ServiceNow Director, Product Marketing - Employee Experience & HRSD | Formerly Microsoft, AT&T, Endurance International Group • Jun 18
Can you share examples of how PMM at your company are currently applying AI in product launches, messaging, or customer segmentation?
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We're deep in the middle of it, not on the other side of it. The most concrete thing I can point to is message framework grounding. We've been building infrastructure based on MCP and knowledge graphs that connects our canonical messaging to downstream AI tools, so when someone's generating a first call deck or a sales email, it's pulling from approved positioning — not hallucinating something that sounds right but isn't.504 Views -
Celigo Vice President Product Marketing | Formerly HackerOne, Cohere, Box, Google, Adobe • 9mo
There are a few examples I'll share related to actually building out agents and continuously fine-tuning them. My team is playing with some of these: 1. For Product Launches Build an agent that ingests PRDs, past launch plans, and your tiered launch framework. When a PMM uploads a new PRD, the agent automatically outputs a proposed launch bill of materials (FAQ, blog, enablement deck, battlecard updates). 2. For Messaging Development Create a “message map critique” agent (similar to the Glean on ...Read More
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Okta Dir. GTM Growth Product Marketing • Jun 18
As a Growth Product Marketing team, we've been experimenting on the below areas to help increase our efficiency and scale impact across the business: Hyper-personalized messaging at scale: AI allows product marketers to instantly adapt core value propositions into unique differentiators tailored to specific verticals and segments. By mapping messaging directly to distinct user pain points, product marketers can deliver relevancy at scale. Scalable asset creation: Using AI for content creation i ...Read More
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