Staff Backend Engineer, Core Entities Data Foundation
AirbnbRemote - USPosted 3 April 2026
Tech Stack
Job Description
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 that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
Marketplaces Data and AI is a group of passionate machine learning, software, data, and analytics engineers. We are responsible for developing new, cutting-edge AI and data products that leverage Airbnb’s massive datasets across Users, Listings, Pricing, and Supply/Demand. You will be a crucial part of the Guest and Host organization, developing a semantic model for our Core Entities and Events that powers the experiences of millions of guests and hosts globally.
The Difference You Will Make:
You will own some of the most critical data systems at Airbnb, building a semantic model that autonomously drives both infrastructure and code changes. This role will focus on building new capabilities in our data ecosystem: a platform that proactively detects issues, orchestrates solutions and seamlessly integrates human-in-the-loop workflows for expert guidance. Your contributions will shift Airbnb from storing massive amounts of data to intelligently organizing and utilizing it, empowering our product and operations teams to move faster and deliver a resilient, high quality experience for our global community of Guests and Hosts.
A Typical Day:
Develop an actionable technical strategy from our ambitious vision to drive infrastructure and code from a semantic model of the business
Improve and expand our detection systems to find more complex issues and integrate human-in-the-loop workflows for subject matter expert guidance
Architect and develop systems that autonomously orchestrate infrastructure and code changes based on findings from our detection platforms
Partner closely with Machine Learning, Data Engineering, and Product teams to ensure deep integration in the product space, not just a siloed project.
Identify areas for improvement, champion the adoption of best practices in engineering architecture, perform technical design reviews, and enhance our software engineers across team boundaries.
Research the latest innovations in semantic modeling and AI-driven infrastructure, actively sharing these insights to act as a thought leader within Airbnb’s engineering organization.
Your Expertise:
9+ years of relevant software development industry experience in a fast-paced tech environment
BS, MS or PhD in CS or related field
Expertise with backend systems in large-scale service-oriented architectures
Good judgment in making tradeoffs to balance short-term business needs with long-term technical quality
Strong understanding of how deep backend systems are expressed in the UX shown to customers
End-to-end mentality that transcends team boundaries and helps find globally optimal solutions
Excellent communication skills and the ability to work well within a team and with teams across the engineering organization
Passionate about efficiency, availability, system quality and user experience
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.
Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list
. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow ... (truncated, view full listing at source)
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