Big Data Startup Roletroll Disrupts Job Search


New York, NY, June 20, 2014 --( Former Wall St trader Adam Grealish launches, a job recommendation engine for finance and tech jobs. The site uses unstructured data and statistics, collectively known as big data, to match users with jobs based on their unique skills and experiences.


Roletroll is a Brooklyn, NY-based start-up serving New York, Chicago and San Francisco. Job seekers upload their resumes, and computer programs do the job-search grunt work for them, aggregating jobs from multiple sources and identifying jobs that are a particularly good fit. Already Roletroll has scored over 5 million individual job matches.


Roletroll uses technology, previously applied in quantitative finance to identify profitable trades, to identify profitable jobs. The site’s proprietary matching technology draws from the fields of optimization theory, natural language processing and machine learning to identify and score matches.


The emergence of big data as a job-search tool came into sharp focus after the recent $120mm LinkedIn acquisition of, which also went beyond traditional boolean search to find people jobs.


Unlike other job sites, Roletroll learns as users interact with jobs. Similar to Pandora, Roletroll tailors its recommendations as job seekers indicate interest in certain jobs. When you like or star a job, Roletroll determines what makes that job a particularly good fit and finds more like it.


About Roletroll


Roletroll is a job recommendation engine for the tech and finance communities that uses big data to match people with jobs. Roletroll uses natural language processing and extensive machine learning to adapt to users preferences and provide hyper-personalized job matches.


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Image: Courtesy Roletroll