Natalia Parmenova

Chief Revenue Officer at BeNeering

Natalia Parmenova is an accomplished executive with extensive experience in revenue generation, business development, and strategic consulting across various technology-driven organizations. Currently serving as Chief Revenue Officer at BeNeering and as a member of the Advisory Board at CloEE, Natalia has a proven track record in driving growth, optimizing operations, and building high-performance teams in diverse markets, including the EMEA region during tenure as Regional Director at CloudBlue. Previously, Natalia held significant leadership roles at SAP, including Chief Executive Officer for CIS, where strategic initiatives led to substantial revenue growth and strengthened customer relationships. With an educational background including multiple MBA degrees from INSEAD and a Master's in Economics from Saint Petersburg State University, Natalia combines strategic insight with a strong operational focus to propel organizational success.

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BeNeering

BeNeering is a leading provider of AI-powered solutions for indirect procurement. Our Digital Procurement platform is being developed in close co-innovation with leading global corporations. As a result, our customers benefit from digitalised best practices realized with cutting-edge technologies. At the same time we offer agile tools for efficient realization of complex customer-specific requirements. We deliver value to large and mid-size customers from 11 industries in 86 countries: • allowing to efficiently digitalize various buying channels in one standard solution • providing intuitive AI-based guidance along procurement cycle to all user types • increasing collaboration and automation between our customers and their suppliers • creating optimal architecture between our platform and customers’ ERP to minimize integration costs and maximize compliance. Our customers channel up to 90% of purchasing requests in indirect spend via BeNeering Digital Procurement minimizing routine work for procurement team, saving end user time and efforts, and optimizing buying costs.


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51-200

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