Runs product across three lines of business, then builds the zero-to-one AI himself.
At StackCommerce, manages internal and external engineering teams and owns the roadmap for the commerce engine 200+ publishers depend on, names like NY Post, IGN, and Mashable, across three lines of business. The AI work runs alongside the classic PM work, not instead of it: an LLM deal-sourcing parser that lifted conversion 5 to 10 points, an in-house drafting tool that cut editorial time 90%. Earlier bets paid back in other ways, a fraud-platform migration worth ~$180K a year. A decade of startup problem-solving on a corporate-entertainment background, now three years deep in building AI systems for real business needs.
Owns the commerce-engine roadmap end to end: the editorial CMS, the partner-facing portal, and the CPC offering that funds them. Runs the cross-functional strategy that turns quarterly business pressure into shippable engineering work.
Ran the in-house Feature Factory on tight, results-driven cycles for B2B and B2C teams. Led the fraud-platform migration and built an LLM data-parsing tool for AI deal sourcing, the two bets that paid back fastest.
Directed CS and Ops past their core KPI targets on CSAT and delivery time, then shipped an AI answer service that quietly took ~20% of inbound off the queue.
Designed and scaled the user-support infrastructure from the ground up, and ran bug triage for the mobile app and SaaS product alongside the CTO and Tech Lead.
A film degree, not a CS one. The systems thinking came from the work: brand-intelligence analysis early on, then building support infrastructure from scratch, then shipping products that had to hold up in production.