Tomer Lerner
New York, New York,United States
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Tomer Lerner is a seasoned technology leader, entrepreneur, and cybersecurity expert with over two decades of experience in software development, cloud security, and building scalable technology platforms. He co-founded Polyrize, a cloud security company focused on identity and access governance, which was later acquired by Varonis. At Varonis, he served as VP of Cloud Product & Engineering. Tomer is known for his deep technical expertise, strategic vision in product development, and his ability to lead and mentor high-performing engineering teams. His work often centers around innovating in complex domains like cloud infrastructure, data security, and access management, aiming to solve critical enterprise challenges.
Professional Summary
Tomer Lerner's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Co-founder & CTO of Polyrize
Co-founded Polyrize, developing an innovative platform for cloud identity and access governance. Led the company's technology vision and execution, culminating in its successful acquisition by Varonis in 2020.
VP, Cloud Product & Engineering at Varonis
Following the acquisition of Polyrize, Tomer led cloud product and engineering initiatives at Varonis, integrating Polyrize's technology and driving innovation in Varonis's cloud security offerings.
Technical Leadership & Innovation in Cybersecurity
Consistently demonstrated leadership in developing cutting-edge solutions for cybersecurity, particularly in cloud environments, access control, and identity management throughout his career.
Serial Entrepreneur & Technology Executive
Has a proven track record of identifying market needs and building technology companies from the ground up, as well as holding significant R&D and engineering leadership roles in established tech companies prior to his entrepreneurial ventures.
Educational Background
BA (incomplete), Philosophy
The Open University of Israel - Year 2007
XCS224N - Natural Language Processing with Deep Learning
Stanford University School of Engineering - Year 2021
Applied Data Science program
MIT Professional Education - Year 2020
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Company Overview
WikiwandWikiwand is a modern software interface designed to enhance the Wikipedia reading experience. It provides users with an updated layout, improved navigation, better typography, and a more engaging way to consume content from Wikipedia articles. Key features include a fixed table of contents for easy navigation, a clean reading interface, linked article previews, and multi-language support. It is available as a browser extension for popular browsers and as mobile applications for iOS and Android, aiming to make learning more enjoyable and efficient.
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