Engineering Manager, Marketing Technology

О позиции

Airbnb's Marketing Technology organization builds the infrastructure that powers how we reach and connect with guests and hosts around the world. You'll lead two closely partnered teams that together own the communications platform end to end — from audience segmentation and campaign orchestration to last-mile delivery and real-time insights. The team is mid-transformation, consolidating legacy and next-generation messaging flows onto a unified path, building agentic capabilities for autonomous orchestration, lifecycle testing, smart scheduling, and AI-assisted on-call triage.

Будет плюсом

• Experience with notification, messaging, or communications infrastructure at scale (email, SMS, push, WhatsApp)
• Experience with customer journey orchestration, marketing automation, or lifecycle messaging platforms
• Hands-on familiarity with agent frameworks and orchestration tooling (LangGraph, CrewAI, Autogen, Temporal)
• Experience building end-to-end observability and business-impact alerting for multi-hop asynchronous pipelines
• Experience managing teams with 24/7 on-call rotations and production services with external SLAs

Условия

• Remote work eligible within the United States with optional access to US office locations
• Base salary competitive for the market
• Performance bonus eligibility
• Equity grants
• Comprehensive benefits package
• Employee Travel Credits
• Opportunity to shape AI-native engineering culture at scale
• Work on infrastructure serving billions of messages annually across email, SMS, push, and WhatsApp

Навыки

• Engineering Management
• Distributed Systems
• Event-Driven Architecture
• Message Queues
• Kafka
• Temporal
• Workflow Orchestration
• SLO Management
• On-Call Operations
• Incident Management
• CI/CD
• LLM Integration
• Agent Frameworks
• Email/SMS/Push/WhatsApp Infrastructure
• API Design
• Observability
• Cross-team Collaboration
• Technical Roadmap Planning
• Team Leadership

Могут спросить на собеседовании

1. Расскажите о вашем опыте руководства инженерными командами в сфере платформ или инфраструктуры — какие вызовы были наиболее сложными и как вы их решали?
2. Как вы оцениваете зрелость AI-native практик в ваших предыдущих командах? Приведите конкретные примеры внедрения AI в разработку или эксплуатацию систем.
3. Опишите ваш подход к построению observability в многоуровневых асинхронных пайплайнах — какие метрики и алерты вы считаете критическими?
4. Приведите пример успешной миграции или консолидации легаси-систем. Как вы управляли рисками во время перехода?
5. Как вы строите культуру blameless incident retrospectives и обеспечиваете качество runbook документации в вашей команде?