Type · Algorithmic
You are given two sorted arrays of user IDs, representing users who have purchased product A and users who have purchased product B. Find the intersection of these two arrays efficiently.
Growth · Software Engineer Interview Guide
Sign up to see ATSHeadquartered in GermanyInterview language: English
How to Pass the ABOUT YOU Software Engineer Interview in 2026
The ABOUT YOU DNA (TL;DR)
ABOUT YOU seeks individuals who can drive tangible results within autonomous teams, demonstrating an entrepreneurial mindset to quickly iterate on features for their online shop. They assess how candidates prioritize initiatives that directly impact key e-commerce metrics.
The ABOUT YOU Interview Loop
Your onsite loop will typically consist of 5 rounds.
- 1
Round 1
Recruiter ScreenMotivation, role fit, logistics. - 2
Round 2
Coding ScreenLeetCode-medium algorithmic problems under time pressure. - 3
Round 3
System DesignDistributed systems, trade-offs at scale, architecture under constraints. - 4
Round 4
Onsite CodingLeetCode-hard, debugging, code clarity, edge cases. - 5
Round 5
Behavioral / LeadershipPast evidence of ownership, influence, resolving conflict.
The Danger Zone: Top Reasons Candidates Fail
Based on our database of ABOUT YOU interview outcomes, avoid these common traps:
- Lack of fault tolerance and retry mechanisms.
- Using a single, non-scalable message queue.
- Not handling edge cases like empty streams or very short time windows.
- Ignoring the cold-start problem for new users or products.
Test Yourself: Real ABOUT YOU Questions
Three real prompts pulled from our database.
Type · System Design
Design a system to recommend related products to users based on their browsing history and purchase data. Consider scalability for millions of users and products.
Type · Conflict Resolution
At ABOUT YOU, we often balance immediate conversion-driving features against long-term architectural health. Describe a specific instance where you and a product owner had conflicting views on whether to prioritize a quick fix for a seasonal sales spike or a more robust, long-term refactor. How did you quantify your technical concerns to reach a decision that aligned with our e-commerce business goals?
+ many more questions, signals, and worked examples
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ABOUT YOU Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 14 questions shown
1
Recruiter Screen
1- 1
Type · Motivation
What interests you about working at ABOUT YOU, and how do you see your skills contributing to our mission of building the leading fashion and lifestyle platform in Europe?
2
Coding Screen
3- 2
Type · Algorithmic
Given a stream of user events (e.g., product views, add-to-carts) for our e-commerce platform, design an algorithm to detect a sudden surge in a specific product's popularity within a rolling time window (e.g., last 5 minutes). - 3
Type · Algorithmic
Implement a function that takes a list of product IDs and their corresponding stock levels, and returns a list of product IDs that are currently out of stock, sorted by their original index. - + 1 more questions in this round (sign up to unlock)
3
System Design
4- 4
Type · System Design
Design a system to recommend related products to users based on their browsing history and purchase data. Consider scalability for millions of users and products. - 5
Type · System Design
Design a distributed rate limiter for our API gateway to protect backend services from being overwhelmed by traffic. Discuss trade-offs between accuracy, latency, and complexity. - + 2 more questions in this round (sign up to unlock)
4
Onsite Coding
3- 6
Type · Debugging
Here is a code snippet that is supposed to calculate the average rating for a given product. It's producing incorrect results for some products. Find the bug and fix it. [Provide a buggy code snippet] - 7
Type · Algorithmic
Given a binary tree representing product categories, write a function to find the lowest common ancestor (LCA) of two given product nodes. Assume nodes have unique IDs. - + 1 more questions in this round (sign up to unlock)
5
Behavioral / Leadership
3- 8
Type · Conflict Resolution
At ABOUT YOU, we often balance immediate conversion-driving features against long-term architectural health. Describe a specific instance where you and a product owner had conflicting views on whether to prioritize a quick fix for a seasonal sales spike or a more robust, long-term refactor. How did you quantify your technical concerns to reach a decision that aligned with our e-commerce business goals? - 9
Type · Ownership
Describe a time you took ownership of a challenging technical problem or project that was outside your immediate responsibilities. What motivated you, and what was the impact? - + 1 more questions in this round (sign up to unlock)
Unlock all 14 ABOUT YOU questions, free
No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.
Interview tracks at ABOUT YOU
How ABOUT YOU's DNA translates across functions. Pick your role.
Compare ABOUT YOU with similar employers
Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.
Flipkart
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Wallapop
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Healf
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Practice ABOUT YOU interviews end-to-end
ABOUT YOU Mock Interview
Run a live mock interview with our AI interviewer using ABOUT YOU-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for ABOUT YOU Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals ABOUT YOU interviewers grade on. Reuse them across every behavioral round.
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ABOUT YOU Interview Prep Hub
The frameworks behind every ABOUT YOU round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.
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Interview Frameworks
CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make ABOUT YOU interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
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Sample answers
What a strong answer to these ABOUT YOU interview questions shows.
You are given two sorted arrays of user IDs, representing users who have purchased product A and users who have purchased product B. Find the intersection of these two arrays efficiently.
A strong answer shows: Efficient algorithm for sorted arrays.; Correctly identifying common elements.; Handling duplicates.; Understanding of time complexity..
Design a system to recommend related products to users based on their browsing history and purchase data. Consider scalability for millions of users and products.
A strong answer shows: Understanding of recommendation algorithms.; Scalable data storage and processing.; Microservices architecture.; Real-time data handling.; Handling of cold-start problem..
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