Katkat

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Airbnb interview questions

112 practice questions in the style of Airbnb's interviews, covering Behavioral & Leadership, Data Manipulation (SQL/Python), Coding & Algorithms, Software Engineering Fundamentals, Machine Learning, Analytics & Experimentation, ML System Design, System Design, Statistics & Math.

Questions112

3 easy78 medium31 hard

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Airbnb interview questions by the numbers

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Katkat has 112 Airbnb interview questions. The largest topics are Coding & Algorithms (30%), Software Engineering Fundamentals (18%) and Behavioral & Leadership (13%). By difficulty: 3% easy, 70% medium and 28% hard. The most common round is Onsite (45%). Frequent concepts include Data Structures, Design, Greedy and Hash Table.

Difficulty

  • Easy3% · 3
  • Medium70% · 78
  • Hard28% · 31

Interview rounds

  • Onsite45% · 50
  • Technical Screen36% · 40
  • Online Assessment15% · 17
  • HR Screen4% · 4
  • Other1% · 1

Roles

  • Software Engineer67% · 75
  • Data Scientist17% · 19
  • Machine Learning Engineer11% · 12
  • Data Engineer4% · 4
  • Backend Engineer1% · 1

Frequent concepts

  • Data Structures7% · 8
  • Design5% · 6
  • Greedy4% · 5
  • Hash Table4% · 5
  • System Design4% · 5
  • Concurrency4% · 4

Showing 1–30 of 112 results

  • Address miscommunication and alignment evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    AirbnbSoftware EngineerBehavioral & LeadershipTechnical Screen
  • This question evaluates skills in relational data aggregation and feature engineering using SQL alongside fitting and interpreting regression models in Python, targeting competencies in transforming event-level user metrics into a modeling dataset and interpreting coefficient estimates.

    AirbnbData ScientistData Manipulation (SQL/Python)Technical Screen
  • Practice Airbnb behavioral interview answers about mission, belonging, hosting, and product empathy. The guide connects Airbnb's mission to personal stories, inclusive team behavior, guest and host trust, safety, accessibility, hosting concepts, and measurable product impact.

    AirbnbProduct ManagerBehavioral & LeadershipOther
  • Implement a function to allocate an order across inventory batches using FIFO (oldest timestamp first, with batch ID tie-breaker), returning allocation details and any unfilled quantity without mutating the input.

    AirbnbSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates algorithm design and data-structure selection skills, focusing on greedy allocation, ordering by priority and recency, aggregation of transaction amounts, and analysis of time complexity.

    AirbnbSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates a candidate's competency in cross-team delivery, stakeholder communication across time zones and cultures, project ownership, risk assessment, and leadership when internal ETAs slip, and it falls under the Behavioral & Leadership category.

    AirbnbSoftware EngineerBehavioral & LeadershipTechnical Screen
  • Implement an in-memory loyalty-points ledger that grows in three stages: atomic transfers between accounts, transfers scheduled for a future point on a simulated clock, and cancellation of a transfer before it fires. Tests incremental state-machine design, validating before mutating, and keeping point totals correct across every sequence of calls.

    AirbnbSoftware EngineerSoftware Engineering FundamentalsOnline Assessment
  • This question tests the ability to design a robust end-to-end machine learning pipeline for binary classification, focusing on preventing temporal data leakage, managing class imbalance, and aligning model thresholds with business objectives.

    AirbnbData ScientistMachine LearningTechnical Screen
  • This question evaluates proficiency in SQL-based panel data construction, time-series aggregation and rolling-window metrics together with applied causal inference in Python, including two-way fixed-effects difference-in-differences, clustered standard errors, lead tests, and count-model re-specification; it targets Data Manipulation (SQL/Python) skills relevant for Data Scientist roles. It is commonly asked because it combines practical implementation and conceptual understanding—testing temporal joins, treatment timing, avoidance of lookahead/immortal-time biases and late-adopter issues, interpretation of interaction coefficients and confidence intervals, and the ability to reason about identification and model choice.

    AirbnbData ScientistData Manipulation (SQL/Python)Technical Screen
  • Tests your ability to compute grouped medians in PostgreSQL, properly handling even and odd row counts, duplicate price values, and numeric precision.

    AirbnbData EngineerData Manipulation (SQL/Python)Onsite
  • This question evaluates time-window attribution, visit deduplication, control vs treatment metric computation, aggregation of conversions and revenue, and statistical interval estimation (Wilson CIs), testing practical data manipulation skills with SQL or Python in the Data Manipulation (SQL/Python) domain.

    AirbnbData ScientistData Manipulation (SQL/Python)Technical Screen
  • This problem tests your ability to identify connected components in a 2D grid using graph traversal (BFS/DFS) and aggregate properties associated with those components.

    AirbnbSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates a candidate's ability to perform event-level data manipulation and analytics in Python and SQL, covering sessionization, time-zone–consistent timestamp handling, deduplication, funnel construction, segment-level aggregation, conversion-rate computation, and statistical confidence intervals such as the Wilson CI.

    AirbnbData ScientistData Manipulation (SQL/Python)Technical Screen
  • This question evaluates proficiency in combinatorial optimization and set-coverage with cost minimization, including handling case-insensitive service matching and enumerating minimal solution combinations.

    AirbnbSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates the ability to manipulate interval availability data, reason about contiguous date ranges and split boundaries, and design efficient pairing algorithms with attention to time and space complexity.

    AirbnbSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests greedy algorithm design and stack-based data structure manipulation to satisfy relative ordering constraints within a sequence of digits.

    AirbnbSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Determine the maximum number of candies you can collect given an initial set of boxes, where each box may be locked or unlocked, contain candies, contain keys to other boxes, and contain other boxes.

    AirbnbSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Count representations of a positive integer as one or more consecutive positive integers, including the one-term representation. Derive the arithmetic condition for each sequence length and use a square-root bound rather than testing every possible starting value.

    AirbnbSoftware EngineerCoding & AlgorithmsOnsite
  • Evaluates product-planning metrics and experiment design for a two-sided marketplace booking funnel. Strong answers define a primary booking metric, diagnostic and guardrail metrics, randomization unit, sample size, marketplace spillovers, and launch criteria before development.

    AirbnbData ScientistAnalytics & ExperimentationTechnical Screen
  • Implement an in-memory cloud file store that supports file creation, copying, prefix/suffix search, per-user storage quotas, and atomic file compression/expansion.

    AirbnbSoftware EngineerSoftware Engineering FundamentalsOnline Assessment
  • This question assesses a candidate's ability to articulate their technical workflow in SQL, focusing on data extraction strategies, quality assurance, and how technical analysis translates into business impact.

    AirbnbData ScientistData Manipulation (SQL/Python)HR Screen
  • This question evaluates cross-functional collaboration, leadership, stakeholder alignment, conflict resolution, project ownership, and the ability to articulate technical and product decisions along with measurable impact.

    AirbnbSoftware EngineerBehavioral & LeadershipOnsite
  • This question evaluates leadership and ownership along with system architecture and trade-off analysis, assessing competencies in end-to-end technical design, stakeholder communication, implementation decisions, and metrics-driven impact.

    AirbnbSoftware EngineerBehavioral & LeadershipOnsite
  • This question evaluates a software engineer's communication, self-awareness, motivation, and cultural-fit competencies, along with indicators of leadership, teamwork, and clarity in scope and impact.

    AirbnbSoftware EngineerBehavioral & LeadershipHR Screen
  • This question evaluates competency in ML system design for recommendation and semantic retrieval, covering user and listing representation learning, two-stage retrieval and ranking architectures, training objectives and label design, bias correction from interaction logs, and evaluation and experimentation practices.

    AirbnbMachine Learning EngineerML System DesignOnsite
  • This question evaluates proficiency in machine learning system design, including problem formulation tied to product objectives, labeling strategy, feature engineering, model selection, evaluation metrics, robustness to adversarial labels, fairness considerations, and cold-start handling.

    AirbnbMachine Learning EngineerML System DesignOnsite
  • Design a multi-tiered in-memory cloud storage system supporting staged uploads, capacity limits, prefix search ranking, and conflict-aware backup and restore operations.

    AirbnbSoftware EngineerSoftware Engineering FundamentalsOnline Assessment
  • Tests candidate's ability to design a mission-critical, fault-tolerant job scheduler for payment processing, focusing on lease claiming, idempotency, race condition handling, and reconciliation.

    AirbnbSoftware EngineerSystem DesignOnsite
  • This problem tests your ability to design a distributed, high-scale rental marketplace platform, focusing on concurrency control for bookings, efficient geo-spatial searching, and data consistency.

    AirbnbBackend EngineerSystem DesignOnsite
  • Design an in-memory stateful banking system that supports account creation, transfers, spending leaderboards, scheduled payments with deterministic backlog processing, and account merges.

    AirbnbSoftware EngineerSoftware Engineering FundamentalsOnline Assessment

Airbnb interview experiences

All 25 →
  • Four-Level Parcel Attribute OA, 410/600Airbnb · Software Engineer · Online Assessment · Oct 2026

    The AI-organized question lists I used for the past three months of OAs were basically useless, and I didn't get any repeat questions. It's the same as what people on the forum have been reporting lately: I mass-applied and got the OA instantly. But it's still the 90-minute, four-level format. The problem gives you a batch of Parcels. Each Parcel has its own ParcelId and attributes (key, value),…

  • Auto-Sent CodeSignal OA With a Four-Level Task Management SystemAirbnb · Software Engineer · Online Assessment · Sep 2026

    I mass-applied, and got the OA invite right away. It was probably sent automatically by the system. Standard CodeSignal Industry Coding Assessment. You have to share your screen the entire time and keep your mic on so it picks up audio. The problem I got was a task management system. Level 1: The task management system should support adding, updating and retrieving tasks. Level 2: The task manage…

  • Four-Level Banking System OA, Stuck on Level 3 at 440 PointsAirbnb · Software Engineer · Online Assessment · Sep 2026

    Level 1: Basic banking operations. Needs to support: Level 2: Top Spenders Requirement: rank accounts based on the total value of outgoing transactions Adds something like: Level 3: Scheduled Payments. The system needs to support: schedule payment accept payment The biggest trap here is the timestamp execution order. It's not just "store a record when schedule_payment is called" and that's it. Ev…

  • Four-Round Onsite, Then a Recruiter Who Ghosted MeAirbnb · Data Engineer · Onsite · Sep 2026
    Rejected

    Not many interview reports out there, so let me add mine — hope it helps. My recruiter was unreliable and ghosted me right after the interview. One round of OA. The VO (onsite) was four rounds of analytics interviews. OA: The SQL was pretty easy. The Python question gave a list/dict of city housing prices, and I had to find the median price for each city. VO: SQL: Find the top N, then figure out…

  • Search Ranking and Team MatchingAirbnb · Machine Learning Engineer · Senior+ · Onsite · Sep 2026

    A referred applicant to Airbnb’s personalization and relevance organization reports recruiter contact after two weeks. An initial coding screen asked for book titles to be formatted as a table. Four days later, the applicant advanced to a virtual onsite covering document redaction, project decisions, search ranking without text queries, and retrieval-assisted guidance for customer-support staff.…

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