Director of Quality Assurance Engineering

Posted Yesterday
Hiring Remotely in United States
Remote
225K-245K Annually
Expert/Leader
Machine Learning • Software
We develop software that helps people get the right medical care, at the right time, at the right price.
The Role
Lead and transform the QA function for an AI-accelerated software organization. Define technical quality strategy, CI/CD gates, test-data approaches for PHI, and automation across unit, integration, and end-to-end testing. Build and grow a high-performing quality engineering team, set release standards and exit criteria, integrate AI/LLM evaluation with MLEs, and provide auditable metrics for leadership and regulators.
Summary Generated by Built In

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.

We’re seeking a skilled a Director of Quality Assurance Engineering to join our team!
 
The Director of Quality Engineering owns the quality function across the full software development lifecycle — from strategy and organizational design to the technical standards that govern how software ships. This is a strategic leadership role for someone who is leading the rethinking of what quality means in an era where AI generates the majority of code, and who can build the systems, culture, and team to match.
 
The Ideal candidate is...
  • 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.
Does this sound like the right opportunity to explore?... Lets connect! 
 
What You’ll Do
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

What You Bring
  • 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.
  • Experience in regulated environments (HIPAA or equivalent) strongly preferred.
  • Excitement to make an impact in rewiring US healthcare!
What We Offer
  • Work from anywhere in the US! Machinify is digital-first.
  • Top Medical/Dental/Vision offerings
  • FSA/HSA
  • Tuition reimbursement
  • Competitive salary, 401(k) with company match
  • Unlimited PTO
  • Additional health and wellness benefits and perks
  • Flexible and trusting environment where you’ll feel empowered to do your best work

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 

 
Equal Employment Opportunity at Machinify
 
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Skills Required

  • 10+ years of software quality engineering experience
  • 4+ years in a leadership role
  • 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)
  • Experience evaluating AI-generated tests for correctness and coverage fidelity
  • Experience with mutation testing, risk-based testing, and production observability as quality gates
  • Deep familiarity with the test automation landscape across languages and stacks
  • Experience designing CI/CD-integrated quality gates and automation framework philosophy
  • Experience with test data strategy in PHI-constrained environments and regulated environments (HIPAA)

Machinify Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Machinify and has not been reviewed or approved by Machinify.

  • Healthcare Strength Health coverage is described as employer-paid for employees with additional support for dependents, alongside dental, vision, mental health, and FSA/HSA options. Listings consistently depict comprehensive medical benefits.
  • Leave & Time Off Breadth Policies include unlimited PTO, paid holidays and sick time, and a weekly no‑meetings day. These elements indicate broad time‑off access alongside flexible scheduling.
  • Parental & Family Support Inclusive paid parental leave is stated at 14 weeks for birth and non‑birth parents. Family benefits are prominently featured across public materials.

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The Company
HQ: Dallas, TX
96 Employees
Year Founded: 2016

What We Do

Machinify is an AI start-up in the Healthcare space. Our software platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems in the healthcare industry impacting millions of lives.

Why Work With Us

We are a heavily cross-functional, collaborative diverse team working together to solve big problems that matter. If you are looking for an exciting environment where you'll be challenged to do the best work of your career, consider joining us!

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