<div>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.</div>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 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:  <ul> <li>Set organizational vision and strategy for fraud and abuse, cascading goals across your team and aligning roadmaps to further long-term strategic objectives.</li> <li>Build and scale automated systems for content understanding and intelligence, ranging from text, image, and audio content.</li> <li>Partner with engineering teams to operationalize sophisticated detection and actioning models into production systems that support organizational goals, while maintaining high technical quality standards.</li> <li>Attract, retain, and develop senior individual contributors and technical leaders, building Airbnb’s applied science and AI communities.</li> <li>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.</li> </ul> Your Expertise: <ul> <li>Advanced degree (PhD preferred) in Economics, Statistics, Computer Science, or related quantitative field with 12+ years of relevant industry experience (9+ years with PhD).</li> <li>4+ years of people management experience leading high-performing teams of data scientists, applied scientists, economists, or applied researchers, with demonstrated ability to attract, retain, and grow senior individual contributors.</li> <li>Deep expertise in machine learning methodologies and their application to trust, fraud, and/or safety.</li> <li>Hands-on experience in building machine learning systems at scale, particularly related to natural language and/or computer vision.</li> <li>Experience with trust and safety in marketplace, platform, or multi-sided business environments.</li> <li>Proven track record of setting organizational vision and strategy, translating complex modeling insights into business strategy, and driving cross-functional initiatives that deliver measurable impact across large organizations with 1+ year strategic thinking horizon.</li> <li>Experience managing teams through long-term, high-ambiguity projects with ability to persevere through uncertainty and make strategic pivots when necessary.</li> <li>Exceptional communication and leadership skills with the ability to influence across Data Science and cross-functionally at the company level.</li> </ul> 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. <a href="https://careers.airbnb.com/">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</a>. 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 &amp; 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: <a href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. 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.<div><div><div>How Well 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.  </div><div>Pay Range</div><div>$224,000—$280,000 USD</div></div></div>