What a CTO Learned at Nvidia About Managing Engineers

What a CTO Learned at Nvidia About Managing Engineers

In this New Stack Makers podcast, Xun Wang, CTO of Bloomreach, brings insights from his time at Nvidia, particularly lessons from its founder, Jensen Huang, to his current role in e-commerce personalization. Wang emphasizes structuring organizations to reflect the architecture of the products they build, applying a hands-on, detail-oriented approach that encourages deep understanding of engineering challenges.

He credits Huang for teaching him the importance of focusing on fundamental architecture rather than relying on iterative testing alone. Wang highlights the impact of generative AI (GenAI) on Bloomreach, explaining how AI-driven search is essential to understanding human language and user intent. As GenAI reshapes application development, Wang stresses the need for engineers to adopt new skills in AI manipulation, while still maintaining traditional coding expertise. He advocates for continuous learning, acknowledging the challenge of staying updated in a rapidly evolving field. Wang, himself, reads extensively to keep pace with innovations, underscoring the importance of staying curious and adaptable in today’s tech landscape.

Learn more from The New Stack about Entrepreneurship for Engineers:

How to Grow into Leadership

Engineering Leaders: Switch to Wartime Management Now

How Teleport’s Leader Transitioned from Engineer to CEO

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Why MotherDuck refuses to fork DuckDB

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At a recent MCP developer summit, The New Stack spoke with Till Döhmen, AI lead atMotherDuck, about the company’s growing role in the evolving DuckDB ecosystem. Backed by investors includingTomasz Tun...

27 Touko 27min

JetBrains is selling independence as the rest of AI coding picks sides

JetBrains is selling independence as the rest of AI coding picks sides

JetBrains is positioning itself as the last major independent AI coding-tool vendor in a market increasingly tied to hyperscalers and foundation model labs. Speaking at Google Cloud Next, JetBrains VP...

21 Touko 26min

Why Block handed Goose to the Linux Foundation

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What began as an internal developer tool atBlockhas evolved into a broader open-source initiative with industry backing. Goose, Block’s AI coding agent, followed a path similar to Amazon’s transformat...

15 Touko 19min

Fivetran's CPO: closed data stacks won't survive the agent era

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At Google Cloud Next 2026, Fivetran Chief Product Officer Anjan Kundavaram argued that enterprise data systems are unprepared for the scale of AI-driven analytics. Unlike humans, AI agents can generat...

13 Touko 22min

The new FinOps problem isn't cloud bills

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At Google Cloud Next 2026, Finout co-founder and CEO Roi Ravhon and Google Cloud FinOps lead Pathik Sharma discussed how FinOps is rapidly evolving for the AI era. Ravhon argued that while cloud FinOp...

12 Touko 28min

How Microsoft is governing thousands of Kubernetes clusters without manual intervention

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Managing Kubernetes at fleet scale introduces significant complexity, especially as organizations expand from a few clusters to hundreds or thousands across cloud, on-premises, and edge environments. ...

7 Touko 25min

Why long-running AI agents break on HTTP and how Ably is fixing it

Why long-running AI agents break on HTTP and how Ably is fixing it

In this episode ofThe New Stack Makers, Matthew O’Riordan, CEO of Ably, explains how infrastructure originally built for human collaboration is now well-suited for long-running AI agents. While Ably i...

6 Touko 31min

Why the Linux Foundation adopted MCP, with Jim Zemlin and Mazin Gilbert

Why the Linux Foundation adopted MCP, with Jim Zemlin and Mazin Gilbert

Agentic AI is advancing rapidly, with open-source projects racing to keep pace with real-world deployment. To accelerate progress, the Linux Foundation consolidated key technologies—Model Context Prot...

6 Touko 32min

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