Quality Engineering Manager – AI Automation
Location: Rosemont, CO
Job Type: Contract To Hire
Company: IDR
Category: All Other
Job Description Apply Now
The Quality Engineering Manager – AI Automation is a pivotal leadership role designed for professionals passionate about driving innovation in quality assurance and software testing. This position oversees the evolution of quality engineering practices, with a strong emphasis on integrating AI-assisted testing and advanced automation frameworks within SaaS and product-oriented environments. As the Quality Engineering Manager – AI Automation, you will play a central role in leading and mentoring a diverse team of Quality Engineers, Automation Engineers, and Testers, ensuring the delivery of reliable, high-quality software products. This full-time opportunity offers professionals the chance to shape the future of software quality by implementing next-generation testing methodologies and collaborating with cross-functional teams to optimize delivery pipelines and product releases.
Working as a Quality Engineering Manager – AI Automation provides the unique chance to influence both the strategic and tactical aspects of quality engineering. You will work closely with engineering, product, DevOps, and release management teams to fortify CI/CD pipelines, establish responsible AI adoption standards, and champion a culture of continuous improvement. Your efforts will directly contribute to release confidence, improved quality metrics, and enhanced customer satisfaction, making you a key contributor to the company's ongoing success in the rapidly evolving technology sector.
Quality Engineering Manager – AI Automation Summary- Lead the transition towards AI-assisted testing and modern automation within a dynamic SaaS/product development landscape.
- Direct a team through hands-on leadership, fostering growth, technical excellence, and a collaborative environment.
- Partner with various departments to align quality engineering strategies with organizational goals and release objectives.
- Develop, track, and analyze critical quality metrics to drive performance and product reliability.
- Lead, develop, and mentor a team of Quality Engineers, Automation Engineers, and Testers to achieve high performance and continuous improvement.
- Adopt and advance AI-assisted testing practices, ensuring ethical and effective use of artificial intelligence within the quality engineering process.
- Design, implement, and enhance automated testing frameworks for API, UI, integration, and end-to-end test coverage, increasing efficiency and reliability.
- Collaborate with Engineering, Product, DevOps, and Release Management teams to strengthen CI/CD quality gates, streamline release readiness, and improve defect management processes.
- Define, monitor, and report on key quality metrics such as automation reliability, defect trends, regression effectiveness, and release health to inform data-driven decisions.
- Promote a culture of accountability, collaboration, and knowledge sharing while maintaining a hands-on, player-coach leadership style.
- Champion best practices and continuous improvement initiatives in testing and automation strategies across the organization.
- Competitive compensation package designed to attract top talent in quality engineering leadership roles.
- Comprehensive benefits including medical, dental, vision, and life insurance to support employee well-being.
- Employee Stock Ownership Program offering a stake in the company's long-term success.
- Access to a dedicated Engagement Manager focused on career development and workplace satisfaction.
- Recognition as part of a team known for award-winning staffing excellence and a supportive workplace culture.
- Minimum 7 years of experience in QA, Quality Engineering, or Test Automation with strong automation and technical expertise.
- At least 2 years of proven leadership experience managing large-scale QA teams (15+ members preferred).
- Comprehensive knowledge of modern test strategies, including API, UI, integration, and end-to-end automation frameworks.
- Expertise in Agile methodologies, CI/CD practices, and contemporary software delivery models.
- Proficiency with AI tools such as Claude, ChatGPT, Copilot, Cursor, or Azure OpenAI, and experience coaching teams on AI utilization in testing.
- Excellent communication, mentorship, and stakeholder management skills.
- Innovative leader with a passion for advancing AI-driven quality engineering practices.
- Hands-on manager who excels in team development, collaboration, and technical mentorship.
- Results-oriented professional with a track record of optimizing release confidence and product quality in SaaS or product-driven environments.
- Adaptable and proactive, thriving in dynamic, fast-paced technical settings.
- This is a full-time opportunity offering remote flexibility and a supportive, growth-oriented environment.
- The organization has over 25 years of proven industry experience and a reputation for excellence in multiple markets.
- Opportunities for advancement and continual learning are emphasized, with a focus on innovation and industry leadership.
- Joining this team means being part of an award-winning company recognized for its commitment to both client and talent success.
If you are ready to lead the future of quality engineering and automation, apply now by clicking the application button and take the next step in your career as a Quality Engineering Manager – AI Automation.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. IDR is subject to certain governmental recordkeeping and reporting requirements for the administration of civil rights laws and regulations. In order to comply with these laws, we invite employees to voluntarily self-identify their race or ethnicity, gender, and veteran status (if applicable). Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. You may access this form here.