ContentSquare
10 Data Engineers
30 Full Stack Engineers
High qualified and technically astute candidates selected for presentation.
Detailed in-depth calls, covering all aspects of the technical requirements and career OKR's
Scheduling and Co-Ordinating interviews across the world with panel interviews across teams.
Contentsquare delivers the power to make the digital world more human. Its AI-powered platform provides rich and contextual insight into customer behaviours, feelings and intent — at every touchpoint in their journey — enabling businesses to build empathy and create lasting impact.
In the summer of 2021, Contentsquare post Series E funding of $500m to scale and accelerate onto new markets; decided to launch a new hub in Barcelona. Scaling Data Engineering and Full Stack Engineering in Paris became problematic, the Barcelona hub was going to be the answer to launching new products!
Contentsquare whilst being a renowned tech environment and employer of choice in Paris for Computer Scientists. Was relatively unknown in the Spanish tech market. To attract the best Engineers in Spain, a compelling and engaging outreach program was first required to be designed.
Our Techruitment Leads dived deeper into the architecture and technical build to explain in detail why Contentsquare is such a compelling opportunity for a Computer Scientists wanting to truly challenge themselves by building technology that will pave the way for new innovation!
Finding and identifying the best talent is arguably the hardest challenge in any recruiting cycle! After understanding the technical requirements of speed or processing events and the amount of data being processed in real-time and batch processing. We were able to very quickly identify Industries, Companies and Environments that will provide the right experience for Engineers to quickly onboard in Contentsquare and add value!
The introduced pool included specialists in machine learning, software engineering, robotics, and other related disciplines, effectively addressing Wayve's hiring needs.Moreover, Techruiter ensured a robust diversity ratio of 40% among the sourced candidates.
This initiative promoted inclusion and broader perspectives in the hiring process, aligning with Wayve's commitment to diversity and innovation.Their bi-weekly sprints proved to be an efficient approach to manage this complex recruitment process. By tracking key performance indicators such as candidate acceptance rate, interview success rate, and time to fill, Techruiter was able to maintain a high degree of efficiency and effectiveness throughout the hiring campaign.
Utilising Academia and personal projects via GitHub allowed us to identify further talent; that may not necessarily be available on LinkedIn or be employed at established companies.
Refactoring and Continuous Improvement is the hallmark of great tech companies, and a core value at Techruiter and at Contentquare!
We worked tirelessly with the Talent and Engineering teams to improve and refactor our interview process so that it provided the data to allow the correct decision to be made and also ensure candidate experience was excellent!
Improved technical assessment in first stage interview by adding a Coding Game to quickly ascertain skill level in Javascript.
Smarter prioritisation on candidates performing incredibly well in 1st stage being processed faster in lightweight interviews to get to hiring decision rapidly within days.
Take home code test for Data Engineering being improved to be:
• Simpler to understand
• Remove duplication and add Boilerplate code, to reduce time to complete the test.
Google Sheets to track engagement throughout the interview process to ensure minimal drop offs.
In a rapidly evolving market having the most updated information available and categorised in the right way is pivotal to ensuring you remain ahead of your competitors.
techruiter. built a salary benchmark data platform that enabled Contentsquare to ensure salaries were levelled according to
The newly hired employees quickly adapted to Wayve's dynamic work environment and started making significant contributions. The Engineering Manager effectively streamlined operations within the engineering team, improving overall productivity. The Senior Software Engineer and the Machine Learning Engineer applied their unique expertise, driving critical advancements in the company's autonomous vehicle technology.
