Talks
Product development changed.
Most companies didn't.
A keynote for tech leaders and engineering teams on AI-native product development — what's actually changing, why most AI transformations fail, and what it looks like when it works.
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What the talk covers.
AI tools are everywhere. Most companies have them. Very few companies have changed how their teams actually work — the handoffs, the product decisions, the feedback loops, the relationship between what engineers build and what users need.
The product engineer role — one person who owns both product thinking and engineering execution — is not a trend. It's the structural response to a world where AI removes the cost of building but not the cost of building the wrong thing. Teams that figure this out ship faster, waste less, and make better decisions at every level.
This talk is about what changes when you take that seriously: how teams are structured differently, how decisions get made closer to the work, how AI stops being a tool layered on top of old processes and becomes woven into how the team thinks.
What audiences leave with
Not inspiration. Clarity.
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A clear mental model for what "AI-native" actually means at the team level — not the tool level
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The specific foundations that make AI amplify good work instead of amplifying problems faster
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A diagnostic lens for their own team: where they are on the spectrum, what the blockers are
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Concrete examples from teams doing this well — not hypotheticals or case studies from a slide deck
Formats
Flexible. I adapt to the room.
Conference keynote
30–45 minutes. Built for mixed audiences of engineers, PMs, and leaders. High-level thesis, concrete examples, actionable framing.
Leadership offsite
45–60 minutes + Q&A. For CTO/VPE audiences who want to think through the implications for their specific organisation, not just hear the thesis.
Company all-hands
30 minutes. For companies mid-transformation who want an outside voice framing what they're doing and why it matters.
Workshop extension
Talk followed by a hands-on session where the team applies the framework to their own context. Half-day format. Limited availability.
Why me
Practitioner, not pundit.
I'm not a consultant who theorises about AI transformation. I'm a product engineer doing this work with real teams right now — shipping code, making product decisions, and figuring out what AI-native actually looks like in practice. I host The Product Engineers Podcast and have been writing about the convergence of product and engineering since before "AI-native" was a buzzword.
Host of The Product Engineers Podcast
Past talks
Building the track record.
First talk delivered April 2026. Case studies and testimonials will be published here as engagements are completed.
Let's talk about your event.
Tell me about the audience, the format, and what you're trying to achieve. I'll tell you honestly if this is the right fit.
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