Chris Conyers
AI-Native Product & Growth Operator
I turn messy business problems, customer behavior, and scattered ideas into workflows, products, and decision systems that create measurable value. My work runs across product strategy, AI adoption, monetization, and growth.
AI is the mechanism. Behavior change is the product. Business value is the outcome.
How I got here
AI gave my thinking a system.
I already read patterns, built, and diagnosed. AI turned those instincts into tools other people can use, and it made me more of what I already was.
The promise I care about is sharper judgment, faster learning, and stronger systems around the work that matters.
What I build
I translate business outcomes into use cases, workflows, requirements, agents, and adoption plans.
Copilots, agents, prompt systems, and decision tools that run as repeatable operating loops.
I connect audience behavior, customer journeys, partner investment, and attribution to revenue.
People adopt tools they trust, understand, and see working in their real jobs. I build for that from day one.
How I think
Diagnose
Find the real friction and the job behind it.
Structure
Turn the mess into a clear spec.
Build
Ship the thinnest useful slice.
Test
Put it in front of a real user and watch it break.
Adopt
Teach it inside the work people already do.
Measure
Prove behavior changed and the number moved.
See how I think, don't just read it
I built a live AI tool that does what I do. Tell it where you're stuck with AI, answer a few questions, and it hands you a build readout in 5 minutes: what to make, the first moves, the risk, and the metric to watch.
This is the centerpiece. A recruiter who runs it has already seen me work.
Selected work
Enterprise
First-party behavioral data was undermonetized and siloed across teams.
Built commerce media architecture connecting audience intelligence to partner investment and revenue attribution.
Revenue infrastructure that holds under scrutiny and shapes where investment goes.
Attribution was messy, and investment decisions lacked behavioral grounding.
Designed multi-touch attribution frameworks anchored to real customer behavior and business outcomes.
Frameworks that survive scrutiny and inform where the money goes.
Where I'm going
AI product strategy, enterprise AI adoption, and growth systems for teams working through ambiguity. The work that turns AI capability into something people trust, adopt, and measure.
Let's talk
I'm looking for AI product and growth work where the job is turning ambiguity into systems people use. If that's the seat you're filling, let's talk.