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.
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.
The Difference You Will MakeAs 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.
- 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.
- 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.
This position is US Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. You must live in a state where Airbnb, Inc. has a registered entity.
Our Commitment to Inclusion & BelongingAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact [email protected].
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.
Skills Required
- 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 with large-scale orchestration frameworks such as Apache Airflow, Dagster, Flyte, Prefect, Kubeflow, or Maestro and familiarity with scaling, observability, and multi-tenancy challenges
- Strong familiarity with software engineering principles including object-oriented and functional programming paradigms, design patterns, and code quality practices
- 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, including synthesizing complex technical concepts for broad audiences
- Must live in a state where Airbnb, Inc. has a registered entity
Airbnb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.
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Fair & Transparent Compensation — Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
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Healthcare Strength — Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
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Leave & Time Off Breadth — Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.
Airbnb Insights
What We Do
Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.
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