Its values, its interview process and the questions it asks, in short episodes. Listen on a walk, then practice.
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The behavioral question themes candidates report at Glean (ownership, disagreement, feedback, LLM experience) and what CEO Arvind Jain says he screens for: hard work, passion for the mission, collaboration and AI instinct. Build a three-layer 'Why Glean' answer with real numbers, a recent launch and a personal story.
A step-by-step walkthrough of Glean's process from recruiter screen to onsite, triangulated from Glassdoor, LeetCode, Taro, Interview Query and Blind reports, including the two-hour practical assignment and the CEO's admission that assignments are designed to require AI tools. Includes logistics, timelines and cautionary tales.
What it is like to work at Glean day to day: the founder-CEO's beliefs about hard work, self-doubt and monthly planning, the hybrid four-days-in-office policy, and the real pros and cons employees report on Glassdoor, Taro and Blind. Use it to assess fit and to ask sharp reverse questions.
Glean's culture page lists four values with specific behaviors under each, and interviewers probe them through ownership, conflict and feedback questions. This episode maps each value to the behavioral prompts it generates, the evidence of how Glean lives it, and the STAR stories you should prepare.
Glean's hardest technical problem is returning the right document to the right person across 275+ systems without leaking a snippet, and it shapes the system design and RAG rounds. Rehearse the hybrid-index-plus-permissions answer and the data-trust stories that read as senior at Glean.
Glean's Waldo (an RL-trained agentic search planner) and Jev (a zero-shot decision model) posts show how the team splits work between cheap specialist models and frontier LLMs, and how candidly it reports results. Learn the reasoning pattern Glean rewards in technical and ML interviews.
Glean's 2026 engineering posts explain how its agent harness uses 100% programmatic tool calling, a sandbox filesystem and progressive disclosure to fight context rot and cut tokens. Learn the vocabulary Glean engineers use and how to borrow it in design rounds and the practical build.
How Glean positions itself against OpenAI, Anthropic, Microsoft and the search incumbents, including its own benchmarks, token-economics pitch and CEO Arvind Jain's counterintuitive 'make us easy to replace' trust strategy. Essential for anyone asked 'how do we win' or 'what risks do you see.'
A tour of Glean's August 2026 launches and what they say about the roadmap you would join: the Tau desktop workspace, Glean Transform, independent agents with their own identities, and the 'stop botsitting' thesis. Learn how to reference one launch credibly and ask sharp questions about it.
Understand what Glean is actually building and why, from its 2019 origin at Rubrik to the May 2026 $300M ARR milestone and the 'context is everything' thesis. This is the foundation for any credible answer to 'why Glean' or 'what do you know about us.'