Note: The job is a remote job and is open to candidates in USA. Airbnb is a global hospitality company that connects hosts and guests. They are seeking an Engineering Manager for the Workflow Orchestration team to lead the development of distributed orchestration infrastructure, ensuring reliable and efficient execution of 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
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
- Employee Travel Credits
Company Overview
Company H1B Sponsorship