Engineering Manager, Marketing Technology - Segmentation Platform & Insights Platform

The role

Engineering manager overseeing the Segmentation Platform and Insights Platform teams within Marketing Technology. These interconnected platforms provide audience infrastructure and analytics observability across all Airbnb marketing surfaces, increasingly incorporating autonomous agent capabilities and AI-driven analysis.

What you'd do

• Lead technical direction and roadmap execution for two closely partnered platform teams
• Conduct regular one-on-ones focused on engineer growth, skill development, and blocker identification
• Serve as primary engineering lead for cross-team dependencies and make prioritization decisions
• Partner with product manager to sequence roadmap priorities
• Drive technical strategy for emerging AI/ML anomaly detection and trend analysis systems
• Oversee design, delivery, and operational health of production agentic systems at scale
• Promote AI-native development practices including assisted coding and agent-based workflows
• Manage team health through on-call programs, incident retrospectives, SLO definitions, and runbooks
• Represent platforms in org-wide planning and contribute to broader engineering strategy

What they're looking for

• Minimum 9 years software engineering experience with 4+ years managing platform or infrastructure teams
• Proven track record managing engineers across seniority levels with documented career growth outcomes
• Strong technical foundation in distributed data systems, backend infrastructure, or marketing/ad tech platforms
• Experience owning cross-team platform relationships and managing dependency requests
• Demonstrated delivery of complex multi-quarter technical roadmaps in fast-moving environments
• Fluency in data-driven engineering including pipelines, analytics infrastructure, and observability

Nice to have

• Experience with audience segmentation, targeting systems, or marketing data infrastructure at scale
• Familiarity with ML/AI-powered analytics systems or managing applied ML workstreams
• Hands-on knowledge of agent frameworks and orchestration tools
• Experience managing teams owning on-call rotations with external SLAs
• Comfort navigating intersections of engineering, data science, and analytics disciplines
• Track record integrating AI-assisted development practices into team workflows