Glean Interview Preparation
Medium-HardTechnology · India
See how teams are deploying agents and building AI-native workflows to run real work. Glean’s enterprise AI platform helps people do their best work with AI that understands their company’s knowledge, data, and expertise. Glean began with a simple problem: people couldn’t find the knowledge they needed to do their jobs. We started with enterprise search and grew into an enterprise AI platform built on company context. Arvind Jain is the Founder and CEO of Glean, the AI-powered work assistant that brings people the answers they need to be more productive and happier at work. Prior to Glean, Arvind co-founded and led R&D at Rubrik, a publicly traded leader in the data security space. Arvind also spent over a decade at Google as a distinguished engineer, where he led teams in Google’s Search, Maps, and YouTube products. Prior, Arvind held a leadership position at Akamai and started his career at Microsoft. He earned his BTech in Computer Science from the Indian Institute of Technology, Delhi, and his Masters in Computer Science from the University of Washington. Summarize recent customer meetings including who attended and the topics that were discussed. T.R. Vishwanath is a Co-founder and Technical Infrastructure Lead at Glean, and he oversees the development and maintenance of integrations with various data sources. He enjoys designing reliable and fast solutions to meaningful user problems. Before joining Glean, Vish held technical leadership roles at Facebook for close to a decade, contributing to various areas of the product such as the Facebook developer platform, News Feed, and Ads. Prior to Facebook, they worked on developer tools and runtimes at Microsoft. Vish holds a B. Tech. in Computer Science from IIT Delhi, India, and a Masters from the University of Texas at Austin. Research a new project and identify insights, resources, and subject matter experts. Summarize a feature's status, detailing progress, current tasks, upcoming goals, blockers, and team feedback. Emrecan Dogan is the Chief Product Officer at Glean. He manages product, data science, product operations, and technical project management teams at Glean. Emrecan has 15+ years experience in Product Management, holding prior roles at Stripe, LinkedIn and Amazon. He holds an MBA from Stanford University Graduate School of Business and a BSc in Industrial Engineering from Boğaziçi University. Juliet Bramwell is the VP of EMEA at Glean. With extensive experience in the technology sector, Juliet has a proven track record of delivering high impact, growth and business results. Most recently,
About Glean
See how teams are deploying agents and building AI-native workflows to run real work. Glean’s enterprise AI platform helps people do their best work with AI that understands their company’s knowledge, data, and expertise. Glean began with a simple problem: people couldn’t find the knowledge they needed to do their jobs. We started with enterprise search and grew into an enterprise AI platform built on company context. Arvind Jain is the Founder and CEO of Glean, the AI-powered work assistant that brings people the answers they need to be more productive and happier at work. Prior to Glean, Arvind co-founded and led R&D at Rubrik, a publicly traded leader in the data security space. Arvind also spent over a decade at Google as a distinguished engineer, where he led teams in Google’s Search, Maps, and YouTube products. Prior, Arvind held a leadership position at Akamai and started his career at Microsoft. He earned his BTech in Computer Science from the Indian Institute of Technology, Delhi, and his Masters in Computer Science from the University of Washington. Summarize recent customer meetings including who attended and the topics that were discussed. T.R. Vishwanath is a Co-founder and Technical Infrastructure Lead at Glean, and he oversees the development and maintenance of integrations with various data sources. He enjoys designing reliable and fast solutions to meaningful user problems. Before joining Glean, Vish held technical leadership roles at Facebook for close to a decade, contributing to various areas of the product such as the Facebook developer platform, News Feed, and Ads. Prior to Facebook, they worked on developer tools and runtimes at Microsoft. Vish holds a B. Tech. in Computer Science from IIT Delhi, India, and a Masters from the University of Texas at Austin. Research a new project and identify insights, resources, and subject matter experts. Summarize a feature's status, detailing progress, current tasks, upcoming goals, blockers, and team feedback. Emrecan Dogan is the Chief Product Officer at Glean. He manages product, data science, product operations, and technical project management teams at Glean. Emrecan has 15+ years experience in Product Management, holding prior roles at Stripe, LinkedIn and Amazon. He holds an MBA from Stanford University Graduate School of Business and a BSc in Industrial Engineering from Boğaziçi University. Juliet Bramwell is the VP of EMEA at Glean. With extensive experience in the technology sector, Juliet has a proven track record of delivering high impact, growth and business results. Most recently,
Interview Rounds4
2–3 DSA coding problems on HackerRank, CodeSignal, or company platform
Data structures & algorithms — arrays, trees, graphs, dynamic programming
System design or low-level design — scalability, APIs, databases
Career goals, teamwork, strengths/weaknesses, role expectations
Practice Questions10
Key Topics
- Data Structures & Algorithms150q
- System Design50q
- Object-Oriented Design40q
- SQL & Databases25q
- CS Fundamentals (OS, Networking)25q
Expert Tips
- Practice LeetCode easy and medium problems before the OA — focus on arrays, strings, trees, and graphs.
- For system design, use the RESHADED framework: Requirements, Estimation, Storage, High-level design, APIs, Detailed design, Evaluation.
- Prepare 3–4 STAR stories covering: a challenge you solved, a time you worked in a team, a project you owned end-to-end.
- After every coding solution, proactively state the time and space complexity — interviewers expect it.
- Study common CS fundamentals: process vs thread, TCP vs UDP, REST vs GraphQL, SQL indexing, CAP theorem.