Former VP of Accruent joins executive team to build out and embed customer success program within Anaconda
AUSTIN, Texas – September 4, 2018 – Anaconda Inc the most popular Python data science platform provider with 2.5 million downloads per month, today announced the addition of Maggie Key to its executive team as SVP of Customer Success. A veteran in the high-tech industry and former VP at Accruent, Key will be responsible for further building out Anaconda’s customer success program and team.
“We are thrilled to welcome Maggie Key to the Anaconda leadership team, as we continue to make customer success a top priority,” said Scott Collison, CEO at Anaconda. “With a proven track record of building expert programs, we believe our customers will benefit greatly from Maggie’s experience and expertise.”
Key has served in a variety of customer success and loyalty leadership positions across worldwide organizations within the high-tech industry, including Salesforce, Dell, and Accruent, where she built the global customer success program. Additionally, she served in various business operations and strategic leadership roles within the pharmaceutical research and life sciences industries. Maggie holds a Bachelor’s in Clinical Laboratory Science from Texas State University.
“I feel very fortunate to join Anaconda, a company that deeply cares about its customers and their success,” said Key. “It’s an exciting time as we continue to evolve the business to drive rapid adoption of our platform by large enterprise customers. With this expansion comes an increasing need to scale our customer engagement programs, while ensuring each customer achieves their unique goals. I look forward to spearheading these efforts.”
For additional information on Anaconda Enterprise, please visit: https://www.anaconda.com/enterprise/
About Anaconda, Inc.
With over six million users, Anaconda is the world’s most popular Python data science platform. Anaconda, Inc. continues to lead open source projects like Anaconda, NumPy, and SciPy that form the foundation of modern data science.
