About /

When it comes to job-hunting, we’ve all heard, “It’s who you know, not what you know.” That old adage has never been truer than it is today, when more and more people are relying on connections to find jobs.

Whether searching for the right job or the right employee, people tend to explore their own social and professional networks before turning to any other recruitment channel. Job postings often make their way to Facebook, LinkedIn and Twitter before even appearing on a company’s website.

Well for one thing social media networking is people oriented, whereas job boards and job search engines are object oriented.

People prefer to engage with other people - especially where gainful employment is concerned. Moreover, job seekers are fed up with some job boards publishing meritless job postings with the sole intent of collecting resumes that simply get sold or otherwise included in a resume database somewhere.

Job seekers embrace social media - 82% of jobseekers use social networks.

Extensive as job seekers’ social networks may be, they are confined by their connections, friends or followers. These job seekers would benefit from an expanded reach and access to all relevant job opportunities across networks.

That is exactly what JobsMiner offers – a valuable, constructive and innovative means to access the job opportunities hidden within the vast social space. In unlocking this hidden pool of job openings, JobsMiner is able to match employers and job seekers, providing an end-to-end solution to all parties.

We have created the first social media job search engine based on a unique technology the “Makam.” This search engine crawls social networks, blogs and forums, filtering out the clutter and presenting only opportunities that are relevant to the job seeker.

The technology is seamlessly embedded within Facebook, connecting job seekers to employers via their own Facebook and LinkedIn accounts.

We offer a single solution that provides full visiblity across social networking channels, and the best jobs can remain hidden within the social space.

Makam is the leading Israeli provider of online monitoring and analysis services, serving thousands of users in top Israeli local and global organizations.

Makam has unique contextual analysis capabilities and is currently in the process of registering a patent for its algorithms and development (patent pending – United States Patent Application No. 61/473,920).

The system applies contextual algorithms in an accurate search engine that isolates the relevant content, weeding out the “noise”. The Makam system handles huge amounts of data daily, checking billions of possible correlations.