Staff Software Engineer, Airfam Products
AirbnbUnited StatesPosted 19 March 2026
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
The Airfam Products team exists to make every Airbnb employee more productive through a unified digital headquarters experience. As part of a 10-person cross-functional team of engineers, designers, researchers, and product managers, you'll work on platforms that serve Airbnb's entire global workforce.
Our portfolio includes One Airbnb (the company's internal cultural hub with enterprise search, people profiles, and AI-powered chat), OneChat (Airbnb's enterprise ChatGPT enabling secure LLM interactions), and a suite of tools that power how employees discover information, connect with colleagues, and get work done.
You'll report to the Engineering Manager and partner closely with the Employee Experience Tools Technologies (TNT) team, Product Managers, UX Designers, and Data Scientists. Our team is at the forefront of AI-powered employee experience innovation, building systems that transform how thousands of employees engage with work daily.
The Difference You Will Make
As a Staff Engineer on the Airfam Products team, you'll be the technical backbone for Airbnb's next generation of AI-powered employee experience platforms. Your work will be a force multiplier for the entire company—every tool you build, every architecture decision you make, and every engineer you mentor will amplify productivity across Airbnb's global workforce.
You will:
Shape technical vision for platforms that serve 10,000+ employees across multiple regions
Drive company-wide impact by defining how AI and LLM technologies are integrated into the employee experience
Elevate engineering excellence by establishing best practices, architectural patterns, and quality standards that influence teams beyond Airfam Products
Transform prototypes into production by taking AI-powered innovations from concept to enterprise-grade deployment
A Typical Day
Lead the technical vision and architecture for Airfam Products' platform, ensuring scalability, reliability, and maintainability across a multi-cloud environment
Partner with engineering directors and cross-functional leaders to align platform investments with Airbnb's strategic priorities
Architect and implement production-ready AI/ML-integrated systems, including LLM-powered features for OneChat and enterprise search
Drive cross-organizational technical initiatives, coordinating with Infrastructure, Security, and Product teams to deliver company-wide solutions
Mentor and develop engineers across multiple levels (L7-L9), conducting design reviews, architecture discussions, and providing hands-on guidance
Define and evolve engineering best practices, establishing standards for testing, observability, and operational excellence
Evaluate emerging technologies and AI development strategies, determining how to leverage innovations like agentic development and coding assistants
Troubleshoot complex production issues, leading incident response and driving durable remediation through root cause analysis
Balance hands-on technical contributions (code reviews, system design, debugging) with leadership activities that multiply team effectiveness
Represent Airbnb engineering at internal forums and, when appropriate, at external conferences and industry events
Your Expertise
Required:
10+ years of software engineering experience, with 5+ years working on distributed systems at scale
Track record of leading complex technical initiatives from concept to delivery at cross-team or company-wide scale
Expert proficiency in modern programming languages such as TypeScript, Python, Go, or Java
Deep experience with cloud infrast ... (truncated, view full listing at source)
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