How is the PMM field changing with AI?

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4 Answers

AI and Product Marketing Product Marketing Skills

Mallory Sword Glenn

Okta Director, Product Marketing • 11mo

There’s a lot of AI hype but there’s also a lot that’s real. I firmly believe we’re approaching a dividing line in product marketing: those who know how to use AI effectively, and those who don’t. The PMMs who become power users won’t just be faster, they’ll be sharper, more strategic, and ultimately more valuable to the business. Here's how I've been using AI lately (and this is just scratching the surface): 1. Research in hours, not weeksI use AI to generate early signals on things like TAM, p ...Read More

19,294 Views
Reshma Iyer

Grow Progress VP Marketing • 1y

I am beginning to see some shifts like presentations, videos, demo walkthroughs etc. leveraging AI to shorten laborious time spent, which is great! I think applying AI to the next few layers where data and analysis start to paint a picture/suggest a direction could become a game changer for product marketing. In teams where product marketing also delivers on content/creative copy etc., some solid solutions are already available and in use.

1,225 Views
Samridhi Anand

NetraScale Product Marketing Manager | Formerly BeeHyv Software, Debtstream, Willaim O'Neil Inc • Fri

From where I sit and having worked on GTM for GenAI platforms in my past experience, the biggest shift isn't that AI is replacing PMMs. It's that it's raising the bar on what "good" looks like. The work that used to take days (first-draft messaging, competitive summaries, persona research) now takes hours. That's not a threat actually it's a forcing function. It pushes us to spend more time on the things AI can't do: talking to customers, reading the room in a sales call, making a judgment call ...Read More

25 Views
Kuber Sharma

UiPath Sr. Director of Product Marketing | Formerly Salesforce, Tableau, Microsoft • Wed

The biggest shift I'm seeing: PMM is becoming more of a signal interpreter than a data gatherer. AI handles synthesis at scale — the job is increasingly about asking better questions and making sharper judgment calls with the output. Three real changes I've noticed: The research-to-insight cycle has compressed. Win/loss analysis that used to take weeks now takes days. But quality depends entirely on how well you frame the research up front. PMMs who write tight research briefs are extracting far ...Read More

76 Views