Engineering Manager, Marketing Technology (AI)

Location: Remote within the United States; optional use of US office locations, core collaboration hours in the employee's time zone, and occasional onsite gatherings typically 2–4 times per year.

Base pay: $212,000–$265,000 USD per year, with potential bonus, equity, benefits, and Employee Travel Credits.

Company

Airbnb operates a global platform connecting hosts and guests through stays and experiences.

What you will do

• Lead the Delivery and Orchestration engineering teams responsible for personalized customer journeys, campaign orchestration, notification routing, provider integrations, contact preferences, and terminal-state tracking.
• Set technical direction, own roadmap execution, and coordinate dependencies with product, audience segmentation, content, ML, data engineering, and other company teams.
• Drive unified messaging flows, campaign-level delivery tracking, health-gated ramping, dynamic pacing, automatic provider failover, and end-to-end observability.
• Oversee production agentic systems, including agent-driven orchestration, lifecycle testing agents, smart notification scheduling, and LLM-assisted on-call triage.
• Lead AI-native engineering adoption across coding, code review, CI/CD, on-call response, and delivery anomaly detection.
• Own operational maturity through SLOs, daytime and 24/7 on-call programs, runbooks, blameless incident reviews, and messaging vendor escalations.

Requirements

• 5+ years of software engineering experience, including 4+ years in engineering management leading platform or infrastructure teams.
• Daily use of AI tools, experience leading genuine AI-assisted development adoption, and strong judgment about effective agent use versus hype.
• Experience leading teams that designed, built, and operated production-grade agentic systems handling real production traffic, including autonomous or semi-autonomous agent pipelines, LLM-orchestrated workflows, or multi-agent architectures.
• Strong technical foundation in high-throughput distributed systems, event-driven architectures, message queues and streaming such as Kafka, workflow orchestration engines such as Temporal, and multi-provider integrations.
• Experience operating customer-facing production services with defined SLOs, on-call programs, incident management, and operational excellence.
• Experience managing engineers across seniority levels, including early-career engineers, with meaningful career growth outcomes.
• Experience managing cross-team platform relationships, negotiating priorities, and communicating commitments.
• Experience 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 across email, SMS, push, or WhatsApp.
• Experience with customer journey orchestration, marketing automation, or lifecycle messaging platforms.
• Hands-on familiarity with agent frameworks and orchestration tooling such as LangGraph, CrewAI, Autogen, or Temporal, including production failure modes.
• Experience building end-to-end observability and business-impact alerting for multi-hop asynchronous pipelines.
• Experience managing teams with 24/7 on-call rotations, external SLAs, or vendor dependencies.

Culture & Benefits

• Work in an AI-native engineering environment focused on reliability, operational maturity, and measurable business impact.
• Participate in occasional onsite team and organization gatherings, typically 2–4 times per year.
• Potential eligibility for bonus, equity, benefits, and Employee Travel Credits.
• Reasonable accommodations are available throughout the recruitment process.

Hiring process

• Qualified individuals are encouraged to apply; recruiting communication comes from Airbnb or ext.airbnb.com email addresses.
• Airbnb will not request payment, sensitive financial or identity information, or purchases of work equipment during the interview process.