Airbnb Interview Questions

Airbnb Interview Questions

Practice 124 real Airbnb interview questions for 2026 — Airbnb interview questions drawn from real onsites with detailed solutions. Covers the top categories: Coding & Algorithms, System Design, Behavioral & Leadership, Analytics & Experimentation, and Data Manipulation (SQL/Python). This guide explains what’s distinctive about Airbnb interviews, what teams evaluate (clarity of code, product sense, experimentation rigor, and cross-functional judgment), what to expect in each round, and how to structure your interview preparation to maximize impact. For Software Engineer roles (the majority of questions), expect heavy coding and design: text-layout and query-parsing problems, split-stay/exact-layover booking logic, booking-system and banking-ledger designs, graph/shortest-path puzzles (maze and downhill-run problems), board-game and permutation constraints, plus live code-review exercises. Data Scientists see rigorous experiment and causality work — A/B test design with clustering, browse/booking metric computation in Python and SQL, causal regressions, panel builds, and global-launch impact estimation. Machine Learning Engineers focus on production models like photo/listing quality and minimizing booking edge cases. Backend and PM interviews emphasize marketplace backend design and product metrics. Prep by practicing medium-to-hard algorithms, system design tradeoffs with strong product rationale, and hands-on SQL/Python experiment analyses.

124 Questions 1 Company08.01.2026
Showing 20 results
Role
Airbnb logo
Airbnb
Easy
Software Engineer

Implement a Removable Nested-List Iterator

Implement a Removable Nested-List Iterator Implement an iterator over a mutable array of integer arrays. Traversal goes left to right within each inne...

Coding & Algorithms
9
0
92 people solved
Jul 14, 2026
Airbnb logo
Airbnb
Hard
Software Engineer

Design a Stateful Working Hours Register

Design a working-hours register for employees who badge into and out of an office. Describe the data model, public operations, validation rules, and a...

Software Engineering Fundamentals
8
0
63 people solved
Jul 20, 2026
Airbnb logo
Airbnb
Medium
Data Scientist

Walk Through an Experiment From Design to Decision

Describe an experiment you designed or analyzed. Explain the decision it was meant to inform, how you chose the experimental unit and metrics, what th...

Analytics & Experimentation
5
0
85 people solved
Jul 8, 2026
Airbnb logo
Airbnb
Medium
Software Engineer

Implement a Multi-Level Recipe Management Service

Implement a Multi-Level Recipe Management Service Design and implement an in-memory recipe manager. A recipe stores a name, an ordered ingredient list...

Software Engineering Fundamentals
2
0
16 people solved
Jul 25, 2026
Airbnb logo
Airbnb
Hard
Software Engineer

Implement a Time-Aware Banking System

Implement a Time-Aware Banking System Design an in-memory banking component in four increments. It must create accounts, accept deposits, transfer fun...

Software Engineering Fundamentals
1
0
15 people solved
Jul 21, 2026
Airbnb logo
Airbnb
Medium
Data Scientist

Present and Defend a Product Experiment You Designed

Present and Defend a Product Experiment You Designed Describe a real experiment you designed or analyzed. The discussion will probe the decision conte...

Behavioral & Leadership
0
0
6 people solved
Aug 1, 2026
Airbnb logo
Airbnb
Medium
Data Scientist

Describe How You Use SQL in Data Science Work

How do you use SQL in your day-to-day data-science work? Describe the kinds of problems you solve, the complexity of queries you can own, and the chec...

Data Manipulation (SQL/Python)
3
0
38 people solved
Jul 8, 2026
Airbnb logo
Airbnb
Hard
Data Scientist

Design an A/B test with causal inference

A/B Test Design: Checkout Nudge (Guest-Level Randomization) You own experimentation for an e-commerce checkout flow. You're launching a checkout nudge...

Analytics & Experimentation
82
1
1336 people solved
Oct 13, 2025
Airbnb logo
Airbnb
Medium
Software Engineer

Design a Scalable Job Scheduler

Design an internal job scheduling platform for a large company. The platform lets internal services and engineers submit jobs that run at a specified ...

System Design
57
0
431 people solved
Apr 8, 2026
Airbnb logo
Airbnb
Medium
Data Scientist

Present Recent Analytics Work for a Recruiter

Describe your most recent work to a recruiter, then identify one additional experience you would want the recruiter to share with the hiring team. Mak...

Behavioral & Leadership
0
0
17 people solved
Jul 8, 2026
Airbnb logo
Airbnb
Medium
Data Scientist

Explain Why You Want an Analytics Role at Airbnb

Why are you looking for a new opportunity, and why are you interested in an analytics role at Airbnb? Build a concise recruiter-screen answer that con...

Behavioral & Leadership
1
0
18 people solved
Jul 8, 2026
Airbnb logo
Airbnb
Hard
Software Engineer

Design an A/B Testing Platform

Design an A/B Testing Platform Design a platform that lets product teams define an experiment, assign eligible users consistently to control or treatm...

System Design
11
0
102 people solved
Apr 21, 2026
Airbnb logo
Airbnb
Medium
Data Scientist

Design and Analyze Airbnb Locker Experiment

Airbnb is considering launching a luggage locker feature that lets guests store their bags before their scheduled check-in time, so they don't have to...

Analytics & Experimentation
49
0
344 people solved
Feb 21, 2026
Airbnb logo
Airbnb
Hard
Software Engineer

Design a Group Chat / Messaging System

Design a Group Chat / Messaging System Design the backend for a real-time group chat feature embedded in a large consumer product (think of the in-app...

System Design
4
0
80 people solved
Mar 4, 2026
Airbnb logo
Airbnb
Medium
Software Engineer Locked

Design a booking system

This question evaluates system design skills including distributed systems, data modeling, concurrency control, consistency models, API design, scalab...

System Design
72
0
712 people solved
Feb 12, 2026
Airbnb logo
Airbnb
Hard
Backend EngineerSenior+ Locked

Design a Rental Marketplace Backend

This question evaluates a candidate's ability to design a scalable, low-latency backend for a global vacation-rental marketplace, testing competencies...

System Design
32
0
359 people solved
Mar 7, 2026
Airbnb logo
Airbnb
Medium
Software Engineer Locked

Design a Distributed Key-Value Store

This question evaluates expertise in distributed systems and large-scale storage design, covering API design, partitioning, replication, request routi...

System Design
12
0
222 people solved
Jan 9, 2026
Airbnb logo
Airbnb
Medium
Software Engineer Locked

Find Optimal Property Combination

This question evaluates combinatorial optimization and algorithmic problem-solving skills, focusing on subset selection under capacity constraints and...

Coding & Algorithms
2
1
49 people solved
May 26, 2026
Airbnb logo
Airbnb
Hard
Software EngineerSenior+

Design a fast host listing metrics page

Design the backend for a host (landlord) listings page. User flow: - Host opens a page showing many of their listings. - Host selects a date range. - ...

System Design
39
0
492 people solved
Dec 20, 2025
Airbnb logo
Airbnb
Hard
Software EngineerSenior+

How do you conduct a code review exercise?

In a live interview, you are shown a short code change — a diff, a pull request, or a standalone function — and asked to produce written code review c...

Software Engineering Fundamentals
22
0
387 people solved
Jan 19, 2026

Frequently Asked Questions

How difficult are Airbnb interview questions (for these 124 real Airbnb interview questions)?
Airbnb interview questions in this 124-question set range from medium to hard, with difficulty skewed toward production-ready engineering and applied analytics. Software Engineer problems are often medium-to-hard algorithmic puzzles that require clean, efficient implementations and complexity reasoning; system-design prompts expect solid tradeoff analysis for real-world services. Data Scientist problems emphasize causal thinking, robust metrics and experiment diagnostics; ML Engineer prompts focus on model design and evaluation for product quality. Overall, you should expect time-constrained problem solving plus product-oriented discussion — the bar rewards correctness, clarity, product sense, and measurable impact rather than exotic tricks.
What is the Airbnb interview process and where do Airbnb interview questions appear in the loop?
The typical Airbnb loop starts with a recruiter screen, then a technical phone or take-home assessment, followed by an engineering loop of roughly 4–6 interviews and a final debrief. Coding & Algorithms and System Design questions usually appear in the technical rounds early in the loop for Software and Backend Engineers; a code-review or implementation exercise is often present. Behavioral and leadership questions run alongside technical rounds and influence team fit. For Data Scientists you will see analytics, SQL and A/B testing rounds; ML Engineers see modeling and product-quality design; Product Managers and cross-functional roles get product-sense and metric-definition questions.
How should I structure a preparation timeline for Airbnb interview preparation?
A focused six-week timeline works well: weeks 1–2 strengthen core coding patterns, data structures, and timed practice; week 3 concentrates on medium-hard algorithm problems and complexity tradeoffs; week 4 pivots to system design fundamentals and service tradeoffs with mock design interviews; week 5 covers analytics, SQL, experiment design, and machine-learning diagnostics; week 6 polishes behavioral stories, domain-specific themes from Airbnb questions, and full mock loops. Include weekly mock interviews, code review practice, and at least one end-to-end loop simulation to build stamina and refine communication under time pressure.
What key subtopics will Airbnb interview questions test across roles?
Across roles Airbnb emphasizes a few recurring themes. For Software Engineers expect graph and pathfinding problems, constrained permutations and combinatorics, text parsing/layout tasks, and booking-orchestration designs like layover or group booking systems; code-review and board-game style logic also recur. Data Scientists face experiment design, clustered A/B testing, robust primary and guardrail metrics, causal regressions, panel-building in SQL, browsing and conversion metric computation, and launch-impact estimation. ML Engineers are asked about photo and listing quality models and product-focused objective minimization. Backend roles focus on scalable rental marketplace architecture and transactional consistency.
What standout tips and common pitfalls should I know for Airbnb interview questions?
Standout tips: start by clarifying requirements and success metrics, state assumptions aloud, outline tradeoffs, and connect technical choices to product impact. For coding, write correct, readable code with edge cases and complexity analysis; for design and analytics, propose measurable guardrails and diagnostics. Common pitfalls include skipping clarified constraints, optimizing prematurely, weak data-quality checks in experiments, neglecting failure modes or consistency in backend designs, and giving behavioral answers without concrete impact metrics. Practice end-to-end loops, rehearse Airbnb-relevant stories, and run targeted mock interviews that mirror the company’s product-oriented evaluation.

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