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
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

Requirements

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 infrastructure (AWS, GCP, or similar), including containerization and orchestration (Kubernetes)
Strong background in API design and implementation (REST, GraphQL), with focus on performance and developer experience
Demonstrated experience building and optimizing systems that integrate with AI/ML services and LLM technologies
Experience mentoring engineers at various career stages and driving engineering culture through best practices and documentation
Excellent cross-functional collaboration skills with ability to influence without authority across organizational boundaries
Clear communicator who can translate technical concepts for executives and stakeholders while maintaining technical depth
BS in Computer Science, Engineering, or equivalent practical experience.

Benefits

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineeringdistributed systemsTypeScriptPythonGoJavacloud infrastructureKubernetesAPI designAI/ML integration

Soft Skills

leadershipcross-functional collaborationmentoringcommunicationinfluence without authorityproblem-solvingtechnical visionengineering culturedesign reviewsincident response

Certifications

BS in Computer ScienceBS in Engineering