I work as a PM for a product and I spend my time in with user researchers, product designers, marketing, define features and get them implemented with engineers & partner with different teams.
I have been trying to get a sense what product managers in an ML/AI platform team do or any Azure/AWS team in general. Can you describe your work day?
Please reply with sane responses, no troll.
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Like with any other technology, it is also important to have some (if not deep) understanding of the underlying technology so you know it's limits and potentials, make the right tradeoffs, and having useful conversations with your research, data scientists, and engineers.
For a platform product, you are typically trying to build Lego blocks that others would build upon, so you need to think about their use use cases and their customers use cases. Platform products need flexibility, extensibility, ecosystem support etc. Pms in platform products will help drive those - what kind of Lego blocks to provide, what kind of cuatomizability, extensibility etc.
I have worked in both product and platform worlds, and day to day is probably not be that different. But as I mentioned before, the nature of the beast is different, so how you prioritize features, the customers, and ecosystem differs, and as a pm you need to become an expert there.
This is a great topic though, and I have given talks on this, but only so much I can type on blind here.