25 years.
Real products.
Real outcomes.
I'm a product leader who has spent 25 years building technology that moves money, closes deals, and creates genuine value for the people who use it. I've worked from startup environments to Salesforce's enterprise product org — and the work has always been the same: understand what someone needs, build the simplest thing that delivers it, and make it work at scale.
At Salesforce, I led product strategy for Commerce Cloud Subscriptions, Salesforce Tax, and Einstein personalization features — navigating 10+ teams and multi-cloud dependencies to ship capabilities that touched billions in commerce transactions. I learned firsthand what it takes to get AI features trusted, adopted, and actually used.
Now I work with companies navigating the AI transition: helping them move from "we should probably use AI" to "we just shipped something our customers can't imagine living without."
At a Glance
25+
Years Building Products
10+
Teams Led at Salesforce
3
Major Platform Launches
Indy
Indianapolis, IN
Where I've Built
Head of Product, Platform
Leading platform product strategy at Arrive AI.
Senior PM, Commerce on Core
Cross-cloud initiatives at the intersection of Commerce, Revenue Cloud, and Payments. Launched Commerce Subscriptions and Salesforce Tax (Stripe-powered), plus Internationalization and Promotion Configuration. Secured alignment from 10+ teams and GM-level stakeholders.
Senior PM, Personalization Builder
Owned Web Recommendations, Email Recommendations, Behavioral Triggers, and the Marketing Cloud web beacon. Collaborated with Ticketmaster and Adidas to co-develop high-impact personalization use cases. Co-led product work that evolved into Einstein Content Selection.
Platform Director
Designed and scaled REST APIs for Guided Selling tools used by Amazon, Walmart, and Best Buy. Built backend systems that became core to Salesforce's personalization and recommendation engines.
Product Philosophy
01
Signal Over Noise
Most AI features fail because they solve interesting problems, not important ones. I start with customer pain, not technical capability. Shiny tech with no clear job to do is a liability, not an asset.
02
Explainability Earns Adoption
Users trust what they understand. Building transparency in from day one isn't optional — it's the difference between a feature and a product. If people can't explain why it works, they won't rely on it.
03
Shipping Is the Strategy
The best strategy is one that ships. I keep teams focused on delivery because learning in production beats planning in spreadsheets every time. Bias for action, respect for quality.
Want to work together?
Let's talk about your AI product challenge.