Jayaram Thiyagarajan
Jayaram Thiyagarajan is a Senior Principal Engineer and founding member of the engineering team at RevSure AI, where he works on building the data infrastructure and systems that power the company’s Full Funnel Context Data Platform. With over a decade of experience in data engineering, distributed systems, and large-scale data platforms, Jayaram focuses on solving complex challenges related to integrating, harmonizing, and activating go-to-market (GTM) data for modern B2B organizations.
At RevSure, Jayaram plays a key role in designing the engineering architecture that enables organizations to unify fragmented GTM data across marketing, sales, and revenue operations systems. His work centers on building scalable systems that ingest data from multiple sources, including CRM platforms, marketing automation tools, advertising systems, intent data providers, enrichment platforms, and product analytics, then transform that data into a clean, reliable, and governed foundation for analytics and activation.
A major focus of Jayaram’s work is to ensure that RevSure’s platform maintains a trusted, full-funnel context across leads, accounts, buyers, and opportunities. This includes building systems that support identity resolution, data standardization, deduplication, and enrichment at scale. By maintaining high levels of data hygiene and consistency across the revenue funnel, the platform enables organizations to generate accurate attribution insights, improve reporting reliability, and support AI-driven decision-making.
Jayaram also contributes to the engineering systems that allow RevSure’s unified data foundation to power real-time activation. Rather than treating data solely as an analytics layer, RevSure enables organizations to orchestrate workflows, trigger actions across systems, and support AI-driven automation using trusted GTM data. Building these capabilities requires carefully designed data pipelines, event-driven architectures, and governance frameworks that ensure reliability and control in enterprise environments.
Before joining RevSure, Jayaram spent several years building large-scale data platforms and analytics infrastructure at companies including Zeta Global. There, he worked on systems capable of processing billions of events and identity records across multiple channels. His work supported the creation of identity graphs, audience segmentation, and large-scale data processing pipelines used to power marketing intelligence and customer engagement platforms.
Throughout his career, Jayaram has built deep expertise in data engineering technologies such as Python, PySpark, Apache Spark, Airflow, Snowflake, and various cloud data architectures. His experience includes designing ETL pipelines, developing scalable data processing frameworks, and building analytics infrastructure capable of supporting high-volume enterprise workloads.
At RevSure, this technical foundation helps him contribute to building a platform that enables B2B organizations to move beyond fragmented data environments toward a unified and actionable view of their revenue operations. By ensuring that GTM data is clean, connected, and accessible in real time, Jayaram’s work helps marketing, sales, and RevOps teams gain the visibility they need to make confident decisions and drive predictable revenue growth.
Jayaram is particularly passionate about building reliable, production-grade data systems that organizations can trust at scale. As enterprise teams increasingly adopt AI and automation across their go-to-market operations, the importance of strong data foundations becomes even more critical. His work focuses on ensuring that the systems powering these capabilities are governed, transparent, and designed to operate reliably in complex real-world environments.
Through his engineering contributions, Jayaram helps advance RevSure’s mission of enabling organizations to unify their go-to-market data, unlock actionable insights, and operationalize revenue intelligence across the full customer journey.
