thinksquare

At the most basic level of our AI, it is based on straight forward keyword matching, however overtime our A.I matches our users with jobs with increasing accuracy based on the past data of other matches used as a training set. This way, we can match users based on variables that go beyond skills and into areas such as cultural fit etc.

On our platform, a user's profile is equivalent to their resume. We handle the legwork of re-formatting how their experience or skills are displayed to match the job applied to instead of making the user edit their resume for each individual position. The aim is to save job seekers time while ensuring the jobs we match them with are what they're looking for.

We think a lot of companies know that great candidates aren't found through overkill when it comes to requirements and that you need some flexibility. In general though, our matching algorithm relies on what the company sets as essential skills. This way, we're able to filter out applicants who are entirely unqualified while leaving it up to the hiring company to decide if you're a good fit for an interview. If you have the right skills, and its apparent in your profile, the company will see this when they take a look in the talent pool for the job. But over time, our AI will suggest core skills for job postings through comparison to who was hired for similar jobs on our site according to the skills they had.

Hey there, glad you like the idea! We do not apply to any jobs without your approval. Once you are matched with a job posting, you must approve the match before we submit the application on your behalf. Until then, companies won't be able to view your profile or any of your personal information. So in a way, we would be recommending you the jobs based on the preferences you set during onboarding :)