Engineering Manager, Marketing Technology - Segmentation Platform & Insights Platform

About the Role

<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">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.</span></p></div><p><strong>The Community You Will Join</strong></p> <p>The Marketing Technology team’s vision is to drive long term sustainable growth for the Airbnb community. Our mission is to build a best-in-class agentic system, and capabilities to support the growth of all Airbnb products, current and future. We achieve this by delivering highly personalized and relevant content and product experiences to the Airbnb community, both on and off of the Airbnb platform. The north star is full autonomy - where AI identifies opportunities, creates campaigns, personalizes experiences, and optimizes outcomes with minimal human-on-the-loop intervention. We are progressing along a deliberate maturity curve: <strong>AI</strong> <strong>assisted → agentic → autonomous,</strong> with human-in-the-loop controls at every stage to ensure brand safety, quality, and compliance.</p> <p>The platform deeply integrates with the Airbnb product, understanding the customer journey and enabling differentiated customer engagement experiences to drive product growth.&nbsp; The platform also powers digital marketing channels including landing pages, email, push, SMS, and digital advertising, as well as the machine learning/AI and data platforms that feed into the management and optimization of these channels.</p> <p>You'll lead two closely partnered teams: the Segmentation Platform, which owns the audience infrastructure used across every marketing surface at Airbnb, and the Insights Platform, which provides the observability and an

Key Responsibilities

• 1

  Develop and deploy ML models solving real-world product and business problems.

• 2

  Conduct exploratory data analysis and feature engineering on large datasets.

• 3

  Evaluate models using rigorous metrics, iterate based on offline and online experiments.

• 4

  Collaborate with product and engineering teams to integrate ML into production.

• 5

  Publish and present research findings internally and externally.

• 6

  Monitor model performance and retrain as data distributions shift.

Requirements

• Bachelor's/Master's/PhD in Statistics, Math, CS, or related field.
• Strong Python and ML library proficiency (scikit-learn, TensorFlow, PyTorch).
• Experience with large-scale data processing (Spark, BigQuery).
• Solid understanding of statistical modelling and A/B experimentation.
• Excellent communication skills with both technical and non-technical audiences.

Skills Required

How The Selection Process Works

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