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
Hard
Software Engineer

Enable secure offline reservation caching

System Design: Offline Caching for Reservations (PWA) Design a web application that supports offline access to reservation information. The app is a p...

System Design
20
0
202 people solved
Aug 12, 2025
Airbnb logo
Airbnb
Medium
Software Engineer

Design an extensible request Retryer

Problem You are building a small library component called a Retryer that wraps an operation (typically a network call) and retries it on failure. Requ...

Software Engineering Fundamentals
6
0
120 people solved
Oct 13, 2025
Airbnb logo
Airbnb
Hard
Software EngineerSenior+

Answer cross-team delivery and values questions

You are in a behavioral/values interview. Prepare structured answers (use STAR or similar) for prompts like: 1) Cross-team delivery issue - Describe a...

Behavioral & Leadership
12
0
168 people solved
Dec 20, 2025
Airbnb logo
Airbnb
Hard
Software Engineer

Design a customer LTV prediction system

System Design: End-to-End ML for Customer Lifetime Value (LTV) Context You are designing an end-to-end machine learning system to estimate customer li...

ML System Design
14
0
147 people solved
Aug 12, 2025
Airbnb logo
Airbnb
Medium
Machine Learning Engineer Locked

Minimum Canisters to Top Up an Exact Target

This question evaluates a candidate's grasp of dynamic programming, specifically the unbounded knapsack (coin change) pattern for finding the minimum ...

Coding & Algorithms
1
0
12 people solved
Jun 22, 2026
Airbnb logo
Airbnb
Medium
Data Scientist

Analyze A/B Test Results to Inform Stakeholder Decisions

Analyze A/B Test Results to Inform Stakeholder Decisions You receive raw log-level event data from an A/B test on a consumer booking funnel. You must ...

Analytics & Experimentation
25
0
133 people solved
Jul 12, 2025
Airbnb logo
Airbnb
Hard
Software Engineer

Design a Connect-Four-like board game

Design an object-oriented model for a turn-based, grid-based “drop token” board game similar to Connect Four. Game rules (define these precisely in yo...

Software Engineering Fundamentals
17
0
120 people solved
Jan 19, 2026
Airbnb logo
Airbnb
Hard
Data Scientist Locked

Design and assess an A/B test

This question evaluates a data scientist's competency in experimental design, statistical power and sample-size estimation, metric definition and guar...

Analytics & Experimentation
7
0
97 people solved
Sep 6, 2025
Airbnb logo
Airbnb
Medium
Data Scientist

Test conversion difference and adjust for clustering

Using aggregated results for the 7‑day window 2025‑08‑26..2025‑09‑01, evaluate statistical significance and power for conversion uplift, accounting fo...

Statistics & Math
18
0
154 people solved
Oct 13, 2025
Airbnb logo
Airbnb
Hard
Software Engineer

Design multi-currency pricing end-to-end

System Design: Multi-Currency Price Display and Booking Context You are building a global travel marketplace where guests discover listings, view pric...

System Design
22
0
175 people solved
Aug 12, 2025
Airbnb logo
Airbnb
Hard
Data Scientist

Estimate Causal Impact Using Synthetic Control Methods

Estimate Causal Impact Using Synthetic Control Methods A product feature has already launched to 100% of traffic, and no explicit control or holdout g...

Analytics & Experimentation
19
0
152 people solved
Jul 12, 2025
Airbnb logo
Airbnb
Hard
Software Engineer

Reduce frontend network requests efficiently

Reduce Redundant Frontend Requests for Availability and Pricing Context You are designing the web client and APIs for a bookings marketplace that disp...

System Design
11
0
115 people solved
Aug 12, 2025
Airbnb logo
Airbnb
Hard
Data Scientist

Lead cross-functional decision without RCT evidence

Behavioral: Ship vs. Rollback After a Global Launch Without a Holdout Context You are a Data Scientist in a consumer marketplace. An important feature...

Behavioral & Leadership
10
0
112 people solved
Oct 13, 2025
Airbnb logo
Airbnb
Hard
Software Engineer

Find hotel pairs to cover a split stay

You are implementing a simplified “split stay” feature. Problem You are given: - n hotels (or listings), indexed 0..n-1. - For each hotel i, an unsort...

Coding & Algorithms
42
1
315 people solved
Nov 18, 2025
Airbnb logo
Airbnb
Medium
Machine Learning Engineer Locked

Design photo and listing quality models

This question evaluates competency in machine learning product design and engineering, encompassing labeling strategy, feature engineering, model sele...

Machine Learning
11
0
114 people solved
Jan 5, 2026
Airbnb logo
Airbnb
Easy
Software Engineer Locked

Implement Text Layout and Query Parsing

This question evaluates string-processing and parsing competencies, covering tokenization, constrained line-wrapping and layout decisions (including p...

Coding & Algorithms
6
2
64 people solved
Mar 9, 2026
Airbnb logo
Airbnb
Hard
Software Engineer

Design a hot-listing waitlist API

Design a hot-listing waitlist API System Design: Waitlist API for High-Demand Listings Context You are designing a waitlist system for a marketplace t...

System Design
24
0
226 people solved
Jul 16, 2025
Airbnb logo
Airbnb
Hard
Software Engineer

Infection Spread Time on a Grid

Infection Spread Time on a Grid You are given an m x n grid where every cell holds one of three integer values: - 0 — an empty cell that can never be ...

Coding & Algorithms
0
0
7 people solved
Mar 4, 2026
Airbnb logo
Airbnb
Medium
Product Manager

Airbnb Mission, Belonging & Hosting

Behavioral Interview Prompt: Airbnb Mission, Belonging, and Hosting You are interviewing for a Product Manager role. This prompt assesses mission alig...

Behavioral & Leadership
20
0
122 people solved
Jul 4, 2025
Airbnb logo
Airbnb
Medium
Data Scientist

Define Success Metrics and Experiment Plan for Product Development

Define Success Metrics and Experiment Plan for Product Development You are in a product-planning session for a new change to the core booking funnel i...

Analytics & Experimentation
31
0
91 people solved
Jul 12, 2025

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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