SAN CARLOS, Calif. — January 12, 2010 — MarkLogic Corporation, a leading provider of information infrastructure software, today announced the appointment of Jeff Miller to its board of directors.
Miller is an accomplished senior executive and venture capitalist with over 30 years of experience working with some of the hottest software companies in Silicon Valley. From 1993 to 2001, he served as president and chief executive officer of Documentum, Inc., growing it to become one of the fastest growing technology companies in the world.
“MarkLogic has ground-breaking software, deep penetration in several marquee verticals, and an impressive executive team,” said Jeff Miller, JAMM Ventures president and newly appointed MarkLogic director. “It’s an honor to be joining the MarkLogic board, and I look forward to working with the company as they continue their rapid ascent in the industry.”
Miller founded business and consulting firm JAMM Ventures. Prior to JAMM Ventures, he was a venture partner with Redpoint Ventures, where he specialized in emerging enterprise and infrastructure software markets. In addition to Documentum, Miller held a variety of senior marketing and executive management positions at Intel Corporation, Adaptec, Inc., Fairchild Semiconductor International, Inc., and Cadence Design Systems, Inc. He currently serves on the board of McAfee, Inc. Miller also recently served on the board of Data Domain, Inc., which was acquired by EMC in 2009.
“We’re pleased to have someone of Jeff’s caliber join us and add to the tremendous breadth of our board,” said Dave Kellogg, chief executive officer, MarkLogic Corporation. “Given his background with high-growth companies and expertise in vertical market strategies, Jeff will be instrumental in helping MarkLogic capitalize on the growing market opportunity for information infrastructure software.”
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.