Building AI products for the next era of digital commerce. I connect customer needs, emerging technology and thoughtful design to turn ambitious ideas into useful products.
I’m a product leader, technologist and former digital marketing agency leader. My career started with understanding how people discover brands. At 360i, I led the SEO practice for Fortune 100 clients reaching over 430 million searchers annually. That experience still shapes how I approach products: start with the customer, understand the problem and make the next step clear.
At BrightEdge, I moved from advising clients to building products. I developed automation tools for enterprise teams and led the go-to-market strategy for a product that grew 5x in active installs and MRR over six months. It taught me to connect technical possibility with something people would adopt and use.
Today at Profitero+, I lead AI product strategy across commerce intelligence, content optimization and user experience. I took Content Optimizer from concept to 100+ enterprise customers. My work now connects shopper intent, brand visibility in AI shopping and digital shelf performance—helping brands see where they’re missing opportunities and what to improve.
I also build systems that coordinate AI agents across planning, development and review. Shared standards, independent evaluation and human oversight make product innovation repeatable, with learning carried forward into the next piece of work.
Curious, collaborative and creative, with real fire in the belly. I enjoy moving between customer needs, product vision, design detail and hands-on experimentation—and working with people who challenge my assumptions and make the work stronger.
Connecting customer needs, commercial opportunity and emerging AI capabilities. Leading teams from discovery through delivery, with a clear product vision and practical priorities.
Helping brands understand how they appear in AI answers and shopping recommendations. Connecting that evidence with shopper intent, content gaps and digital shelf performance to guide what to improve.
Turning complex data and workflows into clear, useful experiences. Bringing product strategy, design systems and hands-on prototyping together so customers can move from insight to action.
Building workflows that coordinate AI agents across planning, development, testing and review. Making innovation repeatable through shared standards, continuous learning and human oversight.