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.
Bulk of what you mentioned should remain the same. AI and ml are implentarion details but as a product manager you need to find how it will solve a particular customer or business problem. 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.
Thanks man. It sounds kinda far from business and end user, something a dev turned PM would be best suited for rather than somebody with stronger business and design experience.
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You are an engineer with enhanced inter personal, writing, presentation and other soft skills. This is my experience after doing traditional PM for web and mobile products.