AI-Enabled Product & Engineering Leadership
Product Manager. Principal Engineer. Ecommerce Operator.
I’ve led dev teams scaling ecommerce from $0 to $4M+ in online revenue, and contributed hands-on inside ecosystems generating $700M+ annually.
Now I’m focused on something bigger: Operationalizing AI inside real-world product and engineering workflows.
The Transformation is Here and Accelerating
Software development isn’t disappearing. But the leverage point is changing.
The constraint is no longer typing code.
It’s:
- Defining complete system context
- Translating business intent into executable specifications
- Connecting UX, data, and operational realities
- Anticipating edge cases before they become outages
- Designing workflows AI can reliably execute against
The bottleneck is clarity.
What Winning Teams Will Do Differently
The teams that win in this next era will:
- Write specs that include business goals, customer journeys, and unhappy paths
- Model data flows end-to-end, not just API responses
- Understand supply chain and fulfillment impacts before shipping features
- Treat AI as a force multiplier, not a novelty
- Shift developer energy from syntax to systems thinking
This is not prompt tinkering. It’s structured context engineering.
New Roles Based on Systems Thinking
I operate at the intersection of:
- Product strategy
- Technical architecture
- Ecommerce operations
- AI-assisted development
My work is focused on helping teams move from:
Human-written code to Human-defined systems + AI-assisted execution
The future belongs to teams who can define the whole system — from order creation to fulfillment to returns to product reviews — and encode that clarity into their tools.
That is the discipline where there will not be replacement, but instead growth.