Enterprise SaaS & AI
I lead cross-functional teams to ship complex enterprise products — from pre-MVP through global release — integrating AI into production workflows and driving adoption through structured discovery and pilot-driven iteration.
Who I am
I am a Senior Product Manager based in San Jose, California. For the last several years I have led enterprise technology products at Anywhere Real Estate, first re-platforming a native mobile app used by 185,000+ annual users, then taking an enterprise SaaS platform from pre-MVP through release across 5 markets.
My work sits at the intersection of business outcome, user need, and technical feasibility. I run structured discovery, design pilots that generate real signal, and translate what I learn into roadmaps that multiple teams can execute against.
Outside of my day job, I build side projects to stay close to the technology: AI agents, data pipelines, and trust-and-safety tooling. I prototype, test, and iterate the same way I do at work — by starting with the user and measuring the right thing.
Career highlights
Education & certifications
MS in Management Information Systems — University of San Francisco
BS in Business Administration — San Jose State University
Certified Scrum Product Owner (CSPO) · Jira Fundamentals
What I have built
A mix of personal builds and experiments that keep me sharp on AI orchestration, data pipelines, and product judgment under constraint.
Case Study · AI Product
AI · Scoring · Telegram
Homebuyers get 200+ listing alerts a day. Most are noise. I built an AI that reads a buyer's real priorities and delivers the 3–5 homes that actually matter — with the reasoning visible.
Case Study · Data Product
PDF → AI → Tax-Ready Report
I spent 1 hour every month manually reconciling rental statements from 3 different property managers. Now I drag a PDF into a browser and the report is done in under a minute — ready for my accountant at tax time.
Case Study · AI Product
Vision AI · Policy · Human Review
Every album cover uploaded to a music platform ships straight to listeners. You can't review them all by hand, and you can't auto-approve the ambiguous ones. I built a two-stage pipeline that spends money only where the answer is actually in doubt.
What I bring
84
NPS sustained across 185K+ annual logins
60→1
minute operational task cut to under 1 minute with AI
5
major enterprise releases across 15 regional markets
11
cross-functional team members led directly
AI & Platform
Product Execution
Discovery & Insight
Leadership & Communication
What I am looking for next
I am open to Senior, Staff, or Principal Product Manager roles at companies building enterprise SaaS, AI-enabled platforms, or workflow products where product judgment and technical execution both matter.
I want to work with teams that value structured discovery, fast iteration, and shipping products that make operations simpler — not more complicated.