Sunnyvale, CA (PRWEB) November 14, 2012
Glassbeam Inc., the leading provider of Big Data apps for machine data analytics, today announced the appointment of Jim Peck as VP Field Operations. Jim brings a wealth of experience to Glassbeam in both hardware and software sales, having spent the past 20 years selling enterprise software at companies like Vendavo, i2 Technologies and Vistaar.
"Jim is an experienced sales executive with over two decades in selling enterprise software at large companies and startups," said Puneet Pandit, CEO of Glassbeam. "Jim has taken startups from zero to twenty million dollars in revenue and knows to scale. At this stage of our company Jim is a key addition to the team. We are delighted to have him on board”.
Prior to Glassbeam, Jim was at Vistaar, where he was responsible for building a sales team and growing revenues from the beginning with a focus on high tech and industrial manufacturing. Prior to Vistaar, Jim was at Vendavo, where he served as SVP of Sales. As SVP of Sales he scaled the sales organization to go from nothing to 20 million in annual revenue. Jim has also held sales executive roles at i2 Technologies, Savvion and Amdahl Corporation.
"Glassbeam is an exciting company, working to solve some huge problems in the Big Data space around multi-structured data analytics. I am looking forward to a rewarding journey with this strong team" said Jim. "The team has built a great product and acquired marquee customers. The next step is to scale and ramp up to penetrate various verticals where the technology is applicable and I am looking forward to help the team do that"
Glassbeam Inc. is a Big Data applications company specializing in multi-structured machine data analytics for device manufacturers, software vendors and their users. Glassbeam's pre-packaged Big Data applications for customer support, product development and sales leverage the company's breakthrough Semiotic Parsing Language (SPL) that can quickly extract strategic intelligence from complex operational data contained in multi-structure machine data.