Engineering Manager, Workflow Orchestration

You will join Airbnb's Workflow Orchestration team within the Data Infrastructure org. This team is responsible for coordinating, executing, and monitoring complex data workflows across batch and streaming domains.

As an Engineering Manager on the Workflow Orchestration team, you will:

• Lead and grow a high-performing team responsible for designing, implementing, and operating distributed orchestration infrastructure that runs tens of thousands of data workflows daily.
• Define the long-term technical vision and roadmap for orchestration, aligning to Airbnb's broader Data Infrastructure and Analytics platform strategy.
• Drive adoption of best-in-class workflow paradigms and tooling across data engineering, reliability, and ML teams, ensuring consistency, performance, and operational excellence.
• Partner closely with cross-functional teams in Data Platform, Compute, Storage, Analytics, and ML Infrastructure to integrate orchestration capabilities into wider data ecosystems.
• Coach and mentor engineers, enabling strong technical judgment, clarity of thinking, and ownership across the team.

A typical day will involve:

• Collaborating with senior engineering leaders to shape multi-year strategies for workflow orchestration and execution platforms.
• Staying connected to architectural decisions, reviewing designs, and helping to unblock technical challenges.
• Partnering with product and engineering leaders across Data Infrastructure to prioritize investments that balance reliability, developer experience, and cost.
• Ensuring the team practices strong delivery discipline, operational monitoring, and on-call readiness for critical orchestration infrastructure.
• Staying up to date with emerging technologies, best practices, and industry trends in data engineering and software development.
• Recruiting top engineering talent and growing the careers of engineers, with a focus on inclusive leadership and psychological safety.

To succeed in this role, you will need:

• 5+ years of engineering leadership experience managing and scaling distributed systems teams.
• Strong technical background in distributed systems, workflow orchestration engines, scheduling systems, or data infrastructure tooling.
• Previous working experience in large-scale orchestration frameworks such as Apache Airflow, Dagster, Flyte, Prefect, Kubeflow, Maestro or similar platforms, and understanding of challenges around scaling, observability, and multi-tenancy.
• Strong familiarity with software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices.
• A track record of partnering across engineering, product, and cross-functional teams to deliver reliable, high-quality infrastructure at scale.
• Excellent written and verbal communication skills, especially in synthesizing complex technical concepts for broad audiences.