InterviewHack.ai

Compensation Partner

Airbnb · San Francisco, United States

Postularme en la empresa
<div class=&quot;content-intro&quot;><p><span style=&quot;font-family: helvetica, arial, sans-serif; font-size: 12pt;&quot;>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=&quot;font-family: arial, helvetica, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;&quot;><strong>The Community You Will Join:&nbsp;</strong></span></p> <p><span style=&quot;font-family: arial, helvetica, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;&quot;>The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Technology organization and cross-functional partners including Recruiting, People Analytics, Finance, Legal and Talent.</span></p> <p><span style=&quot;font-family: arial, helvetica, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;&quot;><strong>The Difference You Will Make:</strong></span></p> <p><span style=&quot;font-family: arial, helvetica, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;&quot;>We are looking for a Technical Compensation Partner to serve as the dedicated compensation partner for the Technology organization, covering Engineering, Infrastructure, Machine Learning, and Data Science. This role will support VP and Director level tech leaders and their Talent Partners as the primary day-to-day compensation resource. The ideal candidate will be a strong business partner and a builder of compensation programs, tools, and data infrastructure, and must be comfortable operating with autonomy in a fast-moving environment.</span></p> <p><span style=&quot;font-family: arial, helvetica, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;&quot;><strong>A Typical Day:&nbsp;</strong></span></p> <ul> <li style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;><span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;>Serve as the dedicated compensation partner for the Technology organization, supporting VP and Director level leaders, Talent Directors, and People Partners across Engineering, Infrastructure, ML/AI, and Data Science.</span></li> <li style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;><span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;>Act as the primary point of contact for Talent Directors and senior tech leaders on new hire offers, internal equity reviews, leveling decisions, and out-of-cycle requests.</span></li> <li style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;><span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;>Own compensation cycle execution for tech client groups end-to-end, including market benchmarking, budget modeling, manager enablement, and leadership rollups.</span></li> <li style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;><span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;>Lead competitive intelligence for technical roles by conducting market research on compensation trends, pay practices, and talent movement across AI, ML, and frontier technology companies.</span></li> <li style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;><span style=&quot;font-family: arial, helvetica, sans-serif; font-size: 12pt;&quot;>Develop benchmar

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