I turn ambiguous problems into products people rely on — and love. Customer-first, from the first line of code to AI platforms shipped and scaled from zero.
A few things I've built end to end. The through-line: customers, AI, and shipping past the messy part.
Product Manager, SaaS & AI/ML — CIRA · 2022–2026
Launched CIRA Hub from 0→1: a cloud-native platform (AWS, React) that unified multiple cybersecurity products into one experience, with real-time analytics so customers could act in the moment. Owned it end to end — discovery, personas, UX, business case, launch, and growth.
Impact: $2M+ ARR, onboarding time cut 30%, and a faster time-to-value across the portfolio.
Product Manager, SaaS & AI/ML — CIRA · 2022–2026
Defined and launched an AI recommendation engine connecting products across the portfolio — turning signals from one product into personalized recommendations and training in another. It became a key competitive differentiator and a cross-sell path. Also shipped an enterprise AI support agent for self-service and guided troubleshooting.
Impact: self-service adoption up 40%, churn held under 8%, contributing to 25–30% revenue growth.
Product Owner & Engineer — L3Harris (FAA / NATS) · 2016–2021
I began in software for air-traffic management — high-stakes, heavily regulated, no room for error — then moved into owning delivery for FAA and NATS releases. Cut software defects 40% over two years and automated the pipelines that got deploy time down 60%.
What it gives me as a PM: engineers trust me because I've been one, and I sweat the details that keep products dependable for the people using them.
Ten-plus years across engineering, product, and founding — one continuous move from building systems to building products.
Focused on AI product management: build-vs-buy calls, unit economics, evals, and shipping AI features that hold up in the real world.
Launched CIRA Hub (0→1, $2M+ ARR), a cross-product AI recommendation engine, and an enterprise AI support agent — adoption up 40%, churn under 8%.
Ran ML-driven growth across a global consumer SaaS portfolio — churn down 20% with churn/intent models, trial-to-paid conversion up 15%.
Owned backlog and delivery for FAA and NATS critical systems under strict regulatory requirements — software defects down 40% over two years.
Built backend tools for real-time embedded systems and automated CI/CD — deploy time down 60%, manual ops down 50%.
The fastest way to get the gist — how I think about product, in my own words.
Where I'm strongest, and why it's a fit for AI and growth-focused product teams.
Comfortable in the ambiguous early phase — finding the real problem, cutting scope, and shipping the first version that earns its keep.
Build-vs-buy-vs-integrate, unit economics, eval frameworks, and the edge cases that decide whether an AI feature survives contact with users.
A/B tests, churn and intent models, cohort analysis — I find where the funnel leaks and validate the fix before betting the roadmap on it.
Former engineer who shipped in high-stakes, regulated environments. I speak the team's language, earn their trust, and turn technical depth into products that hold up for customers.
What I build when nobody's assigning the roadmap — usually the fastest way to see how I think.
Built end to end with AI tooling — problem, design, and code — for paramedical and wellness practitioners (massage, physio, chiro). Live with a first paying pilot customer. Proof I can go idea → shipped solo, not just spec it.
A genuine AI enthusiast — I lean on LLM-based workflows to compress discovery and prototyping, and vibe-code chatbots and small tools on the side. Fastest way to understand a problem is to build a rough version of the answer.
I'm open to Senior PM roles — AI and data products especially. Résumé's one click away.