Director of Quality Assurance Engineering

Machinify is a healthcare intelligence company that uses an AI-powered platform to improve financial outcomes and reduce healthcare costs for health plans. The Director of Quality Assurance Engineering will lead the quality function across the software development lifecycle, redesign quality practices for AI-accelerated development, and build systems, standards, and teams that ensure reliable software delivery.

Responsibilities:

• 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
• 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

Requirements:

• 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
• 10+ years of software quality engineering experience, with 4+ years in a leadership role and 2+ years driving strategy and execution in an AI-accelerated development environment
• Track record of building or transforming a quality function at scale — org and role design, not just team management
• Experience evaluating AI-generated tests for correctness of intent and coverage fidelity — able to distinguish tests that pass from tests that actually verify the right behavior
• Experience showing measurable impact with mutation testing, risk-based testing, and production observability as a continuous quality gate
• Excitement to make an impact in rewiring US healthcare!
• Experience in regulated environments (HIPAA or equivalent) strongly preferred