Andrew Nalband is a textbook example of the “builder-PM” in the modern AI era. As the Co-Founder of Mavin, Andrew took the company from a services-led ABM agency to a product-led AI platform in just four months. Despite entering the space with limited prior AI development experience, he successfully architected a system that captures high-intent LinkedIn signals—such as specific engagement patterns and content interactions—and translates them into actionable sales opportunities. This bootstrapped initiative has achieved remarkable results within its first year, proving that deep domain expertise can often outpace pure technical theory.

Andrew’s technical journey is as impressive as his commercial results. He leveraged AI tools to teach himself the very machine learning concepts he was implementing, effectively using “AI to build AI.” With a background in UX design, he ensures that Mavin’s products don’t just have technical depth but are intuitively accessible to non-technical sales teams. Now launching his third product into open beta, Andrew has become a standout figure in the Boston ecosystem for his ability to bridge the gap between abstract AI capabilities and real-world, revenue-generating workflows.