Krishna Kannan has spent his career at the intersection of data and product, transforming how engineering organizations quantify their impact and align with business strategy. As the Head of Product at Jellyfish, Krishna has been the architect of a vision that moves engineering management from intuition to evidence-based intelligence. By spearheading the development of the “AI Impact Framework” and Jellyfish’s AI Impact product, Krishna has provided the industry’s first vendor-neutral system for measuring the true ROI of AI tools like GitHub Copilot and Cursor, helping more than 700 global customers invest in the AI technologies that actually drive productivity.

Krishna’s technical leadership is defined by his ability to translate high-level engineering signals into actionable narratives for the C-suite. Under his guidance, Jellyfish has scaled its AI capabilities to significantly reduce operational friction and deliver timely insights for engineering leaders and managers. His deep commitment to data integrity and explainable AI ensures that Jellyfish remains the trusted system of record for engineering health. By bridging the gap between technical data science and commercial outcomes, Krishna has established himself as a definitive authority in the Boston AI and product management ecosystem.