Senior Manager, Data Science – Trust

Overview

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 :

You will lead the Fraud and Content Understanding team within Airbnb’s Trust Data Science group, leading a team of data scientists and applied scientists focused on building and preserving trust for guests, hosts, and the marketplace. You will partner closely with product, engineering, and operations to stop those who do not comply with Airbnb’s fraud and abuse policies, while building trust with those who do. Your team leverages AI and machine learning to understand guest and host behaviors, rich content, fraud and abuse vectors, and the actions required to build trust.

The Difference You Will Make :

You will set the strategic direction and organizational vision for how Airbnb uses science to stop fraud and abuse, while at the same time cultivating positive trust with the larger guest and host community. Your team’s work directly influences how and when we detect and mitigate against bad actors, improves the quality of experience for Airbnb guests and hosts, and the actions we take to educate and enforce policy. You will drive large cross-team initiatives that are key drivers of trust strategy at Airbnb, establishing the technical and organizational foundation that enables thoughtful fraud detection and mitigation, while driving deep, content-informed understanding of guests, hosts, and listings. You will build and scale a world-class organization of machine learning, natural language, computer vision, and AI experts who develop cutting-edge predictive, prescriptive, and agentic capabilities.

A Typical Day :

• Set organizational vision and strategy for fraud and abuse, cascading goals across your team and aligning roadmaps to further long-term strategic objectives.
• Build and scale automated systems for content understanding and intelligence, ranging from text, image, and audio content.
• Partner with engineering teams to operationalize sophisticated detection and actioning models into production systems that support organizational goals, while maintaining high technical quality standards.
• Attract, retain, and develop senior individual contributors and technical leaders, building Airbnb’s applied science and AI communities.
• Present complex analytical findings and strategic recommendations to executive leadership, influencing cross-functionally at the company level and contributing to papers and technical forums in the fraud and trust space.

Your Expertise :

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.

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