Deep dives into design challenges at eBay: from AI-driven seller tools to data-powered dashboards, each rooted in design thinking and measurable outcomes.
Team enablement across 5 departments, four company-level AI efforts, and the governance and guidance that makes it all reusable. Starting with the human need. Scaling what works.
10 AI agents built and launched across 4 HR organizations. Helping employees find answers faster, complete HR tasks, and navigate complex processes without opening a support case.
Reimagined eBay's listing creation experience using AI to reduce friction, boost confidence, and cut listing time, without sacrificing seller control.
Redesigned eBay's advertising workspace by giving paid campaigns their own dedicated tab in Seller Hub. A clearer path from performance to action, powered by AI-assisted insights.
Transformed eBay's post-cart review experience from 966px of repeated controls into a 316px decision-focused flow. New information architecture across 3 platforms. AI layer designed for trust, not novelty.
Deep expertise across design systems, research, and mobile, built over a decade leading product design at Yahoo! and eBay.
From Yahoo! Mail style guide to a full DSP design system to eBay's component library. Component reusability scaled by 30% across 5 product teams.
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100+ user sessions across Yahoo! and eBay: diary studies, contextual inquiry, usability testing, and behavioral analytics, all feeding directly into product decisions. Research isn't a phase; it shapes every step.
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Designed Yahoo!'s DSP app natively for iOS and Android, turning complex campaign management workflows into a fast, thumb-friendly experience. Advertiser engagement up 27%, renewal rates up 15%.
Explore Mobile Design →A curated collection of Yahoo! work spanning analytics, ads platforms, rebranding, accessibility, and international design, built over 12+ years leading product design across the Yahoo ecosystem.
Over twelve years in product design has taught me that the principles matter more than the tools.
The most impactful design decisions I've made were subtractive. I start every brief by asking what the user has to do that they shouldn't. The Yahoo Ads Tables redesign removed 6 data columns before adding a single new one. The metrics proved the edit.
Especially in AI products. Users don't need a perfect output - they need to understand and control it. I've rejected technically-superior features because they removed user agency. Confidence builds retention. Control builds confidence.
Not as a formality - as a discipline. When I run 14 user interviews and find that high time-on-screen is friction, not engagement, that insight reframes the entire project. I don't design from assumptions. I design from what I observe, then I measure whether I was right.
I've delayed launches, cut well-built features, and pushed back on product scope - when the evidence supported it. Leadership isn't consensus. It's making a specific call, documenting why, and standing by it through the numbers. Then updating when the numbers say you were wrong.
Velocity matters. But shipping something that damages trust costs more than the delay you avoided. The bar isn't perfection - it's confidence that the user's experience of the edge cases won't undo everything the core experience built. I hold that bar and protect it.
"Design thinking isn't a phase you complete. It's a practice you sustain. Every user conversation, every failed prototype, every metric after launch is part of the same continuous loop. AI has compressed that loop in ways I find genuinely exciting - but the discipline that makes it valuable hasn't changed: understand the human problem before reaching for the tool."
I'm a Product Design Lead with 12+ years of experience, currently open to senior IC and lead roles in product, AI, or platform design. I bring research depth, AI design expertise, and a track record of shipping features that move metrics.