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Notion

Connected workspace whose Notion AI searches, writes and runs agents

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Interview in a few hours? A quick sprint for Notion

AI in interviews

high confidence

Notion's AI Applications Engineer guide includes one AI-enabled coding interview where AI coding tools are available and strongly encouraged. In every other round, you may not have tools like ChatGPT or Copilot write code, though looking up syntax is fine.

Checked 20 Oct 2026Source

Typical interview loop

How Notion usually runs it for applied AI and LLM engineer roles.

  1. Initial recruiter interview

    Focus: Mutual fit

    A roughly 20-minute call to learn about your experience and what you want next, and to hear what Notion is building.

  2. Technical screen (backend coding)

    Focus: Working, tested code

    A 60-minute session with a Notion engineer building a solution to a real-world problem, where you're expected to run and test your code.

  3. Onsite: career history

    Focus: Ownership, collaboration

    A non-technical deep dive into your past roles, biggest achievements and challenges, and how you worked with other functions.

  4. Onsite: coding and software design

    Focus: Coding, design skills

    A second coding round where you implement against an abstract interface, plus an open-ended software design interview.

  5. Onsite: AI-enabled coding

    Focus: Working with AI tools

    A backend coding interview where AI coding tools are available and encouraged, and interviewers watch how you fold them into your problem solving.

  6. Post-onsite conversation

    Focus: Values, motivation

    A 30-minute talk with a senior leader on your experience, values and motivations, followed by reference checks.

How it weights your plan

Selecting Notion when you build a plan multiplies each topic’s priority score:

AI coding round+40%
Coding+30%
Behavioral+20%
ML fundamentals-20%

Official prep and resources

Public candidate write-ups

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