Airbnb Senior Software Engineer Interview Questions
30 real practice questions for the senior-level Senior Software Engineer role at Airbnb (Travel / Technology), spanning behavioral, technical, system design, leadership, and problem solving. Lead technical projects and mentor junior engineers. The first 3 questions below include what Airbnb interviewers actually listen for, plus likely follow-ups.
- Questions
- 30
- Categories
- Behavioral (6), Technical (6), System Design (6), Leadership (6), Problem Solving (6)
- Difficulty mix
- 10 easy · 10 medium · 10 hard
- Avg. answer time
- ~4 min
Behavioral Questions (6)
1.Tell me about a time you pushed for a user experience improvement that required significantly more engineering effort than the quick fix. How did you make your case?
easy~3 minWhat interviewers look for
- Demonstrates commitment to craft and user experience over quick shortcuts, reflecting Airbnb's design-led engineering culture
- Shows ability to articulate UX impact in terms of business metrics or user outcomes
- Collaborated effectively with designers and PMs to champion the better solution
Likely follow-ups
- How did you measure whether the extra effort was worth it?
- What pushback did you get from your team or leadership about the timeline impact?
Company context
Airbnb's engineering culture is uniquely design-driven, with co-founder Brian Chesky setting the standard for craft over speed. Engineers are expected to think like designers and champion user experience even when it requires more complex technical solutions.
2.Tell me about a time you built something that you later realized excluded certain users. How did you discover this and what did you do about it?
easy~3 minWhat interviewers look for
- Shows awareness that initial solutions often have blind spots and demonstrates growth mindset about inclusive design
- Took ownership and proactive steps to fix exclusionary aspects rather than making excuses
- Implemented processes to catch similar issues earlier in future projects
Likely follow-ups
- How do you now test for inclusivity before shipping features?
- What processes have you put in place to avoid similar blind spots?
Company context
Airbnb's Belong Anywhere value requires constant vigilance about exclusionary design. The company expects engineers to learn from mistakes and build more inclusive systems, recognizing that initial solutions often have blind spots.
3.Describe a feature or system you built that had to work well for users from very different cultural backgrounds or technical capabilities. What specific considerations did you make?
medium~4 minWhat interviewers look for
- Shows understanding that one-size-fits-all solutions often exclude users, demonstrating Airbnb's Belong Anywhere value
- Provides specific examples of accessibility, localization, or inclusive design decisions in their technical implementation
- Collaborated with diverse stakeholders or gathered feedback from underrepresented user groups
Likely follow-ups
- How did you test that your solution actually worked for these different user groups?
- What assumptions did you initially make that turned out to be wrong?
Company context
Airbnb operates in 220+ countries with users spanning vastly different cultural, linguistic, and technical contexts. The company's Belong Anywhere value requires engineers to build systems that work inclusively across this diversity.
4.Tell me about the most challenging project you've delivered while working across multiple time zones. What made it difficult and how did you adapt your approach?
medium~4 min5.Walk me through a time when hosts and guests wanted completely opposite things from a feature you were building. How did you resolve that tension?
hard~5 min6.Describe the last time you saw a user struggling with something you built and decided to completely rethink your technical approach. What was broken and how did you fix it?
hard~5 min
Technical Questions (6)
7.You're designing a feature that lets hosts block certain dates on their calendar. The product manager wants it to be instant, but you know our search index takes 5 minutes to update. How do you handle this?
easy~3 min8.Code a function that finds the optimal meeting location for an Airbnb team distributed across multiple cities. Given a list of team members with their coordinates, find the city that minimizes total travel time for everyone.
easy~4 min9.Our pricing recommendation service processes millions of listings daily through a Spark job that takes 8 hours to complete. Product wants real-time price suggestions. What's your approach?
medium~4 min10.You need to build a service that determines if a listing photo violates our content policy. It needs to handle 50,000 photo uploads per hour with sub-second response times. Walk me through your design.
medium~5 min11.Design a system to handle Airbnb's checkout flow during peak booking periods like New Year's Eve, when we see 10x normal traffic and payment failures spike due to external processor issues.
hard~5 min12.You're implementing a feature flag system for Airbnb's mobile apps across 220 countries. Some experiments need real-time updates, others need offline capability, and you need to handle different legal requirements per country. How do you architect this?
hard~5 min
System Design Questions (6)
13.Design a search ranking system for Airbnb Stays that can handle 1 million searches per minute while personalizing results for each user's location, dates, and travel preferences.
easy~3 min14.You need to design a real-time messaging system for Airbnb that handles communication between hosts and guests across 220 countries, with offline message delivery and translation capabilities.
easy~4 min15.Design an availability calendar system that syncs booking data across Airbnb, external booking platforms, and property management systems while preventing double-bookings in real-time.
medium~5 min16.Build a dynamic pricing optimization service for Airbnb Experiences that adjusts prices based on demand forecasting, local events, weather, and competitor analysis across different activity categories.
medium~5 min17.Design a trust score system that evaluates new Airbnb hosts and listings in real-time using identity verification, property verification, and behavioral signals to determine initial search ranking and booking eligibility.
hard~5 min18.You're tasked with building a distributed event streaming system that captures every user interaction across Airbnb's platform and makes it available to 200+ internal services for real-time personalization, fraud detection, and analytics.
hard~5 min
Leadership Questions (6)
19.Tell me about a time you had to convince a group of engineers to adopt a solution that prioritized user experience over technical simplicity. How did you build consensus?
easy~3 min20.Describe a time you had to quickly rally people around an urgent technical decision during a crisis or outage. What was your approach?
easy~3 min21.Describe a time you identified a systemic issue that was affecting multiple teams but no one owned fixing it. How did you drive a solution?
medium~4 min22.Tell me about a time you had to lead a technical initiative when team members were scattered across different time zones and you couldn't rely on synchronous communication.
medium~3 min23.Walk me through a time when you disagreed with a product or design decision that would impact millions of users. How did you navigate that disagreement?
hard~5 min24.Tell me about a time you mentored someone from a different technical background or experience level than yours. What challenges did you face and how did you adapt your approach?
hard~5 min
Problem Solving Questions (6)
25.Estimate how many search queries Airbnb processes during a typical peak travel week like Christmas. Walk me through your assumptions and calculation.
easy~3 min26.We're seeing hosts abandon the listing creation flow at a 40% rate halfway through. What data would you need to diagnose this, and how would you prioritize your investigation?
easy~4 min27.Airbnb's mobile app crashes are up 15% month-over-month, but only in markets where we launched Experiences recently. How would you investigate and what's your hypothesis?
medium~5 min28.You need to estimate the revenue impact if Airbnb reduced search results from 20 listings per page to 15. What factors would you consider and how would you model this?
medium~5 min29.Airbnb wants to expand to a country where internet connectivity is unreliable and many hosts use basic smartphones. Estimate the engineering effort needed to make the host app work in this environment.
hard~5 min30.Our fraud detection system flags 3% of legitimate bookings as suspicious, costing us $50M annually in lost revenue. The ML team says improving accuracy requires 6 months. What's your approach to reduce this cost immediately?
hard~5 min