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AI Product Management
What's your framework to prioritizing needs/deliverables when you're the first Product Manager at a company establishing the function?
Hard to notice that Product Management interviews require a ton of practice! Any resources for budding/ aspiring Product Managers ? Alternatively, any platforms that you are aware of, where folks can get Prod Mgmt experience by enrolling in projects?
What metrics do ML product teams look at to define success? Which do you find to be the most important?
What are the challenges in implementing an ML feature in a product? who takes the decision to determine what type of ML feature would help the product and how to solve the problem related to it? How closely AI PM works with Data scientists?
What level of hard/technical skills should someone aim to develop to thrive as an AI product manager?
What are the different types of AI Product Managers. Are we going to see a role that's similar to a Technical Product Manager focused towards the data science team?
My question is more to understand if a PM needs to understand the AI concepts to be a successful AI PM?