Tripadvisor leverages Uplers to build their team of Tech Engineers
Industry: Travel Services
Location: The United States Of America
28
Days to Hire
12
Talents hired
About the company
Tripadvisor, Inc. is an American company that operates online travel agencies, comparison shopping websites, and mobile apps with user-generated content. The Tripadvisor.com website drew 90.2 million visits, and the Tripadvisor app was among the top 10 travel apps in 26 countries as of January 2024.
Finding the right tech talents was a major hurdle for us. Despite efforts from our previous vendor, we struggled to meet our specific requirements, which left us frustrated and unsure.
Tarun Garg Senior Engineering Manager
Why did they come to Uplers?
Budget, getting resumes for the job opening was never an issue for Tripadvisor getting the right, vetted and skilled talent for the role delayed their hiring process. This hindered their team expansion vision.
Challenges
Finding the right technical expertise and cultural fitment
Tripadvisor aimed to expand its tech team but struggled to find qualified Software Engineers within its current talent pool.
Finding candidates with the right mix of technical expertise and cultural fit was a significant challenge for them.
They looked at the Indian talent pool but the challenge was high applicant volume but difficulty finding relevant niche skill sets and ensuring cultural fit for new hires to integrate effectively in the team.
Existing hiring vendor issue
Existing hiring partners struggled to deliver the niche skill sets needed for Tripadvisor's product-driven environment. Essentially, finding the right custom-fit candidates to achieve their team objectives became a significant hurdle.
Hiring delays hampered scaling the tech team and threatened Tripadvisor's competitive edge in the travel tech industry.
Solving Tripadvisor’s hiring challenges
Results
Uplers helped Tripadvisor hire skilled engineers in an average hiring cycle of 28 days, speeding up their tech team expansion and simplifying their hiring process.
12
highly skilled engineers hired
Exp. 6.7 Years
Senior Data Engineer
BigQuery
ETL
Pyspark
AWS
Big Data Tech
Snowflake
Tech Score:
5.8 / 10
Previous Company
Exp. 8.5 Years
Senior Data Engineer
BigQuery
ETL
Linux
Python
Big Data Tech.
Snowflake
Tech Score:
7.6 / 10
Previous Company
Exp. 9.5 Years
Data Analytics Manager
Tableau
Jira
BI
Pyspark
Google Analytics
Snowflake
Tech Score:
6.6 / 10
Previous Company
Our initial audit
We conducted a thorough analysis of their specific talent requirements and the shortcomings in their current hiring process. We identified gaps in candidate sourcing, screening, and cultural fit assessment that were crucial to enhancing the efficiency and success rate of any product company’s environment.
Extended hiring success
Following the initial successful hiring phase, Tripadvisor continued to leverage our services to onboard a total of 12 engineers.
Our process
We attracted a diverse pool of over 25,186 applications, out of which we presented 12 carefully curated profiles for each role to Tripadvisor.
Throughout the process, we maintained open communication with Tripadvisor, incorporating their feedback and inviting them to collaborate in the hiring journey to refine our candidate search.
Candidates underwent rigorous AI screening and assessment to ensure they not only possessed the technical expertise required (Java, Spring Boot, AWS, ReactJS/VueJS, BigQuery, Big Data Technology, ETL, NoSql, Pyspark, Snowflake, Linux, Problem Solving Attitude, Complex Analysis, Critical Thinking, Python, SQL etc.) but also aligned culturally with Tripadvisor.
Within a swift 28 working days from the initial HR request, we successfully completed the hiring process of 2 roles, ensuring minimal disruption to Tripadvisor's operations.
About the talents
With an average hiring cycle of just 28 days, Uplers helped Tripadvisor achieve significantly faster hiring of skilled tech talents. These engineers brought fresh perspectives, skills, and experiences to Tripadvisor, energizing their tech team.
31
days
Sr. Analyst
35
days
Sr. Data Engineer
10
days
Manager Analytics
23
days
Sr. Software Engineer
34
days
Sr. Software Engineer
9
days
SSE Cloud Data
31
days
Data Engineer
35
days
Sr. Data Engineer
10
days
Manager App Analytics
23
days
Sr. Analyst Marketing
34
days
SE II (TREX)
9
days
SE II
(Python/Fast API - ML Platform)
“We needed professionals who not only had the technical efficiency but could also seamlessly integrate into our team. Uplers entered the scene, offering a data-driven and targeted approach.”
Tarun Garg Senior Engineering Manager TripAdvisor
Tripadvisor clearly communicated their requirements, and our team worked tirelessly to identify the perfect candidates. The open communication and trust throughout the process were key factors in achieving these impressive results
Reshma Babnani Associate Director - Client Relations Uplers
Our AI tool for screening and assessment played a crucial role. It efficiently matched Tripadvisor's specific needs with the most suitable candidates, saving them valuable time and resources.
Vishnu Agikumar Account Manager Uplers
What’s next?
For the Client
The hired talents are contributing significantly to Tripadvisor’s projects, enhancing their reputation and delivering exceptional value to their end customers.
For the Talent
Uplers will continue supporting Tripadvisor's newly hired talents through professional development opportunities, ensuring they thrive in their roles.
Our future plans for Tripadvisor
We will assist them with additional hiring needs and reinforcing their tech team's capabilities to drive future growth and innovation.
We anticipate continued collaboration with Tripadvisor
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