I TURN
AMBIGUITY
INTO DIRECTION.— building with intention
I'm a product manager drawn to hard problems and unclear paths — the kind that need both creativity and rigor. Photography trained me to notice what others miss, and that's the instinct I bring to product: find the real problem, then build the system that solves it. Right now I'm replacing a 20-year-old platform — the kind everyone quietly works around — with an AI-native one that keeps its own data clean and lets agents handle the work analysts used to do by hand.
PRODUCT
MANAGER— AI · systems · CRE · NYC
Same instinct, different subject. I work close to the problem, obsess over signal, and cut through noise. Most of the job is turning ambiguity into a direction a team can move on — and lately, building the thing myself: the data model, the agents, the workflows underneath. I'm happiest when discovery is real, the constraints are knotty, and the problem is worth staying up for.
STREET
PHOTOGRAPHER— pixel peeping around town
I wander through cities with a camera and the same instinct I bring to product discovery: slow down, observe closely, and notice what everyone else rushes past. Photography taught me patience, precision, and respect for the decisive moment. You cannot fake a great frame, and you cannot fake a real insight.
I wrote the business case that won executive approval to replace a 20-year-old CRE research platform — used by 60+ analysts across 7 US and Canadian markets — with an AI-native research OS. The point isn't a tidier database. I'm redesigning the core data model so AI skills and workflows run natively on it and deliver results to researchers directly, wrapped in a CRUD application that works as the research team's operating system — one clean 360° view from space to market, clean comps and leases, agents served via MCP. I own the roadmap and stay in the build (data model, prototype, QA), and the first agent already running catches what will break in a data import before it lands.
Worked with 15+ small businesses through municipal economic-development programs — market research, segmentation, positioning, and go-to-market. Built competitive analyses and research-backed recommendations that informed pricing, targeting, and resource allocation.
Led cross-functional delivery across planning, engineering, and QA for platforms used by global suppliers and partners. Overhauled a legacy supplier workflow — restoring trust with 20+ vendors and cutting downtime by over 80% — and automated procurement and approval workflows to speed turnaround.
The
Reel.
Builds where the camera gets put down and the builder picks up.
A rental-operations platform built around trust and workflow clarity between landlords and tenants. It started where I like to start — real pain, mapped against the messy workflows people actually live in — then took shape through PRDs, user stories, and automation built on n8n and MCP. Discovery turned into something that runs, not just a deck.
An evolving body of AI-powered systems, workflows, and experiments — prompt architecture, agentic pipelines, automations, internal tools. It's where I pressure-test a belief: AI shouldn't be a surface-level feature. It should be built into how work happens, how products scale, and how decisions get made.
A product concept born from the same instinct as street photography: cities reward people who really notice them. CitySplorer reimagines urban discovery as something playful and intentional — turning wandering into something worth remembering.
Four principles. Both lenses.
Strong product strategy is rarely about adding more. It's about removing noise, sharpening the problem, and making the right tradeoffs visible. I like product work that gets clearer as it gets simpler.
A product no one understands will struggle to move. I treat communication as part of the product itself — discovery findings, a roadmap, a PRD, a recommendation. The narrative has to help people believe in what comes next.
The strongest AI products treat AI as a foundational capability, not a cosmetic add-on. I think about how AI supports workflows, decisions, and user value from the start — and I build it that way.
You cannot fake a real insight. The best decisions come from slowing down and seeing what everyone else rushed past — the same patience street photography demands. Discovery isn't a phase you check off; it's the whole game.
I find the real problem before the team commits to the wrong solution — interviews, shadowing, workflow audits, synthesis.
I think in systems, not isolated features — and I build them. My work sits where AI, workflow design, and product strategy meet.
I use data to clarify tradeoffs and make product conversations concrete — the kind that help teams act, not dashboards that just look polished.
I turn ambiguity into clean PRDs, structured backlogs, and plans teams can trust. Clarity reduces waste and rework.
I bring strategic framing to product choices — prioritization, vendor evaluation, build-vs-buy, aligning direction with business reality.
I connect technical detail with business understanding — helping different stakeholders see the same picture clearly enough to move together.
LET'S
BUILD
SOMETHING WORTH
CARING ABOUT.
I'm open to AI and product roles, and to conversations with people building through ambiguity. If you want someone who'll find the real problem, structure the messy middle, and build the system — not just the slide deck — let's talk.
Open to — AI / Data Product Manager · Technical PM · Applied AI PM
Based in — New York City · open to NYC, remote, and select relocation
Work authorization — Authorized to work in the US