Jeff Margolis
About Jeff Margolis
Jeff Margolis is a Senior Field Sales Engineer at Cape Analytics, Inc, where he has worked since 2017. He has extensive experience in geospatial imagery, computer vision, and machine learning, and has held various engineering and sales roles at multiple technology companies throughout his career.
Current Role at Cape Analytics
Jeff Margolis serves as a Senior Field Sales Engineer at Cape Analytics, Inc. since 2017. In this role, he focuses on providing comprehensive data and analytics solutions delivered via API. His expertise in geospatial imagery, computer vision, and machine learning allows him to effectively extract proprietary property data, contributing to the company's mission of delivering innovative analytics solutions.
Previous Experience in Technology and Sales
Prior to his current position, Jeff Margolis held various roles in technology and sales. He worked as a Sales Engineer at Voltaire from 2008 to 2011 and as a Director of Presales Engineering at Stratoscale from 2014 to 2016. His experience also includes a position as a Support Engineer at Interwoven from 2003 to 2004 and as a Senior Infrastructure Engineer at The Revere Group from 2005 to 2008.
Early Career Background
Jeff Margolis began his career in the technology sector at Outlook Technologies, where he worked as a Helpdesk and Junior Sysadmin from 1998 to 1999. He then transitioned to a consulting role at Discover Financial Services from 1999 to 2001. His early career provided a foundation in technical support and systems administration, which he built upon in subsequent roles.
Educational Background
Jeff Margolis studied at Michigan State University from 1994 to 1998, where he earned a Bachelor of Arts degree in Telecommunications and Computer Systems. This educational background equipped him with the knowledge and skills necessary for his career in technology and sales engineering.
Expertise in Data Solutions
Jeff Margolis has developed expertise in leveraging advanced technologies such as geospatial imagery, computer vision, and machine learning. This skill set enables him to extract proprietary property data and provide valuable insights through data and analytics solutions, particularly in his current role at Cape Analytics.