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Is a technical background (ML, data science, engineering) a hard requirement for AI PMs, or can strong product instincts compensate? Where do you draw the line?

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  1. Vik Chaudhary
    Vik Chaudhary

    The Biological Computing Company VP Products and Strategic Partnerships • 3mo

    Yes, it is a strong requirement to have a science and engineering background for AI or deep experience in the field. Look at the areas that power AI applications below, this was communicated by Jensen Huang, NVIDIA's CEO, at NVIDIA's annual conference, GTC 2026. An AI product manager has to understand at least 2 layers below the layer that product that they are building is at. Energy: Electricity generation and cooling infrastructure that powers AI systems Chips: GPUs and accelerators that conve ...Read More

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