I build the consumer health experiences that turn a one-time test into a subscription people keep paying for.
16 years building consumer products; 5+ leading a product org of 60+ through layers of management. And a rarer second seat: I still build the products myself, taking an idea to something real people use in days, not quarters.
A terrific product leader with excellent executive presence: calm, organized, and professional.
The genome is sequenced once. The relationship has to be earned every month.
Everything after the test is a subscription question: does this keep producing something worth paying for? The category just watched its largest player fail that exact transition, which makes the answer matter more here than almost anywhere in consumer health. I’d arrive with hypotheses, not answers. Here are three I’d pressure-test first, each written as an experiment I could stand up in days.
A subscription whose value compounds gets judged in its shortest window. The first thirty days should be a guided path to one decision, not a marketplace to browse.
Per-report purchases ask “do I pay again?” at the moment a customer should be asking “what do I do next?” The a-la-carte layer may be taxing the habit it should be building.
After a bankruptcy put 15 million genomes into a court proceeding, privacy stopped being a compliance page and became a conversion lever. Privacy Forever belongs at the moments of hesitation.
Proof I’ve shipped this pattern: complex data, made simple, at consumer scale.
Turning data nobody can read into a score a family acts on.
Families can’t tell at a glance whether a food fits every household member’s needs. The data exists. It is unreadable at the moment of decision.
Built the LLM- and vision-powered scan-to-score experience myself with agentic AI (Claude Code): concept to a functional MVP, with no standing engineering team.
A working consumer PWA, in beta with about 250 users. Roughly 75% are still active while I validate willingness-to-pay ahead of a subscription launch.
I ran a test replacing the numeric health score with a qualitative label, on the hypothesis that a bare number creates score anxiety and suppresses return visits after a bad day. Genomic risk has the same problem, harder, because the number is about disease.
An LLM product all 350 employees use, and the governance that let them.
Designed and shipped Spot, an LLM product adopted firm-wide, and framed its value in unit economics rather than novelty. I also set the AI governance and responsible-use standards adopted across product teams: the same discipline that keeps AI trustworthy when it runs over sensitive data.
Framed for adoption as “token spend vs. the cost of an unprepared renewal.”
Recurring revenue in a regulated consumer health market.
Consumer insurtech: a connected smart toothbrush and app tied to recurring dental-insurance pricing. Launched partner onboarding for both sides, bringing new employee-benefits platforms online to distribute Beam Insurance under insurance regulation.
Built and led a 60+ person product and design org, and shipped inside it.
Promoted from Consulting Manager. Hired, coached, and leveled 60+ product managers, owners, and scrum masters through layers of leadership while growing headcount 150%. Hired six designers, including a peer-level UX Director, and set the quality bar the whole org built against.
As executive escalation point I shipped a consumer hospital application for HCA across the US and the UK, reaching 745K monthly active users, partnering closely with security and compliance on HIPAA and GDPR. Sensitive health data, consumer scale, regulated on both sides of the Atlantic.
Idea to working prototype, in days not quarters.
AI isn’t an experiment in how I work. It’s the default. I decompose problems to get high-quality outputs, prototype ideas myself, query data directly, and ship agentic, LLM-powered products. Not just reviewing the work: building it, then leading the team that scales it.
The full track record, at a glance.
Health systems and data security, studied on purpose. It is why regulated health data reads as a product constraint to me rather than someone else’s problem.
Leader and builder, ready to own product and customer experience.
Remote (US), Eastern time. Happy to walk through any of the above, or prototype something live in a first conversation.