Engineering Manager, Workflow Orchestration

<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</span></p></div><h2><strong>The Community You Will Join</strong></h2> <p>You will join the Workflow Orchestration team within Airbnb's Data Infrastructure org. This team owns the orchestration layer that coordinates, executes, and monitors complex data workflows across batch and streaming domains. Our mission is to empower data engineers, ML teams, analytics, and operational applications with robust, scalable, and observable orchestration platforms and tooling — ensuring that critical business workflows run reliably, efficiently, and transparently.</p> <h2><strong>The Difference You Will Make</strong></h2> <p>As an Engineering Manager on the Workflow Orchestration team, you will:</p> <ul> <li>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.</li> <li>Define the long-term technical vision and roadmap for orchestration, aligning to Airbnb's broader Data Infrastructure and Analytics platform strategy.</li> <li>Drive adoption of best-in-class workflow paradigms and tooling across data engineering, reliability, and ML teams, ensuring consistency, performance, and operational excellence.</li> <li>Partner closely with cross-functional teams in Data Platform, Compute, Storage, Analytics, and ML Infrastructure to integrate orchestration capabilities into wider data ecosystems.</li> <li>Coach and mentor engineers, enabling strong technical judgment, clarity of thinking, and ownership across the team.</li> </ul> <h2><strong>A Typical Day</strong></h2> <ul> <li>Collaborate with senior engineering leaders to shape multi-year strategies for workflow orchestration and execution platforms.</li> <li>Stay connected to architectural decisions, review designs, and help unblock technical challenges.</li> <li>Partner with product and engineering leaders across Data Infrastructure to prioritize investments that balance reliability, developer experience, and cost.</li> <li>Ensure the team practices strong delivery discipline, operational monitoring, and on-call readiness for critical orchestration infrastructure.</li> <li>Stay up to date with emerging technologies, best practices, and industry