Type · ownership

Growth · Software Engineer Interview Guide
Applies via GreenhouseHow to Pass the Too Good To Go Software Engineer Interview in 2026
The Too Good To Go DNA (TL;DR)
The Too Good To Go 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 Too Good To Go interview outcomes, avoid these common traps:
- Inefficient sorting or greedy approach that doesn't guarantee optimality.
- Describing a situation where agreement was easily reached.
- Relying on a single point of failure for sending notifications.
- The 'persuasion' involved simply stating facts without understanding the stakeholder's perspective.
Test Yourself: Real Too Good To Go Questions
Three real prompts pulled from our database.
Type · API Design
Type · Algorithmic
+ many more questions, signals, and worked examples
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Too Good To Go Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 22 questions shown
Recruiter Screen
1- 1
Type · Motivation
What excites you about Too Good To Go's mission to fight food waste, and how do you see your skills as a software engineer contributing to that mission?
Coding Screen
3- 2
Type · Algorithmic
Given a list of food orders with pickup times and delivery windows, write a function to find the maximum number of orders a single delivery driver can complete within a 10-hour shift, assuming each order takes 30 minutes to pick up and 45 minutes to deliver. - 3
Type · Data Structures
Implement a data structure that efficiently stores and retrieves 'surprise bags' available at different store locations, supporting operations like adding a new bag, marking a bag as sold, and finding available bags within a given radius of a user's location. - + 1 more questions in this round (sign up to unlock)
System Design
3- 4
Type · Scalability
How would you design a system to handle a surge in user activity during peak hours (e.g., just before closing time for restaurants) for the Too Good To Go app, ensuring a smooth user experience and reliable order processing? - 5
Type · Reliability
Imagine the system responsible for notifying users about newly available surprise bags experiences intermittent failures. How would you design this notification system to be highly reliable and fault-tolerant? - + 1 more questions in this round (sign up to unlock)
Onsite Coding
3- 6
Type · Algorithmic
You're given a stream of user actions (view, add to cart, purchase) and restaurant updates (bag added, bag sold). Design an algorithm to estimate the real-time inventory of surprise bags across all restaurants, considering potential delays in updates. - 7
Type · Debugging
Users are reporting that sometimes their order confirmation emails are delayed or not received at all. The system uses a background job queue for sending emails. How would you approach debugging this issue? - + 1 more questions in this round (sign up to unlock)
Behavioral / Leadership
12- 8
Type · conflict resolution
Tell me about a time you had a significant disagreement with a stakeholder (e.g., engineer, designer, marketing, sales) about a product decision. How did you approach it, and what was the outcome? - 9
Type · ownership
Describe a time you took ownership of a problem or project that wasn't explicitly assigned to you. What was the situation, and what did you do? - + 10 more questions in this round (sign up to unlock)
Unlock the full Too Good To Go question bank
Free signup, no credit card. You get every question + the framework, grading signals, and worked answer for each.
Interview tracks at Too Good To Go
How Too Good To Go's DNA translates across functions. Pick your role.
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Practice Too Good To Go interviews end-to-end
Too Good To Go Mock Interview
Run a live mock interview with our AI interviewer using Too Good To Go-style prompts. Get scored on structure, signal, and answer length — exactly how the real loop grades you.
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STAR Stories for Too Good To Go Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Too Good To Go interviewers grade on. Reuse them across every behavioral round.
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Too Good To Go Interview Prep Hub
The frameworks behind every Too Good To Go 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 Too Good To Go interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
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