Engineering Manager, Workflow Orchestration

Responsibilities

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

Requirements

• 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.