Data Platform Product 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><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>The Community You Will Join: </strong></span></p> <p>The Supply organization plays a pivotal role in driving the company’s growth and expansion efforts worldwide. This team recruits and develops Airbnb’s global supply of high-quality Homes, Services and Experiences. With this focus on quality supply and international expansion, the team is leading the way for Airbnb’s continued growth and facilitation of millions more host and guest connections.</p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>The Difference You Will Make:</strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;">Airbnb is seeking a <strong>Data Platform Product Lead</strong> to define and deliver the data products and systems strategy that powers our sales and operations organizations. You'll partner deeply with sales leaders, data software engineering teams, and business stakeholders to design the next generation of data infrastructure - one that leverages AI, handles complexity at scale, and actually solves for how reps and hosts use data in their work.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>A Typical Day: </strong></span></p> <ul> <li><strong>Drive data product strategy - </strong>Partner with sales and ops leadership and data engineering to define 18+ month roadmaps for data products, tools, and platforms that power sales operations</li> <li><strong>Pressure-test architecture - </strong>Challenge data and software engineering teams on technical decisions, prototype solutions, and ensure we're building for AI-first workflows and future scale, not just today's needs</li> <li><strong>Translate business to technical - </strong>Convert complex sales workflows and host/rep needs into detailed technical requirements and data products that serve our teams that support our hosts</li> <li><strong>Lead cross-functional delivery - </strong>Coordinate initiatives<strong> </strong>across many cross functional teams including Sales, Operations, Data Engineering, Analytics, and Software Engineering</li> <li><strong>Think product in the AI era - </strong>Design data products that leverage LLMs, agents, and emerging AI capabilities to reimagine how internal and GTM teams work with data</li> <li><strong style="font-family: arial, helvetica, sans-serif;">Handle the mess - </strong><span style="font-family: arial, helvetica, sans-serif;">Jump into chaotic situations (like when 3 tools break simultaneously), quickly map system dependencies, and use those moments to identify architectural gaps and strategic opportunities</span></li> </ul> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>Your Expertise:</strong></span></p> <ul> <li><strong>Data product design</strong> - Know how to build intelligent systems that turn data into actionable insights; design products where users can flexibly choose what they need rather than wade through everything</li> <li><strong>Narrative generation visualization</strong> - Translate metrics into clear, plain-language insights; understand when to use a chart vs when words tell the story better; design systems that answer "what happened, why it matters, and what to do"</li> <li><strong>AI-powered insight products</strong> - Can architect systems that auto-generate reports, summaries, and insight packages; understand how to leve ... (truncated, view full listing at source)