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An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

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The AI Product Manager

Anna Via
9 min readJan 31, 2025

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Picture by Mimi Thian on Unsplash

When ChatGPT was launched at the end of 2022, it started a new chapter in AI. Since then, AI has grown quickly. Almost every week, we hear about new, more powerful models. Millions of people worldwide use these tools daily, and companies are trying to understand how to take advantage of this incredible technology. I say “trying” because although some fields have managed to find great applications for this (coding copilots, marketing, or customer support), many others are still discovering, prototyping, and understanding how to use it and how to deal with the new challenges and risks that come with it (more on this at “2025: AI Eats the World”).

So how can companies close the gap between these powerful models and the potential business value? This is where the AI Product Manager (AI PM) comes in.

An AI PM is responsible for building AI-powered products that solve user problems, and bring business value, while building trust and dealing with the risks of AI.

An AI PM differs from a traditional PM role mainly on the type of solutions their team builds: strong focus on ML & AI models, importance of data for training and…

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Anna Via
Anna Via

Written by Anna Via

Machine Learning Product Manager @ Adevinta | Board Member @ DataForGoodBcn