Loom's Interview Process (2026)

Blog / Loom's Interview Process (2026)
Loom Interview Process
Since Loom's acquisition by Atlassian, software engineer candidates for Loom teams go through the standardized Atlassian engineering interview loop. The process typically spans 5 to 6 stages over 3 to 6 weeks, and while it can vary by team and seniority level, here's what most candidates experience:
  • Recruiter Screen: A 30-minute call covering your background, interest in Loom and Atlassian, and remote-work logistics. Recruiters will also usually clarify your seniority level (P-level) during this conversation.
  • Technical Screen (Karat): A 60-minute coding assessment typically conducted by a third-party interviewer through Karat. It usually opens with a few rapid-fire fundamentals questions before moving into one or two coding problems. Notably, Atlassian offers a redo of this screen if you feel you didn't perform well, and requesting it is not held against you.
  • Coding and Data Structures Round: A live 60-minute session with an Atlassian engineer focused on algorithmic efficiency and clean, production-ready code. Interviewers care about your reasoning and code quality, not just whether you get to a solution quickly.
  • Code Design and Craft Round: A 60-minute round where you are given a real-world scenario, such as building a rate limiter or a popularity tracking service, and must implement a working solution. Interviewers look at how you structure classes, manage state, and approach testing.
  • System Design Round: A 60-minute high-level architectural discussion. For Loom teams, this often centers on topics like asynchronous video processing, real-time collaboration, or notification systems.
  • Values Interview: A structured 60-minute interview, typically conducted by a non-engineer, assessing alignment with Atlassian's five core values. This is treated as a hard filter, meaning strong technical performance alone will not carry you through if this round goes poorly.
  • Hiring Manager Chat: A shorter, 30 to 45-minute conversation to discuss team fit, role expectations, and your questions about the role. This usually wraps up the loop.
To prepare effectively, focus your study plan across these key areas that Loom's interview loop tests:
  • Data Structures & Algorithms (DSA): Algorithmic problem-solving assessed in both the Karat screen and the live coding round.
  • Low-Level Design / Code Craft: Real-world implementation scenarios testing code structure, class design, and testing habits.
  • System Design: High-level architectural design with a focus on video, real-time systems, and scalable services.
  • Behavioral / Values: Structured behavioral questions mapped directly to Atlassian's five core values.
1. Data Structures & Algorithms (DSA)The DSA round and Karat screen both test algorithmic thinking, with recent candidates reporting a shift toward practical string manipulation and logic problems rather than tricky dynamic programming puzzles. Arrays, hash maps, heaps, and strings are the most commonly surfaced topics. Working through our top 100 DSA questions is a solid way to cover the ground most likely to come up.The Karat screen often opens with a few fast conceptual questions, like the difference between a process and a thread, before moving into coding. Brushing up on heaps is worth your time given how frequently priority-based problems appear. For string-focused problems, practicing sliding window patterns will serve you well.In the live coding round, interviewers prioritize clean, readable code over raw speed. Variable naming, modularity, and thinking out loud about Big O trade-offs matter more than finishing early.
2. Low-Level Design / Code CraftThe Code Design and Craft round is one of the more distinctive parts of this loop. Instead of abstract LeetCode problems, you are given a scenario, for example building a rate limiter or a popularity tracking service, and asked to implement it from scratch. Check out Low-Level Design practice to get comfortable with this style of problem.Interviewers specifically look at how you structure your classes, handle shared state, and whether you write or at least discuss tests. Think of it as a mini coding project rather than a puzzle, and treat modularity as a first-class concern throughout.For Loom roles, you may also encounter AI-adjacent prompts, such as how you would design a system that processes Loom transcripts to automatically generate Jira tickets. Practicing open-ended implementation problems is the best preparation.
3. System DesignThe system design round for Loom teams tends to focus on real problems in the product's domain: video upload and processing pipelines, real-time collaborative editors, and notification systems. Reviewing High-Level Design concepts will give you a strong foundation across these areas.Common prompts include designing a notification service for Jira or Loom, or architecting a video processing pipeline at scale. You can practice drawing out these architectures interactively using our System Design AI Whiteboard. Grounding your answers in trade-offs around latency, consistency, and scalability tends to land well with Atlassian interviewers.For candidates on Loom or Rovo teams specifically, expect follow-up questions about integrating AI agents into existing workflows or handling AI-generated content within the platform. Think through these angles ahead of time rather than encountering them cold.
4. Behavioral / ValuesAtlassian's Values interview is a structured round, not a casual culture-fit chat, and it is a real filter in the process. You need to know Atlassian's five core values well enough to map specific stories to each one. Our Behavioral Interview Course can help you build and rehearse those stories.All behavioral questions follow the STAR format. Understanding the STAR principle and applying it consistently will keep your answers focused and concrete. Aim to have at least two prepared stories per value so you have flexibility depending on which prompts come up.Typical questions include things like 'Tell me about a time you disagreed with a technical decision' or 'Describe how you balanced technical debt against a deadline.' The Behavioral Playbook is a practical resource for structuring these answers so they read as genuine and specific rather than rehearsed.
ConclusionThe Loom interview loop rewards candidates who invest equally in technical depth and genuine behavioral preparation. Start by mapping your study plan to each round, then follow our Loom Interview Roadmap for a structured, step-by-step path through every stage of the process.

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