Director of Quality Assurance Engineering

We're seeking a Director of Quality Engineering to lead and reshape how our engineering team approaches testing in the AI era. This isn't a traditional QA leadership role. This is a rare time to fundamentally rethink what quality means for engineering today and to build the vision, systems, and lead our existing quality engineering team that set the standards for what comes next. 

Our Culture @ Machinify

We embrace complex challenges with curiosity, having genuine interest and drive to understand the hard problems at hand and how to move the needle forward. Our engineers empower each other to take action, learn deeply about our customers' needs and unlock innovation with a strong sense of product ownership. We build with our users in mind, thoughtfully shipping outcomes, not just features. The technology we build shapes real healthcare decisions, demanding a high bar for engineering excellence and what we ship carries real weight. We pressure-test new AI tools, shape how they're used, and set the example for what disciplined, AI-driven engineering looks like...fast, but always under structured human oversight.

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: 225,000-250,000 ~