Case Study: Hoppr
“Our experience has been exceptional.
Feedback from our new hires has been
overwhelmingly positive. Talent Retriever’s management of candidates is superb, enhancing our company’s reputation.”
KYLE SMYTHE
Integrator, NorthStar Refrigeration
ENGAGEMENT SNAPSHOT
Program Type: Project
Industry: AI
THE CHALLENGE
Hoppr, a fast-growing AI start-up specializing in advanced machine learning solutions, encountered a significant recruitment bottleneck. The CEO was personally screening hundreds of applicants, consuming substantial leadership time and delaying strategic priorities. Recognizing the need for a more structured hiring process, Hoppr engaged Talent Retriever to take over applicant screening, communication, and initial evaluations.
THE SOLUTION
After taking over the screening process, we found that inbound applicants were largely unqualified, extending hiring cycles and creating excessive noise. Talent Retriever transitioned to a proactive sourcing strategy, directly identifying and engaging top-tier talent aligned with Hoppr’s technical requirements, cultural fit, and long-term vision. This shift not only streamlined hiring but also significantly elevated the caliber of candidates, freeing leadership to focus on growth.
THE RESULTS
- 1:1.2 submittal to interview ratio
- Shortened hiring cycle and increased interview-to-hire success
- enhanced brand visibility
- Reduced unqualified noise by targeting the right talent
Sample of roles hired
ML Engineers
SDET Engineer
Software Engineers
Director of QMS
Program Manager