Airbnb Staff Software Engineer Community Support Platform 

United States 

911161943

The Community You Will Join:

Some example projects we have shipped:

• Resolution Center experiences that allow hosts and guests to resolve issues among themselves before involving Airbnb, e.g. AirCover for Host intake experience.
• Agent tools that allow agents understand and solve the issues customers can’t resolve with themselves.
• A backend development platform that enables instant creation of resolution experiences.
• Integrations with AI systems to guide customers and agents through the resolution experiences.

A Typical Day:

• Working with cross-functional partners on Product and Design to triage, scope, and evaluate feasibility of proposed features and functionality
• Identifying new opportunities for impact on conversion, contact reduction, or quality and advocating for the staffing and prioritization of these opportunities
• Mentoring engineers across the Community Support Platform Engineering team
• Influencing cross-org Quality initiatives to reduce defect introduction rate, reduce incident detection time, and refine incident response processes
• Being a collaborative teammate that can help elevate the rest of the engineering organization

Your Expertise:

• 9+ years of fullstack software development experience.
• Strong proficiency in at least one major backend programming language (e.g., Java, Kotlin, Scala, Python) and experience with modern frontend frameworks (e.g., React, Angular, Vue.js).
• Proven track record of delivering end-to-end products in a collaborative environment, from ideation and planning to implementation and launch.
• Experience with architectural patterns of large-scale web applications, including well-designed APIs, high-volume data pipelines, and efficient algorithms.
• Demonstrated ability to make data-driven decisions, articulate technical trade-offs, and communicate effectively with cross-functional partners.
• Passion for creating intuitive user experiences and a keen interest in data systems and analytics.
• Bachelor's degree in Computer Science or related field, or equivalent practical experience.
• Experience in developing low-code UI generators.