Shantanu Shrivastava
Shantanu Shrivastava is a Founding Member of the Engineering team at RevSure AI, where he works on building the data and infrastructure systems that power the company’s Full Funnel Context Data Platform. With deep expertise in large-scale data architecture and distributed systems, Shantanu focuses on solving complex challenges related to unifying, governing, and activating go-to-market (GTM) data in real time for modern B2B organizations.
At RevSure, Shantanu has been closely involved in designing and scaling the engineering foundations of the platform from its early stages. His work helps enable organizations to consolidate fragmented data across marketing, sales, and product systems into a unified, trusted context layer. This unified data foundation allows revenue teams to better understand customer journeys, measure marketing attribution accurately, and drive coordinated GTM execution across teams and tools.
A key focus of Shantanu’s work is building the architectural layer that allows RevSure to transform raw data into actionable insights and automated workflows. This includes developing systems for identity resolution across leads, accounts, buyers, and opportunities, as well as enabling event-driven orchestration that allows organizations to activate data across their technology stack. By enabling governed writebacks and controlled integrations with systems of action, RevSure helps companies operationalize their GTM data instead of simply analyzing it.
Shantanu also contributes to the engineering capabilities that support RevSure’s AI-driven platform. As organizations increasingly adopt AI to support revenue operations and decision-making, ensuring reliability, governance, and transparency in these systems becomes critical. His work helps ensure that RevSure’s AI capabilities operate within a framework that prioritizes enterprise-grade security, data governance, and responsible system design. This approach enables customers to confidently integrate AI-powered insights and automation into their revenue operations.
Before joining RevSure, Shantanu built extensive experience working with large-scale data platforms and distributed systems. He spent several years at Zeotap, where he worked across multiple engineering roles and eventually served as a Lead Engineer. During his time there, he contributed to building and scaling data infrastructure capable of processing large volumes of data using technologies such as Apache Spark, Hadoop, and Hive. This experience helped shape his expertise in designing resilient, high-performance data systems that support complex analytics and real-time processing.
Shantanu began his engineering journey with a strong academic foundation in computer science. He earned his Bachelor of Engineering degree in Computer Science from Birla Institute of Technology and Science (BITS), Pilani, one of India’s leading engineering institutions. During his early career and internships, he worked on projects involving data systems, image classification, and software infrastructure, developing a strong interest in building systems that operate reliably at scale.
At RevSure, Shantanu continues to work on solving some of the most challenging technical problems in modern revenue technology. His work helps ensure that organizations can move beyond fragmented analytics toward a unified, real-time understanding of their go-to-market operations. By combining scalable data architecture with secure activation capabilities, he contributes to building platforms that allow revenue teams to move faster while maintaining strong data governance and trust.
Through his work and contributions, Shantanu is passionate about building reliable, production-grade systems that help organizations unlock the full value of their data. His focus on scalable architecture, real-time data orchestration, and responsible AI design reflects RevSure’s broader mission of enabling organizations to make better revenue decisions with confidence.
