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?

While I don't believe there are a lot of different types of AI Product Managers, in some large organizations I see two types of AI Product Managers - 1) application focused and 2) AI foundation focused. It also varies based on the size and maturity of the organization. The Application focused AI PM is thinking a lot about how can you leverage the AI to deliver the best customer value, which customer problems can be solved better if we applied AI and then focus on the adoption of AI. The Foundati ...Read More

I think at an even higher level we will actually see at least 3 different approaches to AI product management even in the organization structure itself (not necessarily mutually exclusive): Dedicated AI PMs: Absolutely, more and more companies with dedicated AI product managers Possibly with a further separation in focus areas between internal tools vs. customer-facing AI features And/or different focus areas along the AI stack e.g. infra, MLOps, model-level performance vs. more customer-facing ...Read More

I have seen 4 different types of AI Product Managers: 1. Product focused: Infuse intelligence into products (e.g., search, personalization) 2. Platform focused: Infrastructure & tooling for data scientists and ML engineers to manager ML lifecycle 3. Business/Operations focused: ML to improve product adoption/operations (e.g., customer churn prediction) or business outcomes (e.g., revenue forecasting). This role typically works with data science teams that work on internal optimizations lever ...Read More

I think this is hard to say, but if I had to guess I think this does evolve into a specialized function. At Barracuda we had a platform PM function and I was lucky enough to work with a phenomenal PM who owned threat detection efficacy. He interfaced with our data scientists and ML engineers on a daily basis, and had to be very comfortable with concepts like precision and recall, model retraining, model ops, etc. That said, the LLM cloud providers have made it so easy to consume third party mode ...Read More

There are already Product managers focused towards data science teams in many companies and I am one of them. Generally, I see three different types of Product Management roles emerging with AI - Customer facing Product managers- working with customers to gather requirements and performing functions of traditional PMs Technical Product managers (B2B or B2C) - Working with data science teams to build, validate and iterate the Product Technical Product managers (developer focused)- Building produc ...Read More