Practical strategies for using AI in product marketing — from pipeline creation to category design. For PMMs who want to stay ahead of what's coming. Bi-weekly. Always free.
Positioned is written by someone who actually uses AI in a PMM workflow every day — not as an experiment, but as a core part of how I do competitive intelligence, positioning research, messaging iteration, and launch execution.
Each issue covers one specific, practical angle: a tool that changed my workflow, a framework that got better with AI, a type of output that AI handles well (and one it doesn't), a pattern I've noticed in enterprise AI adoption that I haven't seen written about clearly.
It is not a news digest. It is not a list of prompts. It is a practitioner writing for practitioners — with the expectation that you're already smart and just want the signal without the noise.
How I actually use Claude, Perplexity, and NotebookLM in a real PMM workflow — what they're good for, what they're not, and where I've changed my approach.
Using AI to stress-test value propositions, run competitive analysis, and find the framing that lands. With real examples from products I've worked on.
What actually happens when you try to sell AI products to enterprise buyers. The gap between the demo and the deployment. What changes the deal.
The fundamentals of positioning, messaging, and launch strategy — and how AI is changing which parts matter most and which parts it can accelerate.
I'm Kuber Sharma — Sr. Director, Product Marketing at UiPath. I've spent 20 years launching enterprise AI products at Microsoft Azure (Azure ML, Azure Synapse), Salesforce/Tableau (Tableau AI, Data Cloud Zero Copy), and UiPath (Autopilot, Agentic Business Orchestration).
Before tech, I was a TV producer and journalist. I write because the gap between how AI is marketed and how it actually works in production is enormous — and someone who's been on the inside of three enterprise AI launches should say so clearly.
Bi-weekly. Free. No noise — just the things I'd want to know if I were you.
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