Scaling TensorFlow, Navigating Startup Pivots, ML Edge Infrastructure and AI Inference Strategy w/ Rajat Monga #256

Scaling TensorFlow, Navigating Startup Pivots, ML Edge Infrastructure and AI Inference Strategy w/ Rajat Monga #256

Author: The Engineering Leadership Community (ELC) April 28, 2026 Duration: 40:34
Rajat Monga, CVP AI Frameworks @ Microsoft, joins the podcast to discuss his leadership and founder journey, from Google Brain / Tensorflow to [inference.io](http://inference.io/) and back to Microsoft. He dissects what it means to refound vs. start from scratch, the value of the open source community, and strategies for discovering what problem to solve when going the startup route. We also cover how to determine your users’ hidden incentives and what that means for both product development & marketing, along with navigating the balance between a product’s usefulness and consumers’ willingness to pay for it. Additionally, Rajat shares about what he’s currently up to at Microsoft and the emerging ML / AI technologies he’s most excited about. 

Stepping into a leadership role in software engineering often feels like being given a map with half the landmarks missing. The Engineering Leadership Podcast, from The Engineering Leadership Community (ELC), fills in those blanks with conversations that feel like honest advice from a trusted colleague. This isn't about abstract theory; it's a grounded exploration of the specific perspectives, daily habits, and real-world examples that define effective leadership in technology. Each episode pulls back the curtain on the actual challenges engineering managers and directors face, from navigating complex team dynamics and technical debt to fostering innovation and sustaining culture during rapid growth. By tuning in, you gain access to a collective wisdom that helps you evolve your own approach, moving beyond just managing projects to truly leading people. The podcast serves as the audio companion to a broader community dedicated to elevating the craft of leadership in tech, offering tangible insights you can apply long after the episode ends. It’s for anyone who believes that building great software is inseparable from building great, supportive teams.
Author: Language: English Episodes: 50

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