I help teams build great products in the AI era—without losing the craft. Bridging the gap between technical potential and customer value.
8 years
Engineering background
10 years
Product leadership
Now
AI-native products
From "what's possible" to "what's valuable" to "what's shipped." I bridge the gap between technical potential and customer outcomes.
I speak both languages—product and engineering. From discovery to deployment, from user research to model evaluation.
Playbooks for teams adapting to agentic workflows—from executor to architect, from roadmap owner to system designer.
Case studies and experiments
Lessons in discovery, validation, and shipping. How to find product-market fit when the technology is evolving faster than your roadmap.
Under constraints, against odds, with a small team.
Operating models, processes, and outcomes.
Writing on AI-native product work, agentic execution, and the future of product craft.
Traditional product management methods break down with AI products. After two years building AI/ML products, here's what actually works and what doesn't.
Most product teams don't fail from lack of talent. They fail because PMs are making decisions without the right information at the right time. Here's what I've learned about building product intelligence systems that actually work.
Running R&D experiments in AI-native product development. Testing what happens when agents don't just assist—they execute.
See what I'm doing nowAI-native product development
What does product work look like when AI handles roadmaps, specs, and code?
The dissolving PM role
What do product managers become as execution becomes agentic?
Multi-agent teams
How do you run a team where most of the "team" is AI?
Open to product leadership roles at AI-native companies.