Scale AI Engineering Manager Onsite Interview Preparation Guide

Onsite prep note: 5 onsite interviews - Multiple days 1. Product sense interview - least ranked - get a pdf from PM - requirements from a product dashboard. Think about a time working with PM. Come up

Onsite prep note: 5 onsite interviews - Multiple days 1. Product sense interview - least ranked - get a pdf from PM - requirements from a product dashboard. Think about a time working with PM. Come up 3 strong ideas. As the mindsets of PM. Dive deep into each idea. Go online and Github - readings about product management and preparation. Medium strong PM interviews. 2. System design - 60 mins. Excalidraw to practice - Build ticket master for example. Open ended. Focus on areas strongest. Gathering info/requirement ahead of time and Functional/non-functional. Deep dive and trade-offs. Why choose 1 solution over the other? Job scheduling system to talk to external LLM. Need to handle retry, timeout. 3. Coding interview - 60 mins. Hackerrank - Python. 2 parts. Complete 1 one then 2 questions. Logic based not leetcode. Implementation - data transformation, data parsing, compute stats. Understand JSON. Can use Google. Progress, execution, Thinking and communication, talk about the problem and gathering requirement, clean code, testing. I got Party block question as mentioned in many threads. 4. 30 mins with Flex Su - Head of Enterprise - similar to screening interview. Management leadership questions Current challenges in Enterprise team and how to address them. On prem client support. 5. Culture interview - past exp, related to core values. Scale.com/carrers to find core values 10 of them. Find 4 - ownership as the job, run through wall, why not faster, resolve speed loudness. Star methods to show each of them. A project to grind through the last mile. A cause, could be conflicts Your team member to describe your weakness Most impactful achievement