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Illinois workNet

Manager, AI-Native Quality Engineering

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What they do

A Quality Engineering Manager interfaces with customers, suppliers, and various company departments to resolve quality problems and develop strategic quality improvement activities. Responsible for building strong relationships with the global customer quality organizations to ensure customer support and product performance through continuous improvement.

$151,656 / year median in Illinois

+2% projected growth

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Job Description

Job Description Job Description:
Insight Global is seeking a Manager, AI-Native Quality Engineering for a top technology client. This candidate will serve as a player-coach, leading a team of quality engineers while remaining hands-on with automation strategy, framework improvements, and AI-powered testing initiatives. The ideal candidate will bring strong leadership experience, deep test automation expertise, and a passion for leveraging AI to improve software quality, increase automation coverage, optimize regression testing, and strengthen release confidence. This individual will partner closely with Engineering, Product, DevOps, and Release teams to build scalable, AI-native quality practices that enable faster, more reliable software delivery
Day-to-Day:
Lead, mentor, and develop a team of Quality Engineers, Automation Engineers, and Testers Drive AI-powered test automation initiatives across API, UI, Integration, and E2E testing Evaluate and implement AI tools to improve test generation, execution, maintenance, and defect analysis Improve regression testing strategies through AI and automation Partner closely with Engineering, Product, DevOps, and Release teams to improve software quality Establish AI governance standards and quality engineering best practices Track automation effectiveness, release readiness, defect trends, and quality metrics Support release management activities, risk assessments, and go/no-go recommendations Remain hands-on with automation frameworks and AI-assisted testing solutions We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 7+ years of Software QA, Quality Engineering, or Test Automation experience 2+ years of people management or team leadership experience Strong hands-on automation testing experience across API, UI, Integration, and End-to-End testing Experience building, maintaining, and scaling test automation frameworks Experience leveraging AI tools to improve testing, automation, and quality engineering processes Experience with AI tools such as GitHub Copilot, Cursor, Claude, ChatGPT, or Azure OpenAI Strong understanding of CI/CD pipelines and Agile environments Experience leading and developing Quality Engineering teams Strong stakeholder management and communication skills Authorized to work in the U.S. SaaS or product-based software experience Experience coaching teams through AI adoption and process transformation Prompt engineering experience for testing and defect analysis workflows Experience evaluating AI-generated test outputs for quality and accuracy Experience working in AI-native or agentic development environments Bachelor's degree in Computer Science, Software Engineering, or related field