About the job
About Glean:
Founded in 2019, Glean is a groundbreaking AI-driven knowledge management platform that empowers organizations to swiftly locate, organize, and share information within their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean ensures that employees have access to vital knowledge precisely when they need it, enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, enabling teams to leverage their collective intelligence more efficiently.
Glean was born from the insights of our Founder & CEO, Arvind Jain, who recognized the challenges employees encounter in finding and comprehending information at work. Witnessing the fragmentation of knowledge and the overwhelming number of SaaS tools that hinder productivity, he aspired to create a superior solution—an AI-powered enterprise search platform that allows individuals to quickly and intuitively access the information they require. Since its inception, Glean has become the premier Work AI platform, merging enterprise-grade search, an AI assistant, and robust application- and agent-building capabilities to fundamentally transform how employees work.
About the Role:
Glean is seeking a dynamic Lead Quality Assurance Engineer to join our rapidly growing, VC-funded startup. Glean acts as a work assistant with intuition, helping you find exactly what you need, right when you need it, allowing you and your team to achieve great results. Our team embodies a culture of hard work and fun; we are professional, creative, passionate, and above all—customer-focused.
Your Responsibilities:- Lead the development and execution of our test automation strategy.
- Design and implement testing frameworks, tools, and infrastructure to facilitate scalable testing across Glean.
About Glean
Glean is a pioneering AI-powered knowledge management platform that enhances organizational efficiency by simplifying the way teams find and share information. Our innovative solutions are designed to address the challenges of fragmented knowledge and enhance workplace productivity.

