Our mission is simple but critical: make sure nothing breaks what customers actually do. As the team manager, youll 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. Youll 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 coveragenot user perception
Represent the teams work in roadmap and release planning conversations, ensuring product confidence at every milestone
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 arent surprised by what breaks
