Airbnb Interview Questions 2026
Published July 22, 2026 · Updated July 22, 2026
13 real interview questions asked at Airbnb. Covers System Design, Behavioral, DSA / Arrays, Domain, Data Engineering / Data Quality, React / Performance, System Design / Marketplace, React / Forms, SQL / Analytics. Reported by engineers who went through the Airbnb process.
13 questions
500 engineers asked
720 upvotes
System Design (4)
Airbnb
Hard
System Design round
ElasticsearchRedisDistributed Systems
Design Airbnb's search and availability system.
A guest searches for "Paris, 3 nights, 2 guests" and sees ranked listings.
Cover: availability calendar storage, real-time inventory updates (when host blocks dates), geospatial search, ranking signals (price, reviews, Superhost status), and how you handle the thundering herd on popular dates.
↑ 64 upvotes · 62 engineers asked this · SDE2
Airbnb
Hard
System Design round
Distributed SystemsKafkaElasticsearch
Design Airbnb's trust and safety system. How do you detect fraudulent listings, scam messages, and fake reviews at scale without blocking legitimate hosts and guests?
↑ 58 upvotes · 37 engineers asked this · SDE2
Airbnb
Hard
System Design round
PostgreSQLKafkaRedis
Design Airbnb's review system. Guests and hosts review each other after a stay. Reviews are revealed simultaneously to prevent bias. Cover: the blind reveal mechanism, preventing fake reviews, and abuse detection.
↑ 55 upvotes · 34 engineers asked this · SDE2
Airbnb
Hard
System Design round
Distributed SystemsKafkaPostgreSQL
Design Airbnb's host payout system. Hosts in 220+ countries receive payouts in local currency via bank transfer, PayPal, or Payoneer. Cover: currency conversion, scheduled payouts, failed payout handling, and tax compliance.
↑ 48 upvotes · 30 engineers asked this · SDE2
Behavioral (2)
Airbnb
Medium
HR round
Airbnb talks about "belonging anywhere". Describe a time you built something that made a product more inclusive or accessible. What trade-offs did it involve?
↑ 35 upvotes · 20 engineers asked this · SDE2
Airbnb
Easy
HR round
2-6 years
Tell me about a time you advocated for the user over a business metric your team was optimizing for. What was the outcome?
↑ 19 upvotes · 7 engineers asked this · Senior SDE
DSA / Arrays (1)
Airbnb
Medium
Technical round
JavaPython
Given a list of bookings with start and end dates, find the minimum number of rooms needed so that no two overlapping bookings share a room. Explain the sweep-line and min-heap approaches.
↑ 63 upvotes · 42 engineers asked this · SDE1
Domain (1)
Airbnb
Medium
Technical round
PythonDistributed Systems
How does Airbnb's dynamic pricing work? Given historical booking data, seasonality, local events, and competitor prices, how do you recommend a nightly rate that maximises host revenue? Discuss the ML pipeline.
↑ 51 upvotes · 31 engineers asked this · SDE2
Data Engineering / Data Quality (1)
Airbnb
Hard
Scenario round
4–7 YearsPythonSnowflake
Your team discovers that 20% of user_id values in the orders table do not match any record in the users table. How do you handle this as a data engineer?
↑ 102 upvotes · 81 engineers asked this · Data Engineer
React / Performance (1)
Airbnb
Hard
Scenario round
5–8 YearsReactJavaScript
A React dashboard with 20 charts re-renders every time any filter changes, causing a 3-second lag. How do you optimize it?
↑ 116 upvotes · 91 engineers asked this · Full Stack Developer
System Design / Marketplace (1)
Airbnb
Hard
System Design round
3-7 yearsSystem DesignSQLDistributed Systems
Design the booking system for a home-rental marketplace, ensuring two guests can never double-book the same property for overlapping dates under concurrent requests.
↑ 48 upvotes · 22 engineers asked this · Senior SDE
React / Forms (1)
Airbnb
Medium
Technical round
2-5 yearsReactJavaScript
A multi-step booking form (dates → guests → payment) loses all user input if they navigate back a step or refresh the page. How would you fix this without a backend round-trip on every keystroke?
↑ 27 upvotes · 18 engineers asked this · Senior SDE
SQL / Analytics (1)
Airbnb
Medium
Technical round
2-5 yearsSQL
Write a query to find hosts whose average review rating dropped by more than 0.5 stars comparing their most recent 10 reviews to their prior 10 reviews.
↑ 34 upvotes · 25 engineers asked this · Data Engineer
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Frequently asked questions
Design Airbnb's search and availability system.
Design Airbnb's search and availability system.
A guest searches for "Paris, 3 nights, 2 guests" and sees ranked listings.
Cover: availability calendar storage, real-time inventory updates (when host blocks dates), geospatial search, ranking signals (price, reviews, Superhost status), and how you handle the thundering herd on popular dates.
Design Airbnb's trust and safety system. How do you detect fraudulent listings, scam messages, and fake reviews at scale without blocking legitimate hosts and guests?
Design Airbnb's trust and safety system. How do you detect fraudulent listings, scam messages, and fake reviews at scale without blocking legitimate hosts and guests?
Airbnb talks about "belonging anywhere". Describe a time you built something that made a product more inclusive or accessible. What trade-offs did it involve?
Airbnb talks about "belonging anywhere". Describe a time you built something that made a product more inclusive or accessible. What trade-offs did it involve?
Given a list of bookings with start and end dates, find the minimum number of rooms needed so that no two overlapping bookings share a room. Explain the sweep-line and min-heap approaches.
Given a list of bookings with start and end dates, find the minimum number of rooms needed so that no two overlapping bookings share a room. Explain the sweep-line and min-heap approaches.
How does Airbnb's dynamic pricing work? Given historical booking data, seasonality, local events, and competitor prices, how do you recommend a nightly rate that maximises host revenue? Discuss the ML pipeline.
How does Airbnb's dynamic pricing work? Given historical booking data, seasonality, local events, and competitor prices, how do you recommend a nightly rate that maximises host revenue? Discuss the ML pipeline.