CloudCover Appoints Tech Industry Veteran Joe Scordino as Chief Revenue Officer -

CloudCover Appoints Tech Industry Veteran Joe Scordino as Chief Revenue Officer

Cool Vendor in Service Channel Enablement Software Experiencing Rapid Growth 

Irvine, CA: Nov 10, 2020 – CloudCover, a Gartner-Recognized “Cool Vendor” with an innovative Maintenance Management Platform, today announced the appointment of Joe Scordino as Chief Revenue Officer. Joe will be responsible for all revenue-generation strategy development and execution worldwide. His duties include overseeing sales, marketing, and partner development as he looks to expand CloudCover’s footprint within the IT reseller market. He reports directly to CEO Jeff Huggins. 

“Joe is a veteran in the IT services space and understands the market opportunity for our unique platform. More importantly he has a proven track record of delivering results and a solid reputation in the industry,” said Jeff Huggins, President and CEO of CloudCover. “We’re excited to pair his record of creating outstanding IT partnerships with the value CloudCover offers the Channel for continual growth.” 

Joe spent the past 30 years helping SMS (later Curvature) evolve into the largest independent IT support provider in the world, growing at a CAGR of over 20% during his tenure. His most recent roles included Managing Director of North American and Chief of Staff to the CEO. 

“The reseller community struggles with data overload from disparate sources including suppliers and customers,” said Joe. “CloudCover takes that data and not only integrates and normalizes it but makes it intelligent and actionable. With the flexibility of our platform and new features being continually developed to meet industry needs, we offer limitless possibilities for growth as a value add for the channel.” 

About CloudCover 

CloudCover has built the only intelligent support platform that allows users to integrate, evaluate, and capitalize on their data. It is backed by an evolving artificial intelligence powered by machine learning and its own data science team. See your data differently and make data work for you. For more information or a demo of the portal, please visit

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