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Supabase

Open-source Postgres platform with pgvector, a common backend for AI apps

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Interview in a few hours? A quick sprint for Supabase

AI in interviews

low confidence

No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.

Checked 25 Oct 2026Source

Typical interview loop

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

  1. Application review and intro call

    Focus: Fit and remote readiness

    The team reviews your application, then holds a short video call to get to know you; everything runs remotely and async-friendly.

  2. Technical interview

    Focus: Applied coding, Postgres knowledge

    About an hour of applied coding with an engineer, mixing practical problem solving with knowledge of the platform.

  3. Take-home project

    Focus: Code plus written reasoning

    Mostly for senior and staff roles: a several-hour project done on your own schedule, judged on the code and on the written explanation that comes with it.

  4. Team and leadership interviews

    Focus: Collaboration, values, ownership

    Up to four calls with team leads, future teammates, someone cross-functional from product, growth or engineering, and someone from leadership or the founding team, followed by a decision.

Topics to prepare for Supabase

The topics its loop weighs most, each with what interviewers check and what to study.

How it weights your plan

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

Behavioral+30%
Coding+20%
ML fundamentals-20%
Transformers-20%

Official prep and resources

Public candidate write-ups

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