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Critical to Airbnb’s mission is being there for hosts and guests in the moments that matter. Ambassador Routing sits at the center of that experience - powering intelligent routing and agent connections so each request reaches the right expertise, at the right time, through the right channel. As Engineering Manager, you’ll lead the team building the next generation of routing and service experiences, including skills-based matching, differentiated service pathways, and capabilities that scale with Airbnb’s expanding products and global footprint.
Job Responsibility:
Lead a team of engineers building routing and decisioning capabilities that improve customer outcomes and operational efficiency
Build and scale Skills Based Routing that better matches contacts to ambassador skills
enable Differentiated Service experiences that appropriately tailor support pathways to customer context - improving quality, speed, and customer satisfaction
Contribute to Airbnb wide initiatives (e.g. Services, Experiences, multi-region resiliency) by aligning team capabilities with shared goals and ensuring smooth integration across dependencies
Raise the bar on technical quality and execution through roadmap planning, clear ownership, and pragmatic architecture and design reviews
Partner closely with Product, Data, Science, Operations, and adjacent engineering teams to drive success metrics (e.g., NPS, CSAT, time-to-resolution)
Champion customer-centric discovery: use qualitative insights alongside metrics to prioritize what will most improve the experience
Develop talent and team health through coaching, feedback, and career development - creating an environment of high trust, inclusion, and accountability
Requirements:
10+ years of software engineering experience
4+ years managing engineering teams in a fast-paced environment
BS/MS in CS or a related field or equivalent experience
Experience building and scaling distributed systems (e.g., service-oriented architectures, APIs, event-driven systems) through measurement & experimentation driven approaches
Solid technical judgment
you can guide trade-offs, review designs, and keep delivery moving while maintaining quality
Demonstrated ability to turn ambiguous problem spaces into clear roadmaps, milestones, and measurable outcomes
Strong customer and product mindset: you care deeply about the end-to-end experience and use metrics and feedback loops to guide iteration
Excellent communication and collaboration skills - you create clarity, align partners, and drive decisions without relying on hierarchy
Demonstrated ability to hire and retain strong talent, and build an inclusive, high-accountability team culture
Nice to have:
Experience with routing/matching systems, workflow orchestration, decisioning engines, or other optimization problem spaces
Familiarity with customer support tooling and ecosystems (case management, contact channels, agent experience), and how they influence service quality
Experience applying data science/ML or LLM-enabled techniques to improve automation, classification, triage, knowledge-retrieval or decision quality
Experience building skill models/taxonomies (e.g., proficiency signals, intent classification) used to drive intelligent assignment and personalization