Melis Lawlor

Melis Lawlor

Product Designer based in San Francisco, CA

I design systems for builders turning high ambiguity workflows into clear, scalable decisions

Currently designing & shipping Dev AI Tools @Meta

How I work

Systems first

I map workflows end-to-end to identify leverage points before designing interfaces.

AI-augmented craft

I use AI to accelerate exploration and validate system behaviors at scale

Ambiguity as material

I turn ambiguity into decision frameworks teams can execute against

About

Melis Lawlor

Product Designer based in San Francisco, CA

I'm Melis, a product designer focused on tools that help engineers do complex work with more clarity and less friction.

At Google, I worked across developer tools, from debugging and release workflows to dashboards that help teams investigate issues and make launch decisions. Chrome Platform Status was one project within that broader work.

At Meta Reality Labs, I design AI-native tools that support engineers across coding, debugging, automation, and delivering reliable code updates. The work moves quickly, so I partner closely with engineers to clarify emerging needs, prototype possible directions, and make design decisions while the product is taking shape. As the sole designer in my organization, I've helped make discovery and design review part of that process.

Before product design, I studied Architecture. It shaped how I think about systems: how people move through them, where they lose context, and what helps them take the next step. I bring that same attention to technical workflows, starting with what engineers actually do rather than what a tool assumes they do.

I use AI to explore ideas and build interactive prototypes, moving between Figma and code to test how an experience works. I'm most interested in the point where complex systems become useful: when an engineer can understand the state of their work, trust the next action, and keep moving.

Selected 0→1 AI Systems (NDA)