Glean
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
Glean is looking for a talented Quality Assurance Lead to join our rapidly expanding, VC-backed startup. Glean is the work assistant with intuition. Find exactly what you need, right when you need it so you and your team can get big things done. Our team works hard and plays hard. We are professional, creative, passionate, and most importantly - customer-obsessed. As the QA Lead, you would develop and drive our test automation charter. The ideal candidate will be hands-on in building frameworks, tools, and infrastructure that enable efficient, scalable testing across Glean. You will: Lead the development of our test automation frameworks, focusing on reliability, maintainability, and speed Create reusable test libraries and components that can be shared across different product areas Lead technical implementation of performance testing and monitoring solutions Develop custom reporting and analytics tools to provide insights into test coverage and quality metrics Drive adoption of newer testing technologies and approaches (visual testing, accessibility, security, AI-assisted testing, etc.) Provide technical mentorship to QA engineers on automation best practices and framework usage Optimize test execution pipelines for faster feedback in CI/CD environments Implement solutions for test data management and synthetic data generation Partner with development teams to implement shift-left testing practices Lead root cause analysis for critical issues and drive systematic improvements to prevent recurrence Participate in code reviews to ensure testability and quality considerations are addressed early About you: 6-9 years of software testing experience with strong focus on automation Expert-level programming skills in Python or Java Deep understanding of testing framework architecture (page objects, custom assertions, reporting integrations) Strong experience with modern testing tools (Selenium, Playwright, Cypress etc) and API testing frameworks Experience building CI/CD pipelines and working with Containers Strong working knowledge of cloud platforms like AWS, GCP Experience with performance testing tools and methodologies Proven track record of building tools and frameworks used by engineering teams Understanding of testing patterns and anti-patterns in automation Location: This role is hybrid (4 days a week in our Bangalore office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms.