Discover Overlooked Candidates with MojoHire.ai

by | Dec 19, 2021 | News

On RecruitingDaily’s Use Case Podcast with William Tincup, MojoHire describes some of its unique features and benefits that set it apart in the TA/HR Tech ecosystem.

Tincup described MojoHire’s ability to mine otherwise overlooked candidates buried in a company’s applicant tracking systems like surfacing “found money,” only in this case they are “found assets.” Companies rarely undertake the cumbersome task of going back and digging into their ATS to consider candidates that have previously applied for open positions, even though the perfect-fit candidate for the current open req might be sitting right in their own system.

Lau also touches upon the plethora of use cases for MojoHire, thanks to its broad and versatile matching ability. Not only does it match talent to a specific opportunity, but it also matches candidates to all suitable opportunities, even ones the recruiter might not even know about. It also has a feature that finds and surfaces other candidates similar to the one you are considering, for example, to backfill positions left empty by internal employee mobility.

Tincup and Lau broached the subject of workforce diversity and how MojoHire can help mitigate unconscious hiring bias through its anonymization feature.

For more details about these and the other topics addressed during this interview, listen to the full podcast below.

#overlookedcandidates #talentmatching #internalmobility #diverserecruiting

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