# Engineering Manager, Marketing Technology - Segmentation Platform & Insights Platform

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** Engineering Management
**Salary:** $212k – $265k/yr
**Experience:** 9+ years
**Skills:** Distributed Data Systems, Backend Infrastructure, Data Pipelines, Analytics Infrastructure, Observability, AI/ML, Agent Frameworks, LangGraph, Crewai, Autogen, SLOs, Marketing Technology, Audience Segmentation, Targeting Systems
**Posted:** 2026-05-14

> 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.

## Job Description

## 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.

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