June 2026 archive · For research and skill exploration. Current job availability is unverified.
Home / Data Engineering / Airbnb
Airbnb

Engineering Manager, Core Entities & Trip Intelligence

Lead engineering team building foundational entity data and real-time trip intelligence infrastructure at scale.

AirbnbText summary from the June 2026 archive. original source →

The role

This is a people management role overseeing approximately seven engineers within Airbnb's Marketplaces Data and AI organization. The manager owns two interconnected technical areas: the entity data foundation platform that standardizes how hosts, listings, users, and trips are modeled across the company, and the emerging trip intelligence system that provides real-time insights to support guests and hosts. The role combines hands-on technical leadership with executive visibility, as both programs are top priorities for company engineering leadership.

What you'd do

  • Oversee engineering execution for entity data onboarding, working with producer teams to ensure high-quality, well-modeled data adoption
  • Drive technical design decisions for trip entity schema, lifecycle event taxonomy, and real-time streaming infrastructure
  • Partner with compute and data infrastructure teams to advance real-time data processing capabilities
  • Validate signal layers meet actual product use cases through collaboration with support and AI product teams
  • Conduct design reviews spanning attribute serving, event pipelines, and cross-system entity mapping
  • Coordinate with principal engineer and program manager on roadmap sequencing and infrastructure dependencies
  • Manage team of approximately seven engineers, including career development and performance ownership
  • Represent entity platform initiatives in executive-level program reviews

What they're looking for

  • Minimum nine years of industry experience with three to five plus years in engineering management
  • Bachelor's, Master's, or PhD in Computer Science, Data Engineering, or related field
  • Background in data engineering, platform engineering, or data infrastructure with understanding of entity modeling and data contracts
  • Hands-on fluency with distributed data systems including batch and streaming pipelines, online and offline serving
  • Experience building in cross-functional platform roles navigating producer and consumer tensions
  • Proven ability with greenfield projects and schema-from-scratch development
  • Strong judgment distinguishing shared infrastructure concerns from product-specific needs
  • Clear communication skills for technical and executive audiences

Summary written by RoleDeck from the original posting. This is an extracted, own-words summary and may contain errors. The original source may have changed or expired.