Simeon Simeonov is a technology partner in the Polaris Ventures Boston office. He joined Polaris in March of 2002 and is focused on helping entrepreneurs launch companies in the Internet, mobile and enterprise space. Sim helps entrepreneurs shape promising ideas, raise capital, build teams and execute. Sim blogs at simeons.wordpress.com.
Experience: Sim has broad experience working with. He has helped create several startups, most recently as co-founder of San Francisco-based Plinky. Prior to joining Polaris, Sim was vice president of emerging technologies and chief architect at Macromedia (now Adobe). Earlier, Sim was a founding member and chief architect at Allaire, one of the first large Internet platform companies. Sim’s expertise covers the gamut from strategy definition and positioning to R&D execution to go-to-market and alliances development. He has played a key role in more than twenty v1.0s and M&Aspinout transactions. Sim’s innovation and leadership have brought about category-defining products with significant market impact: the first Web application server (ColdFusion), a pre-cursor to Web services and AJAX (WDDX), the best open-source Web services engine (Apache Axis) and the first rich Internet application platform (Flash/Flex).
Boards: Sim represents Polaris as a Director of Veracode, a company he helped form. He is also a Board Observer at Allurent, Plinky and SiCortex. Sim’s past investments include Archivas (sold to Hitachi Data Systems) and Meridio (sold to Autonomy). He serves on the board of directors of the Massachusetts Innovation & Technology Exchange (MITX), the largest technology non-profit in New England, and on the advisory board of theNantucket Conference.
Education: Sim has a master’s degree summa cum laude in computer science from Boston University and bachelor degrees summa cum laude in computer science, economics and mathematics from Macalester College. His research interests have ranged from microcode simulation to soft artificial intelligence to shared multi-user virtual environments to economic modeling of Russian privatization.
