Impact of AI on Product Management

Redefining PM in the age of advanced AI models

Overall, a product manager in the AI space still needs to go through the traditional product management lifecycle — identifying a user problem space, building the what/why/who/how around it, working with engineering and design to find the least resistant experience for the user and more. However, whilst working with AI, you as a PM shall also help your data science and engineering teams determine the right AI model/s for the challenge, help find and train domain-specific data, help iterate on the output of the model/s, smoothen out the edge cases, hyper-test and validate the experience and just be prepared to encounter and hack complexities that befit such an innovative ecosystem.

Hopefully this article demystifies your tryst with AI as a Product Manager. Leave a comment if you’ve any other insight that I’ve missed here!



Product @Microsoft |

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store