Manager, Engineering - Guest & Host

Airbnb Airbnb · Consumer · United States · Software Engineering

Engineering Manager for Airbnb's Core Foundation team, focusing on client application foundations including instrumentation, performance, and feature architecture. The role involves defining long-term direction, driving adoption of best practices, and managing a team to build high-quality, performant features across platforms.

What you'd actually do

  1. Define the long term direction for client foundations and shape how product engineering is done across Airbnb.
  2. Drive adoption of consistent, cross‑platform architecture and best practices for feature development.
  3. Uplevel performance and app health through guardrails, proactive insights, and paved‑path tooling that shorten feedback loops for product teams.
  4. Provide a unified, high‑quality event logging experience that enables reliable, data‑driven decisions across surfaces and platforms.

Skills

Required

  • 10+ years of industry experience
  • 5+ years in engineering management
  • demonstrated success leading cross-functional or cross-platform foundation/platform teams
  • Proven track record establishing client-side performance/health practices and observability
  • driving adoption of paved-path tooling and standards at scale
  • Hands-on background in at least one client platform (iOS, Android, or Web)
  • fluency in modern app and feature architecture patterns
  • comfort collaborating across all three
  • Experience building or stewarding event logging/instrumentation platforms
  • improving data quality for analytics and experimentation
  • Strong cross-org influence and stakeholder management
  • clear, persuasive written and verbal communication
  • Commitment to inclusive leadership, talent development, and building psychologically safe, high-ownership teams

Nice to have

  • Experience with cross-platform consistency initiatives
  • developer experience investments that accelerate product velocity
  • Familiarity with configuration and server-driven paradigms

What the JD emphasized

  • client-side performance/health practices and observability
  • paved-path tooling and standards at scale
  • event logging/instrumentation platforms
  • data quality for analytics and experimentation