Google AI
Principal Designer | 2019 - Present
As the founding designer on the Applied AI team at Google Ads, our purpose was to collaborate with AI research teams within Google like DeepMind, PAIR, Gemini etc, to find interesting needles in a world of haystacks.
Foundational research
In the seminal exploratory research I led with my product partner Autumn Zhang, we uncovered key gaps and AI use cases that could help scale advertisers, and Google.
We worked on the two top priorities from this list.
This was an exciting and arduous journey in research, design, rigor and organizational savviness.
Impact
In our leadership pitch, we signed up for $██ million annual recurring revenue.
We beat the team’s expectations by 16x, and made $█.█ billion* ARR.
These products are foundational to our team’s success & helped cement our position as a leading group in the organization.
*Via randomized controlled trial analysis by Chris Beaumont (Currently at OpenAI).
Designs
The research, use cases and designs are highly privileged and classified. Below are a couple of high-level directional mockups.
Explainable insights
Research backed insight tray with guided defaults to help users understand their market landscape and make meaningful budget additions or shifts.
Thoughtful narrative based experiences like this, visualize insights with a meaningful story that is tailored to the advertisers’ metrics and helps them grow their business and brand.
LLM Design system
Modularized insight parts to inject within as needed within the Google Ads ecosystem.
Creating and growing the language based design system for our Applied AI group.
