What is the one thing you advice an AI PM to have? How should they differentiate themselves amongst other PMs?

Answer

4 Answers

AI Product Management

Hiral Shah

DocuSign Director of Product Management • 2y

One key thing would be to have empathy for your fellow data scientists. When working with data scientists, remember that simply asking for Level of Effort won't suffice. Feasibility and effort are often exploratory in the AI realm. So, change the language you speak to foster successful collaboration!Shared Understanding: As a PM, it's crucial to ensure that data scientists understand your goals and objectives. Clearly communicate what you're trying to achieve and the assumptions that need valida ...Read More

815 Views
Mike Flouton

Boxford Capital Managing Partner | Formerly Barracuda, SilverSky, Digital Guardian, OpenPages, Cybertrust • 2y

This will be anti-climactic, but my advice is "don't forget you're a PM." Stay laser focused on the customer, their pain and problems and solve the problem. AI is an incredibly powerful tool to solve customer problems, but that's all it is. A tool to solve problems. And it's not always the best tool. We have a beautiful new hammer, don't go around looking for unnatural nails. Work from problem to solution to tech (AI when appropriate), don't start with the tech and work back to a problem.

1,231 Views
Deepak Mukunthu

Salesforce Senior Director of Product, Agentforce AI Platform • 2y

If I were to offer one piece of advice to an AI product manager, it would be to cultivate a deep understanding of both AI technologies and the broader business context in which they operate. This dual expertise allows AI product managers to bridge the gap between technical capabilities and business objectives, effectively translating AI innovations into tangible value for users and stakeholders.

628 Views
Shruti Tiwari

Principal Product Management, AI/ML • 1y

My one piece of advice would be to be outcome-driven. A lot of them don’t make it to deployment or don’t deliver as expected. To ensure that efforts turn into outcomes, be thorough about the user needs. Don’t focus only on the model performance but also make sure that the user interface is smooth. Learning to work well with data scientists and business stakeholders, and proactively solving the potential roadblocks are some ways to succeed as a Product Manager.

247 Views