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
Medium
Data Scientist Locked

Define product success metrics

This question evaluates a candidate's ability to design product success metrics, specify input and guardrail metrics, plan event instrumentation, and ...

Analytics & Experimentation
15
0
126 people solved
Sep 6, 2025
Airbnb logo
Airbnb
Medium
Software Engineer Locked

Count Candies from Unlockable Boxes

This question evaluates a candidate's understanding of graph traversal, state management, and object-oriented design to determine reachability and res...

Coding & Algorithms
1
1
29 people solved
May 27, 2026
Airbnb logo
Airbnb
Medium
Machine Learning Engineer Locked

Minimize exact layover bookings

This question evaluates algorithmic problem-solving and numeric precision handling, specifically the ability to model exact-duration sums and minimize...

Coding & Algorithms
10
1
72 people solved
Jan 5, 2026
Airbnb logo
Airbnb
Medium
Software Engineer

Compute split-stay listing pairs

Given a set of Airbnb listings, each with availability represented as a sorted list of day integers, and a requested inclusive date range [S, E], comp...

Coding & Algorithms
55
0
537 people solved
Sep 6, 2025
Airbnb logo
Airbnb
Medium
Software Engineer

Walk through a project in detail

Walk Through a Significant Project Provide a deep-dive on one impactful project you led or contributed to. Cover: 1. Timeline: Start/end dates and maj...

Behavioral & Leadership
18
0
153 people solved
Sep 6, 2025
Airbnb logo
Airbnb
Medium
Software Engineer

Prioritize consumer product opportunities

Case: Improve Engagement in a Consumer App with Flat MAU Context You are given a large consumer mobile app whose monthly active users (MAU) have been ...

Behavioral & Leadership
8
0
71 people solved
Sep 6, 2025
Airbnb logo
Airbnb
Medium
Software Engineer

Review a geospatial Python module

You receive a Python module that processes geospatial datasets (CSV/GeoJSON) to compute distances, cluster nearby points, and write summaries. Perform...

Data Manipulation (SQL/Python)
5
0
95 people solved
Sep 6, 2025
Airbnb logo
Airbnb
Medium
Software Engineer Locked

Construct smallest number from I/D pattern

This question evaluates a candidate's ability to reason about permutation constraints, sequence ordering, and combinatorial construction under digit-u...

Coding & Algorithms
38
1
271 people solved
Feb 11, 2026
Airbnb logo
Airbnb
Medium
Software Engineer

Print Sentences as Table

Implement a function that formats a list of sentences as a bordered table. Given: - sentences: a list of strings - width: the fixed content width of e...

Coding & Algorithms
3
1
16 people solved
Feb 9, 2026
Airbnb logo
Airbnb
Hard
Software Engineer

Design a dynamic rental pricing system

System Design: ML-Driven Nightly Pricing for Short-Term Rentals Context Design a production ML system that recommends (and optionally auto-sets) night...

ML System Design
16
0
155 people solved
Aug 12, 2025
Airbnb logo
Airbnb
Medium
Software Engineer Locked

Determine Exact Layover Booking

This question evaluates a candidate's competency in algorithmic problem solving, numerical precision handling, and combinatorial selection under exact...

Coding & Algorithms
59
1
412 people solved
Apr 12, 2026
Airbnb logo
Airbnb
Medium
Software Engineer

Compute minimum-cost service cover

You are given: ( 1) a list of rental service packages, where each package contains a set of services (strings) and a non-negative price, e.g., [(["wif...

Coding & Algorithms
22
0
180 people solved
Jul 26, 2025
Airbnb logo
Airbnb
Medium
Software Engineer

Describe your role, motivations, and values

Behavioral HR Screen: Self-Introduction, Current Role, Motivation for Change, and Cultural Fit Context You’re in an initial HR screen for a Software E...

Behavioral & Leadership
11
0
117 people solved
Sep 6, 2025
Airbnb logo
Airbnb
Hard
Software Engineer

Implement retry wrapper and interdependent validators

Context You are implementing reusable utilities that are commonly needed in modern web apps: 1) a robust retry wrapper for functions that can fail syn...

Software Engineering Fundamentals
14
0
121 people solved
Sep 6, 2025
Airbnb logo
Airbnb
Medium
Data Scientist Locked

Build and evaluate an order prediction model

This question evaluates a data scientist's competency in building and evaluating binary classification models with temporal constraints and operationa...

Machine Learning
6
0
67 people solved
Oct 13, 2025
Airbnb logo
Airbnb
Medium
Data Scientist

Compute browsing metrics in Python from logs

Given event logs, write idiomatic Pandas to compute segment-level metrics and a funnel. Data schema: events(event_id, ts_utc, guest_id, device in {des...

Data Manipulation (SQL/Python)
1
0
19 people solved
Oct 13, 2025
Airbnb logo
Airbnb
Hard
Software Engineer

Design scalable notification system

Design scalable notification system System Design: Low-Latency, Multi-Channel Notification Platform You are asked to design a scalable, reliable notif...

System Design
30
0
172 people solved
Jul 29, 2025
Airbnb logo
Airbnb
Medium
Data Scientist

Influence Decisions Without Direct Authority: Strategies and Outcomes

Influence Decisions Without Direct Authority This behavioral prompt asks about influencing cross-functional decisions without formal authority in a da...

Behavioral & Leadership
14
0
109 people solved
Jul 12, 2025
Airbnb logo
Airbnb
Medium
Software Engineer

Describe an impactful consumer project

Behavioral: End-to-End Consumer Project (Software Engineer) You are interviewing for a software engineering role focused on consumer-facing products. ...

Behavioral & Leadership
10
0
77 people solved
Sep 6, 2025
Airbnb logo
Airbnb
Medium
Software Engineer

Design menu DP and optimize for three items

You are given a restaurant menu with n single items and m combo offers. Each single item i has a price p[i] (in cents). Each combo j specifies nonnega...

Coding & Algorithms
5
2
39 people solved
Sep 6, 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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