Airbnb is a well-known global hospitality company that connects people around the world to unique travel experiences. The company culture values inclusivity, collaboration, and experimentation. As a result, employees are encouraged to take risks and challenge themselves to innovate and come up with creative solutions to problems.

I spent two years at Airbnb on a specialized team that helped every team on Airbnb on six week stints while I worked alongside the DLS team on the design language system in preparation for Airbnb's IPO in 2020. Here are some of the things I worked on in that time.

Airbnb AI Design

At Airbnb, some of the most valuable signals lived inside guest reviews. Guests would mention when Wi-Fi was hard to access, when a pool wasn’t available, or when an amenity listed online didn’t match what they found in the space. Instead of letting that feedback sit after the trip ended, I helped turn it into a product experience that guided hosts toward simple, meaningful improvements.

I worked closely with the engineering team for Pro Host, and Host departments along with Hotels Tonight, an Airbnb subsidiary, to design a system that used AI and LLMs to read reviews and spot repeated patterns in guest feedback. When the system noticed the same issue coming up more than once, it would surface a timely suggestion to the host right where they were already managing their listing. Rather than generic tips, these prompts felt personal and specific—small recommendations that helped hosts make their space clearer, more accurate, and easier for future guests to trust.

For higher-confidence issues, we introduced a lightweight verification flow. If guests repeatedly said an amenity wasn’t actually available, the host could quickly confirm it by taking a fresh photo on their phone. I designed the full journey from the initial prompt to the mobile camera experience and final confirmation, making the process feel fast, natural, and reassuring.

What makes this work special to me is that it shows how AI can quietly improve the experience without feeling technical. The intelligence happens in the background, while the design keeps the moment human—helping hosts present their homes more honestly, helping guests book with more confidence, and strengthening trust across the marketplace.

Over time, this kind of quality loop compounds. Better listing accuracy leads to better guest experiences, which naturally improves review sentiment and booking confidence for future travelers. At Airbnb scale, stronger host quality doesn’t just help one stay—it strengthens the trust layer of the entire marketplace. That trust flywheel was a major part of Airbnb’s IPO-era story: more reliable hosts create better reviews, better reviews drive more bookings, and stronger marketplace confidence ultimately reinforces long-term business growth and company value.