Engineering Manager, Workflow Orchestration
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Overview
Join Airbnb as an Engineering Manager for the Workflow Orchestration team, leading the design and operation of distributed orchestration infrastructure for data workflows. Competitive salary and remote eligibility. 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.
As an Engineering Manager on the Workflow Orchestration team, you will
- •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.
How We'll Take Care of You
- •Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands.
- •The base pay range is subject to change and may be modified in the future.
- •This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
- •Pay Range $212,000 — $265,000 USD.
What You'll Need
- •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.