Engineering Manager, Host Insights Platform

airbnb, Inc.; Northern (KY); Hybrid; USD 212,000 - 265,000; Full time

Job summary

Airbnb, Inc. is seeking an Engineering Manager for the Insights Platform on the Guest & Host team. You will lead a team delivering guidance across email, push, in-product experiences, dashboards and conversational agents to improve host earnings and listings.

You’ll drive a multi-disciplinary team spanning data engineering, machine learning and backend engineering to evolve from batch to real-time and from rules-based to model-driven insight creation, with AI-powered personalization at its core.

Qualifications

• 10+ years of relevant experience in the tech industry.
• 5+ years in an Engineering Manager role with ownership over large-scale software systems.
• Experience leading backend, data or ML platforms and distributed systems.

Responsibilities

• Work closely with other senior leaders to define and drive long-term technical strategy and architecture that enables the company’s future vision.
• Partner with senior Product, Design and Data Science leaders to set platform strategy, including how insights are ranked, personalized and measured.
• Lead the team to build reliable, performant and scalable systems for insight creation, personalization, cross-channel delivery and measurement.
• Provide critical input in team roadmap and technical direction.
• Influence and collaborate with stakeholders to adopt team goals and roadmaps.
• Identify areas of improvement and drive best practices
• Hands‑on development, including design and code reviews
• Mentor, guide, and support the career growth of individual contributors

Job description

Airbnb, Inc. is seeking an Engineering Manager for the Insights Platform on the Guest & Host team. You will lead a team delivering guidance across email, push, in-product experiences, dashboards and conversational agents to improve host earnings and listings.

You’ll drive a multi-disciplinary team spanning data engineering, machine learning and backend engineering to evolve from batch to real-time and from rules-based to model-driven insight creation, with AI-powered personalization at its core.