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Airbnb

Engineering Manager, Marketing Technology - Segmentation Platform & Insights Platform

Leads engineering teams building Segmentation and Insights Platforms for Airbnb's marketing technology, driving technical strategy, roadmap execution, and AI-native practices for real-time customer segmentation, anomaly detection, and autonomous agent systems.

212k – 265kUnited StatesEngineering ManagementRemote9+ YOE
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About the role

Responsibilities

  • Lead weekly planning, roadmap reviews, and cross-team syncs for Segmentation and Insights Platform.
  • Run 1:1s with engineers, focusing on career growth, technical skill development, and identifying blockers.
  • Serve as primary engineering DRI for cross-team dependencies, prioritizing requests from Airbnb tech teams.
  • Partner with Product Manager to sequence the roadmap.
  • Drive technical strategy for Insights Intelligence Engine (AI/ML anomaly and trend detection), collaborating across ML, Data Engineering, and Analytics Engineering.
  • Oversee design, delivery, and operational health of production agentic systems: autonomous pipelines, LLM-orchestrated workflows, multi-agent architectures.
  • Champion AI-native development practices: AI-assisted coding, review workflows, agents in CI/CD, on-call, data quality monitoring.
  • Own team health: on-call programs, incident retrospectives, SLOs, runbooks.
  • Represent platforms in org-wide planning and contribute to Marketing Technology engineering strategy.

Requirements

Required

  • 9+ years software engineering experience, 4+ years engineering management leading platform/infrastructure teams.
  • Experience managing engineers across seniority levels, with career growth track record.
  • Strong foundation in distributed data systems, backend infrastructure, or marketing/ad tech platforms.
  • Owning cross-team platform relationships: dependency management, prioritization, commitments.
  • Delivering complex, multi-quarter technical roadmaps in fast-moving environments.
  • Fluency in data-driven engineering: data pipelines, analytics infrastructure, observability, operational excellence.

Preferred

  • Experience with audience segmentation, targeting systems, marketing data infrastructure at scale.
  • Familiarity with ML/AI-powered analytics or managing applied ML workstreams.
  • Hands-on with agent frameworks (e.g., LangGraph, CrewAI, Autogen) and production challenges.
  • Managing teams with on-call rotations and external SLAs.
  • Navigating engineering, data science, analytics engineering intersection.
  • Integrating AI-assisted development into workflows.

Skills

Distributed Data SystemsBackend InfrastructureData PipelinesAnalytics InfrastructureObservabilityAI/MLAgent FrameworksLangGraphCrewaiAutogenSLOsMarketing TechnologyAudience SegmentationTargeting Systems

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