AI practitioner - product | growth career trajectory
I build operating systems that connect product strategy, data science, and go-to-market execution. The work is direct: I write the schema, ship the app, and own the operating cadence around it.
I work as an AI practitioner, not just an AI strategist: translating model capabilities into agentic workflows, decision policies, simulations, and operator-facing software.
Selected operating contexts
Subscription and consumer media
Marketplace design and ecommerce
Performance advertising and CAC/LTV economics
Product, engineering, data, growth, and operations leadership
Where Product Strategy Became Operating Systems
National food ecommerce marketplace
Goldbelly
Head of Growth and Chief Product OfficerLed growth and product work in a marketplace where national demand generation had to connect with merchant supply, gifting occasions, logistics, and repeat purchase behavior.
Subscription media and music technology
Napster
Chief Technology OfficerLed product and technology across subscription music, web, mobile, APIs, and engineering operations during the Best Buy acquisition period.
Consumer identity, social graph, and subscription product
MyLife / Reunion.com
Product and technology executiveLed roadmap, product, and technology work for a high-scale consumer identity and social-graph subscription business.
Local commerce and marketplace operations
BuyWithMe
Chief Product Officer / COOLed product, marketing, design, and engineering in a local commerce marketplace where merchant supply, consumer demand, and city-level execution all had to work together.
Digital media, community, and advertising platform
Interactive One / Radio One
Chief Product and Operating OfficerLed product and operations across digital media properties, community products, advertising systems, and broadcast-linked audience platforms.
Computational advertising and marketplace systems
Propel Media
Product, technology, and growth leadershipBuilt product, marketplace, machine-learning, and growth systems for performance advertising where CAC, quality, pacing, and monetization were tightly coupled.
Core competencies
Product discovery & design
Translate ambiguous demand signals into concrete hypotheses and shipped product loops.
Machine learning & data science
Build practical scoring and simulation systems that improve decision quality, not just analytics dashboards.
Agentic AI implementation
Design and ship agent workflows with explicit policies, audit trails, operator controls, and measurable business feedback loops.
Growth marketing & monetization
Optimize CAC, retention, and LTV with clear measurement and explicit budget discipline.
Engineering & operations
Turn strategy into reliable workflows, instrumentation, and repeatable team execution.
Executive leadership
Align product, data, marketing, and finance around shared commercial outcomes and operating cadence.
How I work
Strategy and execution in one loop
I combine operating strategy with direct implementation so teams get both direction and delivery momentum. No handoffs that lose fidelity between the deck and the deploy.
AI pragmatism, not AI theatre
AI should improve throughput, decision quality, and economics — not add complexity for its own sake. Every system I build can answer "what changed because of this?" with measured outcomes.
Hands-on engineering still
I started as an engineer and still write the code. That depth is what lets me connect strategy to production systems — data contracts, APIs, and operator workflows — without translation loss.
Operator instinct
Most of what I ship is the bit-of-software a small team didn't have time to build: the operator console, the audit feed, the policy engine. The boring infrastructure that makes the agent loop trustworthy.
Let’s collaborate
I take on operator-builder engagements where strategy and code live close together — revenue systems, AI-native operating consoles, marketplace mechanics, lifecycle plumbing. If that maps to a problem you're solving, the contact form below is the fastest path.