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Manoj Mohan

Manoj Mohan

Enterprise AI & Data Executive building GenAI Platforms and scaling SaaS products

manojmohan
Los Altos, California
Joined September 2025
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Summary

Manoj Mohan is a seasoned Enterprise AI & Data Executive with over 20 years of experience leading global engineering teams. He specializes in building and scaling GenAI Platforms and AI Copilots, having successfully scaled SaaS products to over 100 million users and managed systems handling billions of requests daily. His expertise spans across Intuit, Meta, Cloudera, and Apple, demonstrating a strong track record in data, AI/ML, and platform engineering. substack+4
He is a thought leader in the data engineering space, advocating for 'the boring future of data engineering' where systems are so stable and intuitive that they become invisible, seamlessly powering business decisions. He emphasizes treating data platforms as products, applying a 'Grounded, Guarded, and Governed' framework for LLMs, and fostering a mindset of scalability in engineering teams. substack+1
Manoj also serves as a Venture Technology Advisor, guiding emerging AI companies on AI infrastructure, data systems, and platform engineering at scale. This role leverages his extensive background in combining technical depth with strategic perspective, honed through executive education at Stanford GSB and Harvard Business School Online. linkedin+2
He has a strong foundational and executive education, holding an MS in Software Systems from Birla Institute of Technology and Science and a B.E. in Engineering from PSG College of Technology, complemented by leadership and strategy programs from Stanford University Graduate School of Business and Harvard Business School Online. rocketreach+1

Work

Education

Writing

The Boring Future of Data Engineering

September 17, 2025

A podcast discussion where Manoj Mohan shares insights on building scalable, resilient, and future-ready data organizations. He discusses treating platforms as products, operationalizing LLMs using a 'Grounded, Guarded, and Governed' framework, and the future of data teams focusing on strategy and systemic insight.

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Unfair Advantage: Building On The Knife's Edge

An article discussing the importance for founders to identify and leverage their 'unfair advantage'—whether it's their educational background, professional experience, fundraising capability, business idea, or ability to execute—to increase their chances of startup success. It emphasizes that playing to one's strengths is crucial, especially in early-stage startup building.

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Notes

AGAmit Goelsaid they would trust
MMManoj Mohan
to build and lead the architecture of a complex application involving sophisticated data modeling.

Jan 20, 2026