Summary
Ajeet Ganga is an engineering leader with 11+ years of experience building high-throughput, platform-centric SaaS systems across global marketplaces, currently leading GenAI, Search, and Data initiatives at Google after a multi-year tenure driving merchant and marketplace engineering at Uber. He has a strong track record owning end-to-end lifecycle systems—from restaurant onboarding and menu management to payments, checkout, and tax flows—at scale across dozens of countries. Comfortable with both low-latency systems and large petabyte datasets, Ajeet has guided teams through distributed systems, search, recommendation, and conversational AI to improve agent productivity and customer experience. A pragmatic coach-first manager, he adapts agile practices to fit talented, motivated teams and focuses on unlocking individual potential. His background spans product-critical roles at eBay, Amazon, Bloomberg, and Microsoft, combining deep systems engineering with strategic leadership training from Harvard Business School. He’s known for stretching processes to match real-world constraints and for translating complex technical domains into measurable business outcomes.
11 years of coding experience
13 years of employment as a software developer
Digital Health and Imaging, Artificial Intelligence, Digital Health and Imaging, Artificial Intelligence at Indian Institute of Science (IISc)
BE, Computer Science, BE, Computer Science at Visvesvaraya Technological University
Executive education, Strategy and Leadership, Executive education, Strategy and Leadership at Harvard Business School Executive Education
English, Gujarati, Hindi, Kannada, Marathi, German