Bright.com Closes $14 Million In Series B Funding
San Francisco, CA (PRWEB) September 18, 2013 -- Bright.com, the Internet’s fastest growing employment website and the only job destination that leverages data science to connect job seekers with best-fit employment opportunities, today announced the close of its $14 million Series B funding round. The site, which over 6 million job seekers visit each month, has grown to the fourth largest job destination online in under two years.
Toba Capital, a new investor, led the funding round, along with several existing investors including John Burbank of Passport Capital.
Series B investment will primarily go towards powering the data science behind the Bright Score, an algorithm that examines numerous features, from a company’s hiring trends to skills on a resume, in order to connect candidates with the right jobs. Additionally, Bright plans to add to their current team of 51 people by putting their own technology to work hiring across their sales, marketing, and engineering departments.
“Data science has already made tremendous strides in aiding our country’s broken hiring process and Bright.com is building on this momentum,” remarked Steve Goodman, CEO of Bright.com. “With this investment, we will focus our efforts on making data science an even more refined solution for job seekers, recruiters, and employers, enabling America’s great companies to find their best employees faster.”
“Data science is transforming the hiring process, and Bright.com is leading the way,” noted Vinny Smith, Founder of Toba Capital. “With this investment, we look forward to further enhancing Bright’s platform, which has already changed the way companies like Chase, Nike, and Amazon connect with job seekers.”
To date, Bright.com has listed over 30 million jobs and continues to add over 20,000 new job seekers every day.
About Bright.com
Finding the right job should be easier than splitting an atom. Steeped in data science, Bright.com eliminates the noise in the hiring process by efficiently connecting job seekers to their best opportunities, and employers to their top prospects. Bright’s machine-learning algorithm, the Bright Score, examines thousands of data points to find the best fit between job seekers and job openings. For more information, please visit http://www.bright.com/ and follow us on Twitter @brightjobs.
Katherine Hurd, Moxie Communications Group, http://www.SHIFT.com, 703-597-6705, [email protected]
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