrated gate design, and the automation framework philosophy across unit, integration, and end-to-end surfaces.
• Establish release quality standards and exit criteria that balance engineering velocity with production confidence; Define defect triage and escalation protocols used across teams.
• Partner with platform and MLE to integrate AI/LLM evaluation methodology into the delivery pipeline.
• Deep familiarity with the test automation landscape across languages and stacks

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.

Pay range: 225,000-245,000 + meaningful equity package