Engineering Manager (Guest & Host, Host Listings & Quality)
- United States
- Lead/Staff
- 10+ years
- Posted
Skills
Required
- ML
- LLMs
- spot patterns
Preferred
- machine learning
- data engineering
- backend
- evolve the platform
Join Airbnb as an Engineering Manager for the Insights Platform on the Guest & Host team. Lead a team of senior and staff engineers in the evolution of the platform, focusing on real-time, model-driven insights. Collaborate with product, design, and data science teams, and drive long-term technical strategy and architecture. Enjoy benefits such as paid volunteer time, health food and snacks, generous parental and family leave, learning and development opportunities, and annual travel and experiences credit.
About Airbnb
Depth in backend, data or ML platforms, with the ability to understand and represent data engineering, machine learning and backend engineering. Experience with distributed systems, data pipelines, and real-time or streaming architectures
Experience managing and growing senior and staff engineers, and creating an environment where they own initiatives end to end
Responsibilities
- Lead a team of senior and staff engineers across data engineering, machine learning, and backend to evolve the platform from batch to real-time and from rules-based to model-driven.
- Collaborate with product, design, and data science teams to define and drive long-term technical strategy and architecture that enables the company’s future vision.
- Mentor, guide, and support the career growth of individual contributors, fostering a culture of Diversity and Belonging within the organization.
- Track record of setting and holding a multi-year technical direction on a live, business-critical platform. This includes leading a major re-architecture or transition, such as batch to real-time or rules-based to model-driven, while continuing to deliver
Requirements
- 10+ years of relevant experience in the tech industry; 5+ years of experience in an Engineering Manager role, with ownership responsibility over large-scale software systems
- Experience applying ML and LLMs in production to personalize or rank what users see, and using experimentation and measurement to prove impact
- Strong communication and influence with technical and non-technical partners. Demonstrated ability to set shared standards and align multiple teams and organizations on a common platform approach
- A proven track record of fostering a culture of Diversity and Belonging, within the organization and across the tech community
- Strong product judgment, exercised through data. You understand the data behind user behavior and outcomes, spot patterns, and turn them into product and platform decisions
Pay
USD 212,000 - 265,000
