Note: The job is a remote job and is open to candidates in USA. Airbnb is a global platform that connects hosts and guests, and they are seeking an Engineering Manager for their Workflow Orchestration team. This role involves leading a team to design and operate orchestration infrastructure, defining technical vision, and collaborating with cross-functional teams to ensure reliable data workflows.

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

Skills

• 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

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits

Company Overview

Company H1B Sponsorship