About the job
Founded in 2007, Airbnb has transformed from a small startup welcoming three guests into a global community of over 5 million hosts and more than 2 billion guest arrivals in virtually every country. Our platform offers distinctive stays and experiences, fostering authentic connections between guests and local communities.
Join Our Team
As a member of the Workflow Orchestration team within Airbnb’s Data Infrastructure organization, you'll play a vital role in managing the orchestration layer that coordinates, executes, and monitors sophisticated data workflows across both batch and streaming domains. Our objective is to equip data engineers, ML teams, analytics, and operational applications with scalable, reliable, and observable orchestration platforms, ensuring that essential business workflows operate seamlessly.
Your Impact
In the role of Engineering Manager, you will:
- Lead and develop a high-performing team tasked with designing, implementing, and maintaining distributed orchestration infrastructure that handles tens of thousands of data workflows daily.
- Establish the long-term technical vision and roadmap for orchestration, aligning it with Airbnb’s broader Data Infrastructure and Analytics platform strategy.
- Promote the adoption of best-in-class workflow paradigms and tools across data engineering, reliability, and ML teams, ensuring consistency, performance, and operational excellence.
- Collaborate closely with cross-functional teams in Data Platform, Compute, Storage, Analytics, and ML Infrastructure to enhance orchestration capabilities within the larger data ecosystem.
- Mentor and coach engineers to foster strong technical judgment, clarity of thought, and a sense of ownership within the team.
A Day in Your Life
- Work alongside senior engineering leaders to shape multi-year strategies for workflow orchestration and execution platforms.
- Stay involved in architectural decisions, review designs, and help resolve technical challenges.
- Collaborate with product and engineering leaders across Data Infrastructure to prioritize investments that balance reliability, developer experience, and cost.
- Ensure your team adheres to strong delivery discipline, optimizing workflows and practices.

