Engineering Manager, Workflow Orchestration - Data Infrastructure

at Airbnb
USD 204,000-255,000 per year
MIDDLE
✅ Remote ✅ Hybrid

Used Tools & Technologies

Machine Learning

Required Skills & Competences

Airflow @ 3 Distributed Systems @ 5 Leadership @ 3 Communication @ 3 Dagster @ 3 Data Engineering @ 3 KubeFlow @ 3 Design Patterns @ 2 Observability @ 3

Details

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.

The Community You Will Join

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. The team's 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.

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 workflow paradigms and tooling across data engineering, reliability, and ML teams, ensuring consistency, performance, and operational excellence.
  • Partner 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.
  • Review designs, stay connected to architectural decisions, and help unblock technical challenges.
  • 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.
  • Recruit and grow engineering talent, focusing on inclusive leadership and psychological safety.

A Typical Day

  • Shape multi-year strategies for orchestration and execution platforms with senior leaders.
  • Review architecture and designs; unblock technical challenges.
  • Partner with product and engineering leaders across Data Infrastructure to prioritize work.
  • Ensure operational monitoring, on-call readiness, and delivery discipline for orchestration infrastructure.
  • Stay up to date with emerging technologies and industry best practices.
  • Recruit and mentor engineers, and support career growth.

Requirements

  • 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, 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.
  • 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.

Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager. You must live in a state where Airbnb, Inc. has a registered entity (some states may be excluded).

Our Commitment to Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible and providing a disability inclusive application and interview process. Candidates who require reasonable accommodation can contact [email protected] with their full name, the role, and the accommodation needed.

Compensation & Other Details

The base pay range is $204,000—$255,000 USD. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Actual base pay depends on factors such as training, transferable skills, work experience, business needs, and market demands.

Offices

United States