Drive entity onboarding with producer teams across the company — unblock teams stuck on data quality issues, resolve schema ambiguity, and close the gap between what the platform promises and what data owners actually experience.
Lead technical design on the trip entity — data model, lifecycle event taxonomy, real-time streaming architecture, and privacy-safe handling of message and conversation data.
Closely partner with compute and data infrastructure teams to drive the state-of-the-art for realtime data processing at Airbnb.
Partner with proactive trip support, customer support triage, and host AI product teams to validate that the signal layer meets their actual use cases, not a spec written in isolation.
Work closely with the principal engineer and program manager on roadmap sequencing and escalation of infrastructure dependencies.
Manage and develop a team of ~7 engineers — own their careers, not just their sprint output.
Represent entity platform work in executive-level program reviews; this program is a direct priority for Airbnb's engineering leadership.
Requirements
9+ years of industry experience, including 3-5+ years in engineering management
Bachelor's, Master's, or PhD in Computer Science, Data Engineering, or a related field
Background in data engineering, platform engineering, or data infrastructure — you understand entity modeling, schema evolution, data contracts, and what it takes to build systems that downstream teams can rely on.
Hands-on fluency with distributed data systems: batch and streaming pipelines, online and offline serving, or event-driven architectures — sufficient to drive design reviews and challenge engineers on tradeoffs.
Experience building in a cross-functional platform role — you have navigated the tension between what producers can deliver and what consumers need, and you know how to make progress without direct authority over every team in the chain.
Comfort with greenfield work: you have built something from a blank schema or an early-stage spec, not just inherited a running system.
Strong instinct for what belongs in shared infrastructure versus what stays in a product team.
Clear communicator: able to represent technical decisions to senior leadership and keep producers and consumers aligned across a program with many moving parts.
Commitment to engineering excellence, diversity, and belonging.
Benefits
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.