Engineering Manager, Marketing Technology

Overview

Lead the Orchestration and Delivery teams that own Airbnb's communications platform end to end, setting technical direction, executing the roadmap, and driving AI-native engineering practices across both teams.

What you'll do

• Set the technical direction and own roadmap execution for the Orchestration and Delivery teams.
• Run 1:1s with engineers across both teams with a focus on career growth, technical skill development, and early identification of blockers.
• Serve as the primary engineering point of contact for cross-team dependencies, fielding product team requests and making reasoned prioritization calls.
• Partner with the Product Manager to sequence the roadmap across journey orchestration, bulk campaign sends, and delivery infrastructure.
• Drive technical strategy for end-to-end observability and SLA-driven delivery, including campaign-level delivery tracking, health-gated ramping, dynamic pacing against budgets, and automatic provider failover.
• Oversee the design, delivery, and operational health of production agentic systems, including agent-driven orchestration, lifecycle testing agents, smart scheduling, and LLM-assisted on-call triage.
• Champion AI-native development practices across both teams, from AI-assisted coding and review to agents in CI/CD, on-call response, and delivery anomaly detection.
• Own the health and operational maturity of both teams, including daytime and 24/7 on-call programs, blameless incident retrospectives, SLO definitions, runbook quality, and third-party messaging vendor escalations.
• Represent the communications platform in org-wide planning cycles and contribute to the broader Marketing Technology engineering strategy.

What you'll need

• 5+ years of software engineering experience, with 4+ years in an engineering management role leading platform or infrastructure teams.
• Demonstrated AI-native engineering mindset, using AI tools daily and having led teams in genuinely adopting AI-assisted development.
• Experience leading teams that have designed, built, and operated production-grade agentic systems, such as autonomous or semi-autonomous agent pipelines, LLM-orchestrated workflows, or multi-agent architectures handling real production traffic.
• Strong technical foundation in high-throughput distributed systems, including event-driven architectures, message queues and streaming (Kafka or similar), workflow orchestration engines (Temporal or similar), and multi-provider integrations.
• Track record of running reliable, customer-facing production services with defined SLOs, including on-call programs, incident management, and operational excellence across teams of varying size and seniority.
• Demonstrated experience managing engineers across a range of seniority levels, including early-career engineers, with a track record of meaningful career growth outcomes.
• Experience owning cross-team platform relationships, including managing inbound dependency requests, negotiating priorities, and communicating commitments with confidence.
• Track record of delivering complex, multi-quarter technical roadmaps, including large-scale migrations or legacy system consolidations, in fast-moving environments.

Nice to have

• Experience with notification, messaging, or communications infrastructure at scale, including email, SMS, push, or WhatsApp delivery.
• Experience with customer journey orchestration, marketing automation, or lifecycle messaging platforms.
• Hands-on familiarity with agent frameworks and orchestration tooling (e.g., LangGraph, CrewAI, Autogen, Temporal, or similar) and practical knowledge of where these systems break down in production.
• Experience building end-to-end observability and business-impact alerting for multi-hop asynchronous pipelines.
• Experience managing teams that own 24/7 on-call rotations and production services with external SLAs or vendor dependencies.

Details

• Eligible for remote work within the United States; employees may optionally use any US office location.
• Available during core collaboration hours in their time zone.
• Participate in occasional onsite gatherings as scheduled, typically 2 to 4 times per year.
• Pay range: $212,000 to $265,000 USD.