The opportunity
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences…
What you'll do
Provide technical leadership across the team's data engineering and analytics: engineering work, spanning cloud cost, traffic & bots, and infrastructure intelligence
Define and own the multi-year data strategy and architecture for Airbnb's: foundational data assets, and build the cross-org consensus needed to fund and execute it
Own how Airbnb measures its AI: the unit economics of training and serving our own models, GPU fleet utilization, and the cost and adoption of developer AI tooling
Design and build the datasets that integrate cost, utilization, performance,: and reliability signals across Airbnb's infrastructure fleets, starting from a blank page
Stay hands-on in the pipelines and models you architect, close enough to the: build to catch the problems design reviews miss
Influence and coach a distributed team of Data Engineers and Analytics: Engineers, raising the quality bar through design and code review and scaling it by building the frameworks and automated checks other teams adopt
What they're looking for
- Navigate conflicting stakeholder requirements across Infrastructure, Finance,: Data Science, and Product Engineering, and land a single definition everyone can build on
- Identify and eliminate duplication and data fragmentation across the: engineering organization, driving deprecation of what your models replace
- Participate in the team's on-call rotation for the datasets we own
- + years of relevant industry experience with a BS/Masters, or 9+ years with a: PhD, in data engineering or a closely related field
