Tripadvisor 公司情报百科
About Tripadvisor Tripadvisor, the world's largest travel guidance platform*, helps hundreds of millions of people each month** become better travelers, from planning to booking to taking a trip. Travelers across the globe use the Tripadvisor site and app to discover where to stay, what to do and where to eat based on guidance from those who have been there before. With more than 884 million reviews and opinions of 7.9 million businesses, travelers turn to Tripadvisor to find deals on accommodations, book experiences, reserve tables at delicious restaurants and discover great places nearby. As a travel guidance company available in 49 markets and 28 languages, Tripadvisor makes planning easy no matter the trip type. The subsidiaries of Tripadvisor, Inc. (NASDAQ: TRIP), own and operate a portfolio of online travel brands and businesses, operating under various websites and apps, including the following websites: www.bokun.io, www.cruisecritic.com, www.flipkey.com, www.thefork.com (including www.lafourchette.com, www.eltenedor.com, www.bookatable.co.uk, and www.delinski.com), www.helloreco.com, www.holidaylettings.co.uk, www.housetrip.com, www.jetsetter.com, www.niumba.com, www.seatguru.com, www.singleplatform.com, www.vacationhomerentals.com, and www.viator.com. * Source: SimilarWeb, unique users de-duplicated monthly, December 2020
员工人数: 1,001-5,000
官网: http://www.tripadvisor.com
AI 情报分析
Tripadvisor is the world's largest travel guidance platform, helping hundreds of millions of monthly users plan and book trips. Listed on NASDAQ (TRIP), it operates a portfolio of travel brands including Viator, TheFork, and Cruise Critic. With 884+ million reviews of 7.9 million businesses across 49 markets and 28 languages, Tripadvisor is a dominant force in travel tech. The company generates revenue through advertising, booking commissions, and its experiences marketplace.
行业: Travel Technology / Online Travel
技术栈: Java, Python, React, TypeScript, AWS, Kubernetes, Kafka, Elasticsearch, PostgreSQL, Machine Learning, GraphQL, Terraform
招聘趋势: Post-pandemic recovery has stabilized hiring. Focus on engineering, data science, and product roles. AI and personalization investments driving new hiring.
面试风格: Standard tech company process with phone screen, coding rounds (LeetCode-style), system design, and behavioural interviews. 4-5 rounds typical for engineering.
文化亮点: Travel-passionate team culture, Data-driven decision making, Global and diverse workforce, Innovation in AI and personalization, Employee travel benefits
面试准备
0 个面试流程, 0 条面试经验, 0 道面试题
招聘职位
Tripadvisor 当前有 3 个招聘职位
