Designs that ship.
Interactions that feel right.

Toronto, ON 🇨🇦

Hi, I'm Ibrahim, a senior product designer. I design AI-native product surfaces, conversion-led flows, and the systems underneath them. If you need someone to research a fuzzy product problem, reason through the tradeoffs, and ship a crafted, measured answer, that's me.

Summary

Ibrahim Awad is a Senior Product Designer based in Toronto, Canada. He is currently Head of Product at Zown and was previously at Drop, where he built Cardify, an alternative-data publication whose reports were cited by The Wall Street Journal and the European Central Bank.

He specializes in motion-led product design, OKLCH-based design systems, design engineering (React, TypeScript, Framer Motion, View Transitions API), and AI-native product design. He is open to senior IC Product Designer roles based in Toronto, or remote across North America (TN-eligible for US-based positions).

Selected work

AI Home Search at Zown, a layered AI parsing system (regex → light AI → strong AI) with a custom React component that types queries synced to a video timeline.
Qualification at Zown, a form redesign that lifted conversion by 25%, written up as an honest failed-test pivot with a 2.3× segmentation-signal side win.
Cardify at Drop, editorial design system and distribution operations, with one report cited by an ECB Executive Board member at Columbia University.
Sidenote, browser extension for design feedback built on a severity × intent grammar, OKLCH design tokens, and the View Transitions API.

LinkedIn Resume

What made it out

Four projects below, across real estate, fintech, design tooling, and B2B research. Different industries, same job: making complex products easier to use.

Increasing conversion by +25%

Started with the wrong hypothesis. Ended with +$37K/week.

A search that pays for itself

Most queries didn't need AI. The trick was knowing which.

A grammar for design feedback

Turning scattered design review into structured, anchored tickets.

A B2B funnel disguised as a publication

Turning complex data into clear, actionable card interfaces.

How I work

Foundation first: a tight design system and a clearly framed problem. From there, AI lets me explore in parallel, refine in Figma, and polish to taste.

Building design systems that are predictable and AI native

Prototyping solutions with the design system & components

Refining some of the ideal solutions in Figma for production parity

Iterating on micro-interactions until they feel right in keyframes.

Fun is the point

I enjoy making good experiences. It's my own way of gamification: tuning small systems until they feel right, then making sure people feel that on the other end.

Designs that ship.Interactions that feelfeel right.