Figma

Typical interview loop

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

1. 1

   Recruiter call

   Focus: Background & motivation

   A 30-minute chat about your past experience, why Figma, how well you understand the product and what you want next.

2. 2

   Hiring manager call

   Focus: Experience & team fit

   About 45 minutes with the hiring manager, mostly behavioral and about your past work, plus an overview of what the team builds.

3. 3

   Technical screen

   Focus: Practical algorithmic coding

   An hour of live coding in CoderPad on algorithm problems dressed up in a Figma-like setting, around medium difficulty.

4. 4

   Onsite: coding

   Focus: Data structures & algorithms

   Another hour of data-structures-and-algorithms coding, framed as a practical problem rather than a pure puzzle.

5. 5

   Onsite: design rounds

   Focus: Architecture & collaboration

   Collaborative design sessions on a shared digital whiteboard where you sketch an architecture, talk it through and write code for it; the second design round is tailored to the role, so ML candidates should expect an ML system to design.

6. 6

   Onsite: project deep dive and behavioral

   Focus: Ownership, depth & collaboration

   You present a past technical project (scope, trade-offs, what went wrong, lessons) and, in a separate hour, discuss feedback, conflict and past work with a manager from another team.

How it weights your plan

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