Type · algorithmic
Given a list of user engagement events (timestamp, user_id, event_type), write a function to find the top K most frequent event types within a given time window.
How to Pass the Lindy Software Engineer Interview in 2026
Growth · Software Engineer Interview Guide
Sign up to see ATSHeadquartered in United StatesInterview language: English
The Lindy DNA (TL;DR)
Autonomous AI agent execution and real-world API integration skills dominate evaluation at Lindy. Candidates win points by demonstrating how they debug complex multi-step workflows in App Builder and by naming the trade-off you rejected when designing resilient error-handling.
The Lindy 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 problems, reasoning about defects, 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 Lindy interview outcomes, avoid these common traps:
- Not addressing the need for low-latency serving of experiment variants.
- Incorrectly handling overlapping intervals or edge cases where sessions start/end at the same time.
- Stating one is universally better without considering specific use cases.
- Focusing on symptoms rather than the root cause (e.g., only addressing a specific log message).
Test Yourself: Real Lindy Questions
Three real prompts pulled from our database.
Type · debugging
A critical API endpoint is intermittently returning incorrect data, causing downstream issues. Here's the code and some logs. Find the bug and explain your fix.
Type · architecture
Design a system to track and analyze user feature adoption for a SaaS product. Consider how to handle large volumes of events and provide near real-time insights.
+ many more questions, signals, and worked examples
Sign up to unlock the full Lindy grading rubric
Lindy Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 12 questions shown
1
Recruiter Screen
1- 1
Type · motivation
What interests you about Lindy's mission to help businesses optimize their growth strategies, and how do you see your skills contributing to that mission?
2
Coding Screen
3- 2
Type · algorithmic
Given a list of user engagement events (timestamp, user_id, event_type), write a function to find the top K most frequent event types within a given time window. - 3
Type · algorithmic
Implement a function that takes a list of user sessions (start_time, end_time) and returns the maximum number of concurrent sessions at any point in time. - + 1 more questions in this round (sign up to unlock)
3
System Design
3- 4
Type · architecture
Design a system to track and analyze user feature adoption for a SaaS product. Consider how to handle large volumes of events and provide near real-time insights. - 5
Type · architecture
Design a real-time A/B testing framework for a SaaS application. How would you serve different experiment variants to users and collect results reliably? - + 1 more questions in this round (sign up to unlock)
4
Onsite Coding
2- 6
Type · algorithmic
Given a dataset of user actions, implement a function to find all users who performed action A, followed by action B within 5 minutes, and then action C within 10 minutes of action B. Optimize for performance. - 7
Type · debugging
A critical API endpoint is intermittently returning incorrect data, causing downstream issues. Here's the code and some logs. Find the bug and explain your fix.
5
Behavioral / Leadership
3- 8
Type · ownership
Tell me about a time you encountered a significant technical challenge or bug in a project you owned. How did you approach it, what was the outcome, and what did you learn? - 9
Type · collaboration
At Lindy, we often balance building high-precision AI actions with the need for rapid feature deployment. Tell me about a time you and a product manager had fundamentally different views on whether an AI agent capability was ready for production. How did you reconcile the tension between model performance benchmarks and the urgency of shipping to our users? - + 1 more questions in this round (sign up to unlock)
Unlock all 12 Lindy 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 Lindy
How Lindy's DNA translates across functions. Pick your role.
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Practice Lindy interviews end-to-end
Lindy Mock Interview
Run a live mock interview with our AI interviewer using Lindy-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Lindy Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Lindy interviewers grade on. Reuse them across every behavioral round.
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Lindy Interview Prep Hub
The frameworks behind every Lindy 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 Lindy 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 Lindy interview questions shows.
Given a list of user engagement events (timestamp, user_id, event_type), write a function to find the top K most frequent event types within a given time window.
A strong answer shows: Efficient use of data structures (e.g., HashMap for counts, Min-Heap for top K).; Correct implementation of time window filtering.; Clear and concise code..
A critical API endpoint is intermittently returning incorrect data, causing downstream issues. Here's the code and some logs. Find the bug and explain your fix.
A strong answer shows: Logical deduction based on logs and code.; Identification of race conditions, deadlocks, or subtle data inconsistencies.; Thorough testing of the fix.; Clear explanation of the problem and solution..
Frequently asked questions
How long does the Lindy interview process take?
Most candidates spend between 4 and 8 weeks from recruiter screen to offer. The onsite loop itself runs in a single day or is split across two half-days, with debrief and offer typically within 5 business days after.
How should I prepare specifically for Lindy?
Focus on three things: (1) the company DNA shown above - what they actually grade for, (2) the rounds in your loop, especially the round most candidates underestimate, and (3) drilling on the question types in this guide using a structured framework like CIRCLES or STAR.
Does this apply to engineering or design roles at Lindy?
The DNA stays the same - what changes is the round mix. SWE candidates face coding screens instead of Product Sense; designers face portfolio reviews and design exercises. The "what they value" and behavioral signals carry across all functions.
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