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Jobs / Airbnb

Engineering Manager, Guest & Host (Host Listings & Quality)

Airbnb·United Statessenior

In short

  • →Liderazgo técnico de una plataforma clave para mejoras de anfitriones en Airbnb, con enfoque en datos y machine learning.
  • →Desarrollo de sistemas en tiempo real y personalización con IA para insights de anfitriones, usando múltiples canales.
  • →Destacado: Transición de modelo basado en reglas a uno model-driven con inteligencia artificial, en producción.

Proficiency in English required

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In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

The questions they'll ask you

1. ¿Cómo estrategizarías la migración de un sistema batch a real-time en un contexto de alta carga y fiabilidad?

2. ¿Qué métricas usarías para evaluar el impacto de un insight personalizado en un anfitrión?

3. Describe un ejemplo donde usaste ML para mejorar un sistema de recomendaciones o insights en producción.

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

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💵 USD · Remote · No visa

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What they ask for

  • ✓10+ años en tech, 5+ como Engineering Manager con sistemas a escala.
  • ✓Experiencia en re-archs de batch a real-time o reglas a modelo-driven.
  • ✓Habilidad comprobada en ML/LLMs para personalización y ranking en producción.
  • ✓Experiencia gestionando equipos de ingenieros senior y staff.
  • ✓Capacidad para influir en productos, diseño y ciencia de datos.
  • ✓Acreditado en cultura de diversidad e inclusión dentro de equipos técnicos.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

BackendData EngineeringMachine LearningReal-time SystemsStreaming ArchitecturesDistributed SystemsData PipelinesLLMsAI-assisted Insight CreationPersonalization

Who should you write to at Airbnb?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 As the Engineering Manager for the Insights Platform on Airbnb's Guest & Host team, you'll lead the system that decides what every host is told about improving their earnings, quality and listings. It delivers that guidance across email, push notifications, in-product experiences, dashboards and conversational agents. You'll lead a team of senior and staff engineers across data engineering, machine learning and backend through the platform's next evolution: from batch to real-time and from rules-based to model-driven, with AI-assisted insight creation and personalization at its core. The team partners closely with product, design and data science, and with teams across Airbnb that rely on the platform to reach hosts. A Typical Day: • 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 Your Expertise: • 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. • 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. • 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. • 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 applying ML and LLMs in production to personalize or rank what users see, and using experimentation and measurement to prove impact. • Experience managing and growing senior and staff engineers, and creating an environment where they own initiatives end to end. • 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 Your Location: 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. While the position is Remote Eligible,

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