The home services industry struggles with uncertainty for both homeowners and pros when it comes to getting jobs done. We are redesigning matching and the end-to-end hiring experience with AI at the core to bring more confidence to both sides: homeowners can describe a problem or project in their own words, a photo, or their voice; and in parallel, we are getting sharper at learning each pro's real capabilities and the jobs/customers they're best for - with proprietary AI matching at the center. This is a full-stack 0→1 transformation of our core product & platform; not just AI bolted on, but a new Thumbtack for homeowners and pros alike.
Led the core of Thumbtack's ~$500M marketplace connecting millions of homeowners with 300,000+ pros. My teams ran across the whole system: search and matching, monetization and pricing, payments and trust & safety platforms, and the data platform beneath it all. Consistently drove 20%+ Y/Y product-led growth through superior matching, optimized marketplace dynamics, and value-indexed monetization systems.

Paying partners and vendors across borders is one of the last genuinely broken parts of business - slow, opaque, expensive, and stitched together from banking rails never meant to work fluidly across geographies. At Routable I led the creation of the company's first cross-border payments product, opening access to a new $35T market: the user experience, API products, and banking integrations that enabled enterprises to seamlessly run mass-payouts internationally. I also built a new PM team around this area from the ground up.

Hypergrowth doesn't scale on one-off features - it scales on platforms that let a company innovate on pricing, packaging, and experimentation quickly and safely. At Dropbox I founded and led two business platform teams from the ground up, back to back: the Billing platform (pricing, packaging, freemium, and promotions) - which helped grow paid subscribers more than 4X and opened new Channel, Reseller, and Enterprise sales motions - and the Engagement platform for experimentation, personalization, and in-product messaging, used by the majority of the product and growth org to run thousands of concurrent tests. And I did it moving fluidly between individual contributor and manager roles (twice) - working hands-on to build from the ground-up, and then hiring + growing teams based on strong early momentum.

Behind every flight search is staggering complexity - fares, availability, and rules changing by the second across dozens of airlines. For eight years I helped build Expedia's proprietary Best Fare Search engine: the flight-search core behind every brand and global entity in Expedia Group, including Travelocity and Orbitz as the company acquired them, at 5.5B transactions a year. I kept it fast and accurate with predictive caching and machine learning, and led the integration of a major new fare-distribution partner, Amadeus, into the North American business - a disruptive shift that became a lasting competitive advantage. My time at Expedia was the foundation of my craft: where I learned to build for scale, and grew from IC into leading a team of technical PMs and airline-industry experts.