Engineering Manager, Core Entities & Trip Intelligence

Airbnb Airbnb · Consumer · United States · Software Engineering

This role manages a team of engineers building foundational data infrastructure for Airbnb's AI products. It involves owning the Entity Data Foundation, ensuring high-quality data for downstream AI teams, and leading the development of the Trip Intelligence real-time data product. The role focuses on data engineering, platform engineering, and real-time data processing to support AI initiatives and improve user experiences.

What you'd actually do

  1. 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.
  2. 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.
  3. Closely partner with compute and data infrastructure teams to drive the state-of-the-art for realtime data processing at Airbnb.
  4. 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.
  5. Manage and develop a team of ~7 engineers — own their careers, not just their sprint output.

Skills

Required

  • 9+ years of industry experience
  • 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
  • entity modeling
  • schema evolution
  • data contracts
  • building 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
  • Experience building in a cross-functional platform role
  • Comfort with greenfield work
  • Clear communicator
  • Commitment to engineering excellence, diversity, and belonging

Nice to have

  • drive design reviews and challenge engineers on tradeoffs
  • navigated the tension between what producers can deliver and what consumers need
  • know how to make progress without direct authority over every team in the chain
  • 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
  • able to represent technical decisions to senior leadership
  • keep producers and consumers aligned across a program with many moving parts

What the JD emphasized

  • shipping high-quality, well-modeled data that downstream teams can actually rely on
  • attribute serving platform that delivers over 1,700 quality and behavioral signals at production scale
  • health and governance contracts that give consumers confidence in the data they build on
  • building Airbnb's next generation of AI products
  • building a holistic, realtime data product (the Trip)
  • drive the real-time trip intelligence layer
  • signal layer is a direct dependency for proactive trip support, customer support triage, and host-facing AI products
  • foundational infrastructure that matters at company scale
  • concrete, high-visibility greenfield delivery to anchor your first year
  • unblock teams stuck on data quality issues
  • resolve schema ambiguity
  • close the gap between what the platform promises and what data owners actually experience
  • own the trip entity schema from first principles
  • surface and resolve the competing representations currently scattered across reservations, messaging, customer support, and trust systems
  • drive the real-time trip intelligence layer that aggregates signals across the trip lifecycle into a structured, queryable, near-real-time view
  • direct dependency for proactive trip support, customer support triage, and host-facing AI products
  • Drive entity onboarding with producer teams across the company
  • Lead technical design on the trip entity
  • Closely partner with compute and data infrastructure teams
  • Partner with proactive trip support, customer support triage, and host AI product teams
  • 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
  • Represent entity platform work in executive-level program reviews
  • 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
  • navigated the tension between what producers can deliver and what consumers need
  • know how to make progress without direct authority over every team in the chain
  • Comfort with greenfield work
  • 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
  • keep producers and consumers aligned across a program with many moving parts
  • Commitment to engineering excellence, diversity, and belonging

Other signals

  • building foundational data products
  • powering the machine learning, data engineering, and analytics systems
  • feeds the intelligence layer that Airbnb's next generation of AI products depends on
  • shipping high-quality, well-modeled data that downstream teams can actually rely on
  • attribute serving platform that delivers over 1,700 quality and behavioral signals at production scale
  • maintaining the health and governance contracts that give consumers confidence in the data they build on
  • building Airbnb's next generation of AI products
  • 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
  • drive the real-time trip intelligence layer that aggregates signals across the trip lifecycle into a structured, queryable, near-real-time view
  • signal layer is a direct dependency for proactive trip support, customer support triage, and host-facing AI products