Home > Startups > Specialties > Human resources > Job Matching, Tinder Style: Recruit the Way You Date

Job Matching, Tinder Style: Recruit the Way You Date

Since the Tinder wave reached land, the use of intelligent algorithms to match profiles has become more and more democratized. In the tech recruitment industry, this new approach has become increasingly popular because of the user experience and ease of use it offers — both for the candidate and the company.

Ideal for the pre-selection phase prior to physical interviews, job-matching solutions offer incredible time savings to human resources teams and greater simplicity for candidates. This is a sector with a bright future.

Should we believe in a Tinder recruiting model?

This “matching” approach has been widely democratized since the giant Tinder was first launched in 2012 — so much so that job-matching is now competing with “traditional” job search methods. Competition is fierce in the IT market, and some candidates regret recruitment agencies’ and other intermediaries’ pushy manoeuvring. Companies seeking to recruit also pay significantly more to go through intermediaries.

The technology sector has undoubtedly been experiencing recruitment problems for several years. On the one hand, companies are struggling to find solutions to recruit talent, hampering their development and innovation. On the other hand, tech profiles attentive to the market would like to have access to qualified job offers adapted to their professional skills.

Between skills and keywords

Artificial intelligence has advanced so much over the last few years that it’s now an essential part of the recruitment process. Intelligent algorithms are now capable of analyzing the content of CVs, comparing them with job offers, and then connecting recruiters and candidates when there is a “match.”

“More transparency, speed, and responsiveness: these are the advantages of matching methods in recruitment.”

The nexten.io approach

nexten.io’s algorithm allows users to identify the most suitable candidates for a certain job offer. To accomplish this, the artificial intelligence is based on “Knowledge Graph” technology, which delivers personalized recommendations according to the company’s needs and search profiles.

Simple and intuitive at the same time

In just a few clicks, candidates create their professional profile, upload their CV, and highlight their professional experience and background. Companies integrate their job offers into the platform, detailing their expectations. Then, the magic takes place: artificial intelligence identifies which profile could suit which company, and parties are put in touch. Love at first sight, guaranteed!

The job-matching applications perfectly meet everyone’s expectations: the intermediary is eliminated, and the two parties can freely exchange with each other via an interface adopting modern codes, in line with their expectations.

More transparency, speed, and responsiveness: these are the advantages of matching methods in recruitment.

The world of recruitment, particularly in the tech sector, has undergone many upheavals in recent years, notably brought about by intelligent algorithms and predictive recruitment. In the context of job-matching, the success of dating applications certainly has certainly been an influence!

Companies and candidates alike are seeing their approaches simplified and modernized by players such as nexten.io who are aware that expectations in the sector are shifting. By eliminating any intermediary in the recruitment process, recruitment platforms allow the company to secure recruitment and the candidate to receive more qualified offers. That’s a perfect “match!”


This article was first published on nexten.io Medium page

You may also like
Nominate Your CTO Of The Year
Developers Are Not ‘Hot Chicks’
“All In All, The Recruitment Process Took No More Than Three Days”
10 Reasons Why nexten.io Is A Great Tool For Startups Hiring Tech Talents