I design the systems underneath the product.
Product Designer and design systems specialist based in Ventura, California, with 10+ years across enterprise B2B products, consumer products, design systems, and AI-native tooling. Aaron works where design meets engineering — token architecture, governance, design-to-code pipelines, and the machine-readable systems that let teams move faster without losing coherence.
Most recently he led design systems and product design at Warner Bros. Discovery. He now works independently — architecting design systems, building AI-native prototypes, and producing interactive work in Rive, recently for Loops.
Over the years Aaron has designed products, platforms, and design systems for Warner Bros. Discovery, AWS, Amazon, Dell, GoDaddy, and Volvo, with earlier work spanning Verizon, Red Bull, WeWork, and the NFL. His work lives mostly in brand-led and enterprise-scale environments — internal tooling, content and licensing platforms, and the systems that hold them together.
At Warner Bros. Discovery he architected and piloted "Water Tower," a design system for a 0→1 content sales and licensing platform, driving adoption across internal tools. At AWS he led the redesign of Amazon's headcount tool, Roster — designing with generative AI and for machine-learning-driven workflows in a high-stakes enterprise context.
A central thread runs through all of it: building systems that help design and engineering work more closely together — foundations, tokens, components, documentation, and the pipelines that reduce friction between a design decision and shipped code.
For Aaron, systems aren't only about scale. They're about alignment.
Alongside systems work, Aaron brings a product designer's eye to every project — how people move through enterprise complexity, how interfaces communicate, and how a design decision holds up once it's code. The aim is work that's clear, useful, and considered from the first token to the final interaction.
His approach is shaped by systems thinking, honest craft, and a working fluency with the tools reshaping the discipline — designing and building with AI, not just around it. He values structure, close collaboration across engineering and product, and turning organizational complexity into something clearer, more consistent, and ready to evolve.
Outside client work, Aaron builds to learn. He develops a point of view on AI-native design by getting hands-on — training small machine-learning models, prototyping with Claude Code and Cursor, and producing interactive motion work in Rive. Recent explorations include PatternSort, a UI-pattern image classifier built to go through the full model-training pipeline end to end.
The through-line is the same as the day job: staying close to how things are actually built keeps his systems thinking honest.
PatternSort Going live soon!