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
Define and execute the long-term vision and strategy for the Trust Platform,: driving the architectural direction for foundational systems that enable scalable, high-quality fraud, safety, and trust decisioning across Airbnb, and are broadly leveraged across tech organizations
Dive deep into Trust Platform components, build system and performance: tooling, and identify cross-cutting opportunities to elevate technical quality, operational excellence, and developer delight.
Champion an AI-first engineering approach, using LLM-powered agents to: generate and iterate on code while you focus on problem-solving, system design, and quality oversight.
Partner with technical leaders, product managers, operations, data: scientists, and Trust defense & ML teams to define and drive platform capabilities, tackle evolving fraud threats, and deliver measurable business impact
Lead and mentor engineers across teams, raising the technical bar and: developing the next generation of technical leaders within the trust engineering ecosystem.
+ years of backend & platform engineering designing, building, and operating: mission-critical distributed systems at scale.
What they're looking for
- BS, MS or Ph.D. in computer science or related field, or equivalent work experience
- Proven experience guiding multi-year technical roadmaps: aligning long-term platform vision with day-to-day execution across multiple sub-teams, prototyping to iterate on ideas, and influencing without relying on formal authority.
- Exceptional communication skills, equally effective white-boarding with: senior ICs, partnering with cross-functional leads (Product, Design, Data Science), and presenting strategy to executives and the broader engineering community.
- Obsessed with reliability: deep experience building and improving observability, SLOs, incident response, and resilience patterns (circuit breakers, graceful degradation, chaos testing) to keep mission-critical systems running at the highest bar.
