AI-Enabled Insights Lead

<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>Join our dynamic Research Team, which provides Airbnb with actionable insights to inform strategic decisions. You’ll be part of Innovation Insights, a division of Research that delivers insight into cultural trends, the competitive landscape, key audience segments, and new growth opportunities to help shape the future of Airbnb. Innovation Insights is also at the forefront of accelerating research and delivering critical insights using custom-built, cutting-edge AI tools and methods.&nbsp;</p> <p><strong>The Difference You Will Make</strong></p> <p>As AI-Enabled Insights Lead, you will develop and run <span style="text-decoration: underline;"><strong>AI-powered analyses to uncover actionable insights</strong></span> into travelers and travel trends globally, current and prospective Airbnb guests, and current and prospective Airbnb hosts. You will partner with stakeholders across the Research, Strategy, Product, Engineering, Data Science, Analytics and Marketing teams. Your work will grow our competitive advantage via trailblazing, AI-driven research and insights that fuel Airbnb innovation.&nbsp;&nbsp;</p> <p><strong>A Typical Day</strong></p> <ul> <li>Collaborate with a best-in-class research team to deliver insights that impact business strategies.</li> <li>Work with internal and cross-functional partners to identify opportunities to drive research efficiencies and business impact.</li> <li>Lead and collaborate on building innovative AI-powered methods, including leveraging third-party and in-house tools/infrastructure to <strong>build AI-orchestrated pipelines</strong> customized for insights-driven analyses.</li> <li><strong>Analyze large scale structured and unstructured data</strong> from internal sources (e.g., guest searches and reviews), primary research (e.g., interviews conducted globally at scale), and external sources (e.g., social media or chatbot conversations).</li> <li>Combine <strong>NLP with advanced data analysis and statistical modeling</strong> to uncover relationships, test hypotheses and extract new insights.&nbsp;</li> <li>Augment the team’s already advanced use of AI as a complement to, and