Shrinath has spent over two decades working with founders, product teams, and organizations navigating ambiguity, the space before the roadmap is written, where the real problem hasn't been named yet. His work spans three connected threads: he consults with companies on cross-functional AI and product strategy challenges across industries as varied as renewable energy, healthcare, education, and enterprise SaaS; he coaches product teams directly on the specific skills and decisions that get them unstuck; and as a long-time mentor with Google for Startups, he mentors founders, having worked with over a hundred of them across the world on discovery, growth readiness, and decision-making under pressure.
Underneath that work is a habit he's carried since his early career in mobile and maps: watching what happens when new technology lands in a culture it wasn't designed for, and taking that seriously instead of writing it off as a quirk. Official product logic and what actually happens on the ground rarely match, and the gap between them is usually where the real opportunity sits, not in the metric everyone's already looking at. That's the lens he brings into every engagement.
His central conviction is that most organizations don't actually have an AI problem, they have a clarity problem. For marketers, that shows up as a specific risk: AI makes it easy to reduce human behavior to clean segments, and the segments miss what's actually driving people. He writes about this on Blind Spots to Big Bets.
Outside of work, Shrinath writes on Medium about travel, history, and the stories hiding in both, a curiosity that quietly feeds how he reads organizations too. He is based in Bangalore, India.
