← All jobs · Airbnb

Engineering Manager, Core Entities & Trip Intelligence

Airbnb ·
59
AI-Agency
B68 U45
📍 US 🌐 Remote-only Manager 9+ yrs
distributed data systemsbatch pipelinesstreaming pipelinesevent-driven architecturesentity modelingdata contracts
TL;DR

Engineering Manager at Airbnb leading Core Entities and Trip Intelligence platform teams. Owns entity data foundation, attribute serving, and real-time trip data infrastructure serving downstream AI products and company-wide data consumers.

Apply at Airbnb →
share:
you'll be redirected to the company's career page

Job description

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:

Marketplaces Data and AI is Airbnb's data and AI execution org, responsible for the machine learning, data engineering, and analytics systems that power how guests find the right place to stay and how hosts succeed on the platform. We build foundational data products used across Airbnb — by Trust, Customer Support, Search, and every team that needs a reliable, structured view of what is happening on our platform.

The Core Entities program is the cornerstone of that foundation. It is the company's canonical semantic model for the objects that matter most to Airbnb — hosts, listings, users, and trips — and the events that happen across their lifecycles. This work feeds the intelligence layer that Airbnb's next generation of AI products depends on, and it is one of the top priorities for the company's engineering leadership.

The Difference You Will Make:

You will own two closely connected areas:

The combination is intentional. You are building foundational infrastructure that matters at company scale — and you have a concrete, high-visibility greenfield delivery to anchor your first year.

A Typical Day: 

Your Expertise:

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, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb 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 in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

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.  

Pay Range
$212,000$265,000 USD
Apply at Airbnb →

More open roles at Airbnb

Airbnb · 🔄 synced 7h ago
Principal AI/ML Researcher / Engineer In Reasoning, Planning, and Decision-making systems
📍 San Francisco, US 🛠 AI tools welcome at work · Principal
Principal AI/ML Researcher and Engineer at Airbnb building reasoning, planning, and decision-making systems. Focus on post-training intelligence frameworks, Large Reasoning Models, reinforcement learning, and multi-agent systems for personalization and operational coordination.
LLMLRMReinforcement LearningKnowledge GraphsMulti-agent systemsGraph neural networks
91
AI-core
Airbnb · 🔄 synced 7h ago
Principal AI/ML Researcher / Engineer In Bayesian, Large Foundational Systems, and Distributional Reinforcement Learning
📍 San Francisco, US · Principal
Principal AI/ML Researcher and Engineer at Airbnb leading research and development of Bayesian learning systems, distributional reinforcement learning, and foundational models. Role involves architecting large-scale probabilistic AI systems, integrating LLMs with reasoning frameworks, and deploying production systems impacting personalization and ranking.
PythonScalaJavaC++TensorFlowPyTorch
88
AI-core
Airbnb · 🔄 synced 7h ago
Senior Staff Machine Learning Engineer, Growth Platform Engineering
📍 US 🌐 Remote-only 🛠 AI tools welcome at work · Staff
Senior Staff ML Engineer at Airbnb building agentic growth platform systems. Focus on AI-powered content generation, ML orchestration for marketing decisioning, and autonomous campaign optimization at scale.
PythonScalaJavaC++TensorFlowPyTorch
83
AI-core
Airbnb · 🔄 synced 7h ago
Senior Staff Machine Learning Engineer, Trust
📍 US 🌐 Remote-only 🛠 AI tools welcome at work · Staff
Senior Staff ML Engineer at Airbnb building trust and fraud detection systems. Focus on large-scale ML models, agentic AI, and real-time risk evaluation across the platform.
PythonScalaJavaC++TensorFlowPyTorch
83
AI-core
Airbnb · 🔄 synced 7h ago
Principal Machine Learning Engineer- LLM Fine-tuning and Optimization
📍 US 🌐 Remote · Principal
Principal Machine Learning Engineer at Airbnb focused on fine-tuning and optimizing large language models for customer support and product applications. Responsible for developing LLM models, pipelines, and ML infrastructure at scale.
PythonPyTorchLLM fine-tuningRAGmodel quantizationGPU inference
82
AI-core