Airbnb Interview Questions — Page 18

Airbnb·Software Engineer·Technical Phone Screen

Jul 2026

Airbnb SWE interview, technical phone screen, one coding question the whole time. Pretty standard BFS setup but they pushed on complexity and a follow-up variant that I hadn't fully thought through.

Given a grid maze with walls, a start position, and an exit, find the minimum number of moves to reach the exit. Return -1 if unreachable. Also discuss time/space complexity and how you'd adapt the solution if the start position were passed in separately instead of embedded in the grid.

“I went straight to BFS which was the right call, but I fumbled a bit explaining why BFS over DFS.”

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Airbnb·Machine Learning Engineer·Onsite - System Design / Architecture

Jul 2026

ML system design round at Airbnb for an MLE role. The whole thing was a single deep-dive on building a listing LTV model, and it went way longer and wider than I expected. There's a lot of surface area here.

Design an ML system to predict the lifetime value of an Airbnb listing. Walk through your end-to-end approach.
How would you define LTV for this problem, and what clarifying questions would you ask before modeling anything?
What data sources and features would you use, and how would you engineer them for this model?
Many listings are still active and haven't reached the end of their lifetime. How do you handle censored data in your training set?
Would you consider a two-stage modeling approach here? What would that look like?
How do you handle the cold-start problem for brand new listings with no booking history?
What offline and online metrics would you use to evaluate this system, and how do you connect them to business outcomes?
How would you deploy this model and how often would you retrain or refresh it?

“This is one of those questions where the scope keeps expanding the more you talk.”

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Airbnb·Software Engineer·Technical Phone Screen

Jul 2026

Airbnb software engineer interview with a meaty tree design problem that went deeper than I expected. The mutation support is what tripped me up.

Design a data structure for a mutable rooted tree where leaves store integers and internal nodes store the sum of their children. Support efficient value queries by node ID, plus two mutations: converting any node into a leaf with a given value (dropping its subtree), and converting a leaf into an internal node by attaching a provided subtree. Queries must stay correct after any sequence of mutations. Walk through your algorithms, complexity, how you maintain parent/child links and subtree sums, and edge cases like overflow, very deep trees, and empty children.

“I started with the preprocessing angle and felt pretty good about that part.”

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Airbnb·Software Engineer·Onsite - System Design / Architecture

Jul 2026

Airbnb system design round for a software engineer role. The question was a full wallet system build, the kind where you think you know where it's going and then fifteen minutes in you're drowning in edge cases about FX rounding and idempotency. Brutal but fair.

Design and implement an Airbnb-style wallet system that supports user accounts, deposits, booking holds and captures, cancellation releases, partial and full refunds, host payouts after fees and taxes, multi-currency balances with FX conversion, idempotent operations, concurrency safety, and an append-only auditable ledger. Define your schema, APIs, core classes, and analyze complexity.

“This is basically a full payments platform crammed into one question.”

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Airbnb·Software Engineer·Onsite - Behavioral / Leadership

Jul 2026

Airbnb software engineering interview with a meaty end-to-end product question that felt more like a PM interview than an engineering one. Took me a bit off guard but it was actually kind of interesting to work through.

Walk me through the most impactful consumer-facing project you led from start to finish, covering the user problem, your hypothesis, your role, constraints, cross-functional partners, success metrics and baselines, key trade-offs, launch strategy, measurable outcomes with numbers, and what you'd do differently.

“This is a beast of a question and I underestimated how much ground it actually covers.”

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Airbnb·Software Engineer·Onsite - System Design / Architecture

Jul 2026

System design round at Airbnb for a software engineer role. The prompt was a WhatsApp-style group chat system, which sounds approachable until you start pulling on threads like fan-out for 10k-member groups and cross-device sync. Left feeling like I covered the surface reasonably but ran out of time on the parts that actually mattered.

Design a WhatsApp-like group chat system supporting 1:1 and group conversations, message history sync across devices, and groups of up to 10,000 members.
How would you handle message ordering guarantees in a distributed chat system?
What are the tradeoffs of adding read receipts and typing indicators to a chat system at scale?
How would you scale and monitor this system in production?

“I started with the API layer and data model, which felt safe, but the fan-out problem for large groups is where things got messy.”

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Airbnb·Software Engineer·Onsite - System Design / Architecture

Jul 2026

Airbnb system design round for a software engineer role. The whole thing was basically one long deep-dive on frontend network efficiency, which I was not expecting to be so broad.

How would you reduce redundant frontend network requests for availability and pricing data? Walk through batching endpoints, GraphQL, request coalescing and deduplication, HTTP/2 multiplexing, client-side caching with cache keys and TTLs, and pagination or windowing. Include an example API schema or query, discuss the trade-offs around latency, payload size, cacheability, and observability, and describe how you'd monitor and safely roll out the change.

“This question was way bigger than I anticipated.”

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Airbnb·Software Engineer·Onsite - Behavioral / Leadership

Jul 2026

Behavioral round for a software engineering role at Airbnb, heavy on values and cross-team collaboration stories. Three main themes: delivery failures with other teams, communication across time zones and cultures, and the shift from writing code to actually owning something end-to-end.

Tell me about a time you worked with another team and an internal deadline slipped. What was the impact, and how did you figure out what went wrong?
How did you split responsibilities between teams when things weren't going as planned? Did you have a fallback to keep things moving?
Give me an example of collaborating with people across different teams, time zones, or cultural backgrounds. What problems came up and how did you handle them?
How did you make sure your technical design actually matched what got built and rolled out?
Why Airbnb, and why this specific role?
Describe a travel or cultural experience that changed how you see things.
Tell me about a time you took a real risk. How did you think through the tradeoffs, and what would you do differently?
What was the hardest part of moving from just writing code to actually owning a project end-to-end, and how did you get through it?

“This one needs a real story with actual consequences, not just 'we were a bit late.' I'd structure it as situation, then what broke, then how I traced it back to the root cause.”

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Airbnb·Software Engineer·Onsite - Behavioral / Leadership

Jul 2026

Airbnb behavioral round focused on cross-functional collaboration. One meaty question that basically ate the whole session.

Tell me about a project you're proud of that involved working across multiple teams or functions. Walk me through the problem, your role, how you handled stakeholder friction, the decisions you made, the outcome, and what you'd change.

“This is a lot of ground to cover in one answer and I underestimated that going in.”

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Airbnb·Software Engineer·Onsite - Behavioral / Leadership

Jul 2026

Airbnb software engineering interview that went deep on a single project. Not a broad behavioral round, more like a forensic audit of one thing you built.

Walk me through one significant project in detail: the full timeline with milestones, your specific role, how the team was structured, the technical decisions you made and why, what risks you faced and how you handled them, and what the measurable outcomes were. Be ready to go into design docs, pull requests, and trade-offs you considered but ultimately rejected.

“This is the kind of question that sounds manageable until they start drilling.”

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