Rajat Srivastav
Rajat Srivastav is a product leader with extensive experience building and scaling AI-driven SaaS products for enterprise organizations. Over the course of his career, he has worked at the intersection of product strategy, artificial intelligence, and B2B software, helping teams translate complex technology into meaningful customer outcomes. His work has spanned early-stage startups, high-growth SaaS companies, and enterprise technology environments, giving him a broad perspective on how impactful products are conceived, built, and brought to market.
Rajat is particularly passionate about building purposeful products, solutions that solve real problems, create measurable value for customers, and align product development with business outcomes. His leadership style combines deep technical understanding with strong cross-functional collaboration, enabling him to work closely with engineering, design, go-to-market teams, and executive leadership to deliver products that scale.
During his time as Head of Product Success at RevSure, Rajat focused on ensuring that the company’s platform delivered meaningful value to customers across marketing, revenue operations, and go-to-market teams. His role centered on strengthening the ecosystem around the product, bridging the gap between product development and real-world customer outcomes.
In that capacity, he worked closely with product management, engineering, customer success, and design teams to ensure continuous improvement of the platform. By analyzing customer usage patterns, feedback, and operational challenges, he helped identify opportunities to improve features, documentation, usability, and overall product experience. His efforts focused on enabling customers to derive maximum value from the platform while reducing friction in adoption and implementation.
Rajat also played an active role in exploring how emerging AI and GenAI technologies could enhance the customer experience. He led initiatives to experiment with intelligent summarization, contextual assistants, and conversational interfaces that could help users interpret complex go-to-market data and insights more effectively. His work in this area contributed to early explorations of how AI could augment decision-making for marketing and revenue teams operating in complex data environments.
Prior to his work in revenue intelligence platforms, Rajat played a foundational role in building enterprise AI products in the revenue growth management space. As one of the earliest team members at an enterprise AI startup, he worked closely with founders and leadership to take the company from concept to scaled product adoption. His responsibilities spanned the full lifecycle of product management, from validating problem statements and defining product vision to building roadmaps, writing product requirements, and working closely with engineering teams to deliver production-grade software.
This early experience gave Rajat a deep understanding of the challenges and opportunities involved in building AI products from the ground up. It also exposed him to the realities of scaling enterprise software, where product success depends not only on technical innovation but also on strong collaboration with sales, customer success, and operational teams.
Earlier in his career, Rajat built a strong engineering and technical foundation through roles in product management and technology organizations across several global companies. His experience across engineering, product development, and startup environments helped shape his approach to product leadership, one that balances technical depth, business impact, and customer-centric thinking.
Rajat holds a master’s degree in Electrical and Computer Engineering from the Illinois Institute of Technology, where he focused on wireless communication systems and embedded technologies. His academic training, combined with years of hands-on product leadership, allows him to navigate complex technical environments while maintaining a clear focus on practical business outcomes.
