It’s a problem that recruiters and candidates alike are all too familiar with: poorly written job descriptions that do little to direct the right talent to the right open positions abound. To make it even worse, many resumes are similarly uninformative, making it equally challenging for employers to find the right candidates through simple keyword searches. Google has stepped in to do something about this bidirectional mess.
In a blog post on November 15, 2016, Google announced it’s now job-match API, Cloud Jobs. “Hiring is one of the hardest things organizations do” says the post. “Part of the difficulty comes from a lack of industry standards to define and describe occupations and how they align to specific skills.” Google’s Cloud Jobs aims to change that.
A part of Google Cloud Machine Learning group, Cloud Jobs is currently in the alpha testing phase and available only to a limited number of companies. In its complete form, Cloud Jobs will be a big, free to use API that boasts a really smart, intuitive job match algorithm to pair job seekers with relevant positions. Anyone will be able to use it and, when used in combination with applicant tracking systems (ATSs), will allow companies to better leverage contacts from previous applications to fill new job openings.
What Google Cloud Jobs Does
It Translates Jargon
When candidates search for keywords, Cloud Jobs also searches for industry- and company-specific jargon that refers to the same positions. This is incredibly helpful for matching job seekers searching in plain English to position descriptions written in jargon.
It Fleshes Out Job Descriptions
Job descriptions are all too often incomplete. Cloud Jobs fills in missing information, like company street addresses, employment type, and benefits, where appropriate.
It Filters Jobs by Geography
Some job seekers prioritize short commute times, or simply aren’t willing to have commutes that take longer than a certain amount of time. Cloud Jobs can translate street addresses and colloquial regions like ‘Bay Area’ or ‘Research Triangle’ to precise geo-coordinates. This allows job seekers to filter based on distance and commute times.
It Filters by Seniority
It’s incredibly frustrating, for example, for a mid-level job seeker to search for a specific job opening and receive dozens of listings that are entry- or senior-level. Cloud Jobs understands seniority so that it only presents relevant results to job seekers.
It Allows Job Seekers to Tailor Their Results
Job seekers can mark the jobs that they like and the jobs that they don’t. Cloud Jobs then uses that information to tailor the results it presents. The more that a job seeker uses Cloud Jobs, the more specific the results become.
What This Means for Companies Who Will Use It
Put simply, Cloud Jobs shows job seekers relevant open jobs, so that they don’t have to wade through pages and pages of jobs that they aren’t well qualified for. This not only makes it easier for job seekers to find the jobs they want, but also makes it easier for companies to get their open jobs out in front of the right candidates. Finally, there will be a free to use API that any company can use to drive up the quality of the match between their applicants and their open positions.
By utilizing Cloud Jobs on the job listings section of their websites, companies can also improve the candidate experience. Candidates who don’t have to waste hours sifting through jobs they’re not interested in are happier candidates.
Big Picture: Where Recruiting is Going
Google’s choice to release an API to improve job boards and ATSs rather than releasing a competitor job board or ATS is welcome news to many. “Google isn’t joining the HR Technology game, but it is providing a technology to enhance HR technology products” says Jessica Miller-Merrell, vice president of talent strategies at Advanced Resources. “They aren’t creating a job board to complete with an already active, mature and crowded space, but rather providing technology using their expertise for current and future players to elevate their current job board and career site solutions.”
Recruiters report that 50 percent of applicants for a job fail to meet the job’s basic requirements. With the use of Cloud Jobs and therewith improved jobseeker-job matching, potential candidates are more likely to see, and apply for, jobs that they’re actually qualified for. This could lead to a potentially improved ratio of qualified to unqualified applications, saving recruiters and hiring managers valuable time that is currently being wasted wading through a slush pile of unpromising applications.
As evolving recruiting technology makes it ever easier to identify and connect with the right candidates, successful recruiters and hiring managers will begin to shift their focus towards humanizing the person-to-person portions of recruiting, such as the interview process and culture fit interviews, in order to set themselves apart from the rest.
Want simplified recruiting? Try Happie!