Add office photos
Employer?
Claim Account for FREE
Airbnb
3.7
based on 243 Reviews
Video summary
Company Overview
Company Locations
Working at Airbnb
Company Summary
Online accommodation booking & vacation rentals portal
Overall Rating
3.7/5
based on 243 reviews
On-Par with
industry average
Highly rated for
Salary, Work-life balance, Company culture
Critically rated for
Promotions, Job security, Skill development
Work Policy
Permanent work from home
61% employees reported
Monday to Friday
63% employees reported
Flexible timing
66% employees reported
No travel
83% employees reported
View detailed work policy
Top Employees Benefits
Free meal
23 employees reported
Health insurance
22 employees reported
Cafeteria
21 employees reported
Job/Soft skill training
18 employees reported
View all benefits
About Airbnb
Founded in2008 (17 yrs old)
India Employee Count1k-5k
Global Employee Count5k-10k
HeadquartersSan Francisco,California, United States
Websiteairbnb.com
Primary Industry
Other Industries
Are you managing Airbnb's employer brand? To edit company information,
claim this page for free
View in video summary
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed over 1.5 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
Mission: A world where we can belong anywhere.
Vision: "Belong Anywhere" the message that could unify the vision of the company with every aspect of its product, marketing campaigns, host & guest community and employees relationship.
Managing your company's employer brand?
Claim this Company Page for FREE
Airbnb Ratings
based on 243 reviews
Overall Rating
3.7/5
How AmbitionBox ratings work?
5
129
4
38
3
29
2
18
1
29
Category Ratings
4.1
Salary
4.0
Work-life balance
3.8
Company culture
3.4
Work satisfaction
3.3
Skill development
3.1
Job security
3.0
Promotions
Airbnb is rated 3.7 out of 5 stars on AmbitionBox, based on 243 company reviews.This rating reflects an average employee experience, indicating moderate satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
Read more
Gender Based Ratings at Airbnb
based on 231 reviews
3.4
Rated by 87 Women
Rated 3.8 for Work-life balance and 3.8 for Salary
3.9
Rated by 144 Men
Rated 4.2 for Salary and 4.1 for Work-life balance
Work Policy at Airbnb
based on 40 reviews in last 6 months
Permanent work from home
61%
Hybrid
22%
Work from office
17%
Airbnb Reviews
Top mentions in Airbnb Reviews
+ 5 more
Compare Airbnb with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 3.7/5 based on 243 reviews | 4.0/5 based on 25.9k reviews | 3.9/5 based on 5.1k reviews | 3.6/5 based on 4.9k reviews |
Highly Rated for | Salary Work-life balance Company culture | Company culture Salary Work-life balance | Salary Skill development Work-life balance | No highly rated category |
Critically Rated for | Promotions Job security Skill development | No critically rated category | Job security | Promotions Work satisfaction |
Primary Work Policy | Permanent work from home 61% employees reported | Permanent work from home 45% employees reported | Work from office 46% employees reported | Work from office 74% employees reported |
Rating by Women Employees | 3.4 Average rated by 87 women | 4.1 Good rated by 8.3k women | 3.5 Good rated by 259 women | 3.6 Good rated by 1.1k women |
Rating by Men Employees | 3.9 Good rated by 144 men | 4.0 Good rated by 15.3k men | 4.0 Good rated by 4.4k men | 3.6 Good rated by 3.6k men |
Job security | 3.1 Average | 3.7 Good | 3.0 Average | 3.6 Good |
View more
Airbnb Salaries
Airbnb salaries have received with an average score of 4.1 out of 5 by 243 employees.
Senior Analyst
(27 salaries)
Unlock
₹4.2 L/yr - ₹15.9 L/yr
Business Analyst
(27 salaries)
Unlock
₹9 L/yr - ₹24 L/yr
Claims Specialist
(25 salaries)
Unlock
₹5.1 L/yr - ₹10 L/yr
Resolution Specialist
(21 salaries)
Unlock
₹4.3 L/yr - ₹7 L/yr
Team Coordinator
(20 salaries)
Unlock
₹6 L/yr - ₹20 L/yr
Supervisor
(19 salaries)
Unlock
₹8 L/yr - ₹23 L/yr
Customer experience Specialist
(19 salaries)
Unlock
₹3.5 L/yr - ₹6 L/yr
Analyst
(17 salaries)
Unlock
₹4 L/yr - ₹12 L/yr
Operations Specialist
(17 salaries)
Unlock
₹2.8 L/yr - ₹8.7 L/yr
Case Manager
(15 salaries)
Unlock
₹4.1 L/yr - ₹6.7 L/yr
Airbnb Interview Questions
Interview questions by designation
Top Airbnb interview questions and answers
Get interview-ready with top interview questions
Airbnb Jobs
Current Openings
Airbnb News
View all
AI Team Scaling Models in Organizations
- The article explores real-world examples of different scaling models for AI teams in organizations across various industries and sizes.
- JPMorgan Chase has a Centralized Machine Learning Center of Excellence (CoE) to collaborate with business units and deploy AI solutions across the enterprise.
- Walmart established a Centralized AI CoE with strong executive support to drive AI adoption and alignment with strategic objectives.
- Siemens employs a Central AI Lab/CoE to drive industrial AI transformation by working with various business units and providing training programs.
- Booking.com uses Embedded Data Science Teams to focus on specific product areas and collaborate closely with product teams.
- Smaller tech firms and startups often utilize a Decentralized model by embedding data scientists into different teams to accelerate AI feature development.
- Airbnb transitioned to a Hybrid model with a mix of centralized and embedded data science teams aligned with product and functional areas.
- Meta (Facebook) follows a Federated (Hybrid) Model, where individual product teams own their data/AI projects while central teams provide common infrastructure and tools.
- Uber developed an AI-as-a-Platform approach with a centralized ML platform team offering ML-as-a-service to enable all product teams to deploy ML models at scale.
- Spotify employs a hybrid ML Platform Guild model where a central ML platform team provides services, and product squads use these services to integrate AI features quickly.
Scrum | 2 Apr, 2025
Airbnb Uses LLMs to Pull Off an 18-Month Enzyme to RTL Migration in Just 6 Weeks
- Airbnb successfully migrated around 3,500 React component test files from Enzyme to React Testing Library (RTL) in just 6 weeks using LLMs and robust automation.
- The company aimed to modernize React testing practices and move away from Enzyme's deep access to component internals.
- Airbnb's LLM-driven migration involved breaking down the process into automated validation and refactoring steps, leading to the migration of 75% of target files in four hours.
- The company experimented with prompt engineering and a brute-force retry loop to improve migration success, resulting in 97% completion after four days.
- Google also saw success with LLM-driven migrations, achieving a 50% improvement in speed in code transformations like converting unique ID types.
- An AWS study on human-AI partnership in code migrations found that developers view AI as a collaborative teammate but prefer control over the process.
- Developers desire to guide and review the AI based on their expertise, serving as reviewers to ensure accurate changes during the migration process.
- However, there is still a need for human oversight, review, and verification in LLM-driven code migrations to address potential errors and ensure accurate outcomes.
- Airbnb's success with LLMs in code migration showcases the potential for AI-driven solutions in accelerating and improving the efficiency of complex software migration tasks.
- Google and AWS have also demonstrated successful implementations of LLMs in code migrations, highlighting the benefits of combining AI with human expertise.
- While AI-driven migrations offer significant speed and efficiency advantages, developers emphasize the importance of maintaining control and verification throughout the process.
Analyticsindiamag | 27 Mar, 2025
Accelerating Large-Scale Test Migration with LLMs
- Airbnb recently completed a large-scale, LLM-driven code migration of nearly 3.5K React component test files from Enzyme to React Testing Library in just 6 weeks, instead of 1.5 years estimated for manual migration.
- The shift from Enzyme to RTL was necessitated by Enzyme's outdated design and misalignment with modern React testing practices.
- Airbnb's automated migration approach involved using large language models (LLMs) to refactor and validate test files in a step-by-step process.
- Retry loops and dynamic prompting were employed to improve migration success rates, with files reattempted multiple times until validation errors were resolved.
- Rich contextual prompts, including source code, related tests, and project-specific examples, enhanced the LLM's understanding of complex test files.
- Systematic improvement strategies, like stamping files with migration status and targeted re-runs based on failure points, helped address remaining issues in the migration.
- The automation pipeline successfully migrated 75% of target files in 4 hours, with further refinement pushing the completion rate to 97% over four days.
- For the remaining 3% of files, manual intervention based on automation outputs facilitated swift completion of the migration.
- The use of LLMs for large-scale code transformation proved more efficient and cost-effective compared to manual migration estimates.
- Airbnb plans to further leverage LLM-powered automation for code transformations and enhance developer productivity.
Medium | 27 Mar, 2025
19 founders and VCs working with Elon Musk’s DOGE
- The Department of Government Efficiency, known as DOGE, has seen an influx of Silicon Valley entrepreneurs and investors supporting its mission to reduce government spending.
- TechCrunch compiled a list of founders and VCs involved with DOGE, including previously unreported member Mike Gonzalez, the former founder of HR startup TraceHQ.
- DOGE members include figures like Nate Cavanaugh, who dealt with auditing U.S. government agencies, and Stephen Ehikian, who oversees GSA operations.
- Justin Fulcher was appointed to reform the Veterans Administration, while Joe Gebbia, co-founder of Airbnb, volunteers at the Office of Personnel Management.
- Venture capitalists like Marc Andreessen and Antonio Gracias support DOGE initiatives, with Gracias focusing on efforts at the Social Security Administration.
- Michael Kratsios, former CTO of the U.S., was key in staffing DOGE, and Scott Kupor, from Andreessen Horowitz, aids the mission to reduce the federal workforce.
- Other notable individuals involved with DOGE include Shaun Maguire of Sequoia Capital and Amanda Scales, now chief of staff at the Office of Personnel Management.
- These founders and VCs contribute their expertise to various government departments and agencies under DOGE's umbrella.
- The influence of Silicon Valley on the federal government is growing, with prominent figures aligning with DOGE to shape policy and drive efficiency.
- Overall, the collaboration between tech luminaries and government entities is reshaping how innovation is applied in the public sector.
- DOGE's initiatives reflect a shift where technology disruptors are now actively involved in policymaking at the highest levels of government.
TechCrunch | 27 Mar, 2025
Innovative Companies Using Ruby: How They Leverage Its Power in 2025
- In 2025, Ruby on Rails remains a favorite tool for businesses, offering speed and cost-effectiveness for startups and established companies.
- Major companies like GitHub, Shopify, and Airbnb showcase the scalability and reliability of Ruby on Rails.
- The vibrant Ruby community provides extensive support and resources for developers using the framework.
- Ruby on Rails is well-suited for rapid prototyping, making it ideal for Minimum Viable Product (MVP) development.
- Innovative applications in e-commerce and AI integration demonstrate Ruby's versatility in 2025.
- GitHub utilizes Ruby on Rails for seamless code sharing and collaboration, leveraging the framework's scalability and reliability.
- Shopify, a prominent e-commerce platform, relies on Ruby on Rails to handle millions of transactions securely and efficiently.
- Airbnb's growth was expedited with Ruby on Rails due to its ease of use and ability to facilitate rapid feature development.
- Ruby on Rails emphasizes developer productivity with conventions that streamline coding and a plethora of resources like gems for added functionality.
- The framework's rapid prototyping capabilities enable startups to swiftly build MVPs and iterate on features based on user feedback.
- Ensuring job security, legacy applications built with Ruby on Rails require ongoing maintenance, highlighting the framework's enduring relevance.
Dev | 26 Mar, 2025
Looking For Your Next 100x Crypto Moonshot? What Crypto Are Smart Bitcoin, XRP & BNB Holders Acquiring?
- Investors are searching for the next 100x moonshot crypto as Bitcoin, XRP, and BNB reach new highs.
- Remittix (RTX) is gaining traction and generating buzz as a potential million-making cryptocurrency.
- Bitcoin (BTC), XRP, and BNB, with their large market caps, may not offer the same explosive growth as small-cap tokens.
- Remittix aims to provide fee-free and instant crypto-to-fiat exchange, focusing on the common user for global cryptocurrency adoption.
TechBullion | 25 Mar, 2025
The Copycat Syndrome: When Localizing a Global Idea Goes Wrong
- Many copycats fail to gain traction in new markets because they don't adapt properly.
- Copycats assume Indonesian users behave the same way as Western users, leading to failure of products like AirBnB in the Indonesian market.
- Local adaptation, understanding market dynamics, and quick execution are key to success in Indonesia.
- To succeed, companies should conduct market research, analyze competitors, adapt pricing, partner with local services, hire local experts, and build trust.
Medium | 24 Mar, 2025
Beginners Guide to Continuous User Research w/ Examples
- Continuous user research involves ongoing listening, observing, and improving based on real user behavior, leading to consistently refined products.
- Examples include Airbnb using in-app surveys for pricing transparency, Spotify analyzing listening patterns, and Figma evolving features based on user feedback.
- Continuous research provides real-time insights for decision-making, unlike traditional UX research done at specific project phases.
- Continuous research helps catch usability issues early, keeps up with changing user needs, and builds products users love by integrating data-backed decisions.
- Steps for continuous research include setting up feedback channels, conducting regular user testing, analyzing behavior data, involving the whole team, and iterating for improvements.
- Key research methods in continuous research include usability testing, A/B testing, ongoing user interviews, feedback forms, diary studies, and heatmaps with session recordings.
- Transitioning to continuous research requires buy-in from stakeholders, promoting a user-centric culture, using real-time data collection tools, and understanding the differences between continuous research and discovery.
- Continuous research ensures ongoing user insights to improve UX, validates ideas, and shapes product decisions based on real user needs, unlike continuous discovery focusing on iterating before development.
- Continuous UX Research: LIVE, Just Enough Research by Erika Hall, and UX Research Training Courses by Nielsen Norman Group offer resources for continuous research practices.
- UXtweak provides tools for usability testing, A/B testing, session recording, and real-time feedback for fresh, actionable insights to make data-driven decisions.
UX Tweak | 24 Mar, 2025
Will.i.am says he invested in Tesla before Elon Musk became CEO — but missed out on Airbnb
- Musician will.i.am revealed that he invested in Tesla before Elon Musk became CEO in 2008.
- He regrets turning down the chance to be an early backer of Airbnb due to his luxury hospitality standards.
- Tesla's stock has significantly increased since its IPO in 2010, with a record high of about $480 in December 2020.
- will.i.am previously invested in Twitter but sold his shares when co-founder Jack Dorsey left.
Insider | 23 Mar, 2025
An absentee landlord and his former tenant are fighting over who should pay a $180,000 Airbnb fine
- Las Vegas homeowner Xin Tao was fined $180,000 for illegal Airbnb operations after his tenant, Ryan Murphy, allegedly rented the property without permission.
- Tao is now suing Murphy and Airbnb for the fine plus damages, with Murphy denying the claims.
- The dispute highlights the crackdown on vacation rentals in cities like Las Vegas, leading to hefty fines for homeowners.
- Tao, an out-of-state homeowner, accused Murphy of running an Airbnb arbitrage business without his knowledge.
- Cities like Las Vegas have strict rules for short-term rentals, requiring permits and homeowner presence during guest stays.
- Murphy claims he informed Tao about his Airbnb business, involving rentals in Nevada and listings on Airbnb.
- The legal battle showcases the challenges faced by homeowners and tenants in complying with evolving rental regulations.
- Neighbours' complaints about activity at Tao's property led to enforcement action and the significant fine.
- Tao seeks reimbursement from Murphy and Airbnb, alleging inadequate oversight and enabling of the illegal rental activity.
- Airbnb has chosen not to comment on the ongoing litigation between Tao, Murphy, and the rental platform.
Insider | 22 Mar, 2025
Powered by
Airbnb Offices
Compare Airbnb with
Facebook
4.3
Google
4.4
Uber
4.2
Swiggy
3.8
Lenskart
3.2
Info Edge
3.9
Ola Cabs
3.4
CarDekho Group
3.7
Rebel Foods
3.7
Fareportal
3.4
OLX
3.8
Videocon d2h
3.9
ByteDance
4.0
Groupon
3.1
Expedia Group
3.8
Metric Stream Infotech
3.1
LinkedIn
4.3
Avis
3.9
Yahoo
4.6
BCForward
3.6
Edit your company information by claiming this page
Contribute & help others!
You can choose to be anonymous
Companies Similar to Airbnb
Indiamart Intermesh
Internet, Marketing & Advertising
3.6
• 4.9k reviews
Swiggy
Internet, Logistics
3.8
• 4.2k reviews
Ola Cabs
Internet, Urban Transport
3.4
• 2k reviews
CarDekho Group
Internet
3.7
• 876 reviews
Uber
Internet, Urban Transport
4.2
• 854 reviews
Rebel Foods
FMCG, Internet
3.7
• 790 reviews
Fareportal
Internet, Travel & Tourism / Hospitality
3.4
• 701 reviews
OLX
Consumer goods, Internet
3.8
• 662 reviews
Airbnb FAQs
When was Airbnb founded?
Airbnb was founded in 2008. The company has been operating for 17 years primarily in the Internet sector.
Where is the Airbnb headquarters located?
Airbnb is headquartered in San Francisco,California. It operates in 2 cities such as New Delhi, Mumbai. To explore all the office locations, visit Airbnb locations.
How many employees does Airbnb have in India?
Airbnb currently has more than 1,000+ employees in India. Customer Success, Service & Operations department appears to have the highest employee count in Airbnb based on the number of reviews submitted on AmbitionBox.
Does Airbnb have good work-life balance?
Airbnb has a work-life balance rating of 4.0 out of 5 based on 200+ employee reviews on AmbitionBox. 69% employees rated Airbnb 4 or above on work-life balance. This rating reflects the company's efforts to help employees maintain a healthy balance between their personal and professional lives. We encourage you to read Airbnb work-life balance reviews for more details
Is Airbnb good for career growth?
Career growth at Airbnb is rated as moderate, with a promotions and appraisal rating of 3.0. 31% employees rated Airbnb 3 or below, while 69% employees rated it 4 or above on promotions/appraisal. This rating suggests that while some employees view growth opportunities favorably, there is scope for improvement based on employee feedback. We recommend reading Airbnb promotions/appraisals reviews for more detailed insights.
What are the pros and cons of working in Airbnb?
Working at Airbnb comes with several advantages and disadvantages. It is highly rated for salary & benefits, work life balance and company culture. However, it is poorly rated for promotions / appraisal, job security and skill development, based on 200+ employee reviews on AmbitionBox.
Stay ahead in your career. Get AmbitionBox app
Helping over 1 Crore job seekers every month in choosing their right fit company
75 Lakh+
Reviews
5 Lakh+
Interviews
4 Crore+
Salaries
1 Cr+
Users/Month
Contribute to help millions
Get AmbitionBox app
Made with ❤️ in India. Trademarks belong to their respective owners. All rights reserved © 2024 Info Edge (India) Ltd.
Follow us
