Cloud Job Discovery, the machine learning HR tech tool formerly known as Cloud Jobs API is now entering beta. Cloud Job Discovery is the sister tool of Google for Jobs, the part of Google’s push into HR tech that aims to improve job search functionality in job boards, career sites and every part of HR and recruiting.
Its core purpose is to improve engagement and candidate conversion, which it aims to do by better matching the right candidates with the right jobs. Among its features are the ability to understand company jargon, street level address mapping, seniority level matching and the ability to parse what employers and employees are actually looking for. That is, Cloud Job Discovery aims to be as good at understanding career searches as Google is at understanding all of our other searches. Something the HR tech industry sorely needs.
Perhaps even more than Google for Jobs, it’s Cloud Job Discovery that is set to transform HR and recruiting. It’s meant to integrate with and improve your existing job boards and career sites, bringing Google’s expertise in search and discovery to bear in a seamless integration into your existing process. It’s not the sort of HR tech disruption we’re used to talking about – Cloud Job Discovery isn’t trying to wipe out an existing industry, but rather to improve a specific aspect of it.
Among its early access clients were Jibe, Hays and iCIMS – a candidate experience and recruiting software company; a recruiting giant; and a cloud-based ATS firm. During this early testing phase Cloud Job Discovery was also integrated with CareerBuilder, Ongig and RolePoint. So far, clients seem happy with the results and I see no reason not to expect more HR tech companies to leap at the chance to participate in beta testing – slower to convince will be some of their customers.
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Because for all that HR tech has become a $14 billion industry, HR tech buyers and departments are still slow to change.