Engineering Manager, Marketing Technology

Airbnb

12h•$212,000 - $265,000•Remote

About The Position

Airbnb’s Marketing Technology organization builds the infrastructure used to reach and connect with guests and hosts worldwide, including audience segmentation, campaign orchestration, message delivery, and real-time insights. The Engineering Manager leads the Orchestration and Delivery teams, which together own Airbnb’s communications platform end to end. The platform supports messaging across email, SMS, push, and WhatsApp, and works closely with audience segmentation, content, machine learning, data engineering, and product teams. The manager is the primary technical leader for systems that determine whether and when messages reach guests and hosts. They set technical direction, own roadmap execution, develop engineers, and foster adoption of AI-native engineering practices. The platform is consolidating legacy and next-generation messaging flows, advancing from component metrics to business-impact health signals, and building end-to-end observability. The teams are also developing agentic capabilities, including agent-driven orchestration, lifecycle testing agents, smart notification scheduling, and AI-assisted on-call triage. The role is responsible for ensuring these production systems meet rigorous standards for reliability and operational maturity. The position is eligible for remote work within the United States. Employees may use US office locations and are expected to be available during core collaboration hours in their time zone and participate in occasional onsite gatherings, typically two to four times per year. The role may be eligible for bonus, equity, benefits, and Employee Travel Credits. The listed base pay range is $212,000–$265,000 USD.

Requirements

At least 5 years of software engineering experience, including at least 4 years in an engineering management role leading platform or infrastructure teams.
Demonstrated AI-native engineering mindset, daily use of AI tools, experience leading genuine adoption of AI-assisted development, and informed judgment about where agents provide leverage.
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 production traffic.
Strong technical foundation in high-throughput distributed systems, including event-driven architectures, message queues and streaming such as Kafka, workflow orchestration engines such as Temporal, and multi-provider integrations.
Track record operating reliable customer-facing production services with defined SLOs, including on-call programs, incident management, and operational excellence across teams of varying sizes and seniority.
Experience managing engineers at varied seniority levels, including early-career engineers, with meaningful career growth outcomes.
Experience owning cross-team platform relationships, managing dependency requests, negotiating priorities, and confidently communicating commitments.
Track record delivering complex, multi-quarter technical roadmaps, including large-scale migrations or legacy-system consolidations in fast-moving environments.

Nice To Haves

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 tools such as LangGraph, CrewAI, Autogen, or Temporal, and practical understanding of their production failure modes.
Experience building end-to-end observability and business-impact alerting for multi-hop asynchronous pipelines.
Experience managing teams responsible for 24/7 on-call rotations and production services with external SLAs or vendor dependencies.

Responsibilities

Lead planning, roadmap reviews, and cross-team coordination for the Delivery and Orchestration teams.
Hold regular one-on-ones with engineers, supporting career growth and technical development and identifying blockers early.
Serve as the primary engineering contact for cross-team dependencies, prioritize requests, and communicate commitments to partner teams.
Partner with the Product Manager to sequence work across journey orchestration, bulk campaign sends, and delivery infrastructure.
Set 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.
Promote AI-native development practices, including AI-assisted coding and review, agents in CI/CD, AI-assisted on-call response, and delivery anomaly detection.
Own operational maturity across 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 organization-wide planning and contribute to Marketing Technology engineering strategy.
Lead teams through platform transformation, including consolidation of legacy and next-generation messaging flows and adoption of business-impact health signals and end-to-end observability.