Manager, AI Workflow Validation & Testing

Manager, AI Workflow Validation & Testing

Job Summary

Red Hat’s AI Engineering organization is hiring a Manager to lead our newly-formed AI Workflow Validation & Testing function within the AI Platform Core Components (AIPCC) team. This team will safeguard the reliability of real-world customer workflows by using AI to replicate and test actual end-user deployment scenarios at scale.

Our mission is simple but critical: make sure nothing breaks what customers actually do. As the team manager, you’ll build and guide a cross-functional group of engineers who use AI tools and human insight to run automated regression tests, simulate key workflows, and flag breakages before customers ever see them. You’ll help set the standard for AI-enhanced product validation, ensuring that rapid development never compromises real-world reliability.

What You Will Do:

• Lead and grow a cross-functional testing team focused on end-to-end workflow validation, not exploratory usability testing

• Develop a regression-first test strategy rooted in replicating key customer workflows across platforms

• Build scalable systems that simulate user behavior and validate product stability after each release

• Leverage AI tooling (e.g., Testim, Diffblue, GPT, Lookback) to automate test execution, data synthesis, and failure detection

• Collaborate with Engineering and Product to rapidly triage regressions and workflow breakages into actionable fixes

• Design and evolve AI Lightspeed as an internal workflow automation system, with potential for future productization

• Establish clear metrics for product reliability rooted in task success and regression coverage—not user perception

• Represent the team’s work in roadmap and release planning conversations, ensuring product confidence at every milestone

What You Will Bring:

• Experience in software quality engineering, technical validation, or product testing

• Experience leading a team within a QA, DevOps, or platform validation team

• Strong knowledge of real-world usage simulation and workflow-based test modeling

• Comfort working with AI-enhanced tools like GPT, Diffblue, Testim, Mixpanel AI, or similar

• Ability to work cross-functionally with Engineering and PMs to translate breakage insights into roadmap action

• Strategic mindset with a hands-on approach: you care about automation and results, not just frameworks

Nice to Have:

• Experience working on AI platforms or validating AI-integrated products

• Experience building or working with automated regression and functional test suites, ideally enhanced by AI 

• Familiarity with observability and testing infrastructure at scale

• A track record of driving innovation in software quality or test automation

• Passion for ensuring real users aren’t surprised by what breaks

#AIHiring

#LI-JC2

The salary range for this position is $170,770.00 - $281,770.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. 

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a le