Engineering Manager, Core Entities & Trip Intelligence

Details

• Entity Data Foundation — The value of a shared entity platform depends entirely on producers shipping high-quality, well-modeled data that downstream teams can actually rely on. You will lead the engineering execution that makes this real: partnering with data-producing teams across the company to onboard their entities to the shared semantic model, driving the attribute serving platform that delivers over 1,700 quality and behavioral signals at production scale, and maintaining the health and governance contracts that give consumers confidence in the data they build on. This is platform work with direct product stakes — the teams consuming this data are building Airbnb's next generation of AI products, and what you ship is the foundation they stand on.
• Trip Intelligence — As Airbnb continues to expand beyond Stays, we have an opportunity to more proactively serve our guests and hosts. We are building a holistic, realtime data product (the Trip) to serve as a shared data product not just for analytics, but also to make trips better as they are happening. Trip Intelligence is one of the highest-priority open problems on the roadmap. You will define and build it: own the trip entity schema from first principles, surface and resolve the competing representations currently scattered across reservations, messaging, customer support, and trust systems, and drive the real-time trip intelligence layer that aggregates signals across the trip lifecycle into a structured, queryable, near-real-time view. This signal layer is a direct dependency for proactive trip support, customer support triage, and host-facing AI products.
• 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.
• Review designs spanning attribute serving, real-time event pipelines, and cross-system entity mapping.
• 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.
• 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.