Airbnb15.05.2026
Engineering Manager, Marketing Technology - Segmentation Platform & Insights Platform
United States
Обязанности
- 01Lead weekly planning, roadmap reviews, and cross-team syncs for Segmentation and Insights Platform, keeping delivery on track and stakeholders well-informed
- 02Run 1:1s with engineers, with intentional focus on career growth, technical skill development, and early identification of blockers
- 03Serve as the primary engineering DRI for cross-team dependencies — fielding requests from teams across Airbnb tech. and making clear, reasoned prioritization calls
- 04Partner with the Product Manager to sequence the roadmap
- 05Drive technical strategy for the Insights Intelligence Engine — Airbnb's emerging AI/ML anomaly and trend detection system — working across ML, Data Engineering, and Analytics Engineering disciplines
- 06Oversee the design, delivery, and operational health of production agentic systems: autonomous pipelines, LLM-orchestrated workflows, and multi-agent architectures running at Airbnb scale
- 07Champion AI-native development practices across both teams — from AI-assisted coding and review workflows to the use of agents in CI/CD, on-call response, and data quality monitoring
- 08Own the health and operational maturity of both teams: on-call programs, incident retrospectives, SLO definitions, and runbook quality
- 09Represent both platforms in org-wide planning cycles and contribute to the broader Marketing Technology engineering strategy
Требования
- 019+ years of software engineering experience
- 024+ years in an engineering management role leading platform or infrastructure teams
- 03Demonstrated experience managing engineers across a range of seniority levels, including early-career engineers, with a track record of meaningful career growth outcomes
- 04Strong technical foundation in distributed data systems, backend infrastructure, or marketing/ad technology platforms
- 05Experience owning cross-team platform relationships: managing inbound dependency requests, negotiating priorities, and communicating commitments with confidence
- 06Track record of delivering complex, multi-quarter technical roadmaps in fast-moving environments
- 07Fluency in data-driven engineering practices: data pipelines, analytics infrastructure, observability, and operational excellence
- 08Experience with audience segmentation, targeting systems, or marketing data infrastructure at scale
- 09Familiarity with ML/AI-powered analytics systems or experience managing engineers working on applied ML workstreams
- 10Hands-on familiarity with agent frameworks and orchestration tooling (e.g., LangGraph, CrewAI, Autogen, or similar) and practical knowledge of where these systems break down in production
- 11Experience managing engineering teams in AI-native environments