"A couple of weeks back, Pranav Pathak, product director at Booking.com, posted about how there is a lot of confusion about what an AI PM is. He started a series where every Saturday, he'll post about a different AI PM role. The posts are extremely informative, but I wanted to share my own opinion about AI PMs after building AI tools on my own and talking to AI PMs from the community."
"An AI PM is the one who uses or builds AI tools to solve a customer problem. This includes the type of problems you solve and the kind of systems you work with. It has nothing to do with knowing Python, training models, or having "AI" in your job title. Here are three factors that distinguish AI PM from PM. 1. Working with probabilistic systems, not deterministic ones Traditional PMs work with predictable inputs and outputs."
AI PMs use or build AI tools to solve customer problems and often work with probabilistic systems rather than deterministic ones. The role does not require knowing Python, training models, or having "AI" in a job title. Five distinct AI PM roles exist, each demanding different skills, instincts, daily activities, outputs, and career progression. Job descriptions that seem unrelated often reflect different AI PM types. Effective placement and hiring depend on understanding the specific problems, systems, and company context that an AI PM will address.
Read at LogRocket Blog
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