
5001 - 10000 employees
Founded 2007
👥 B2C
🛍️ eCommerce
💰 Post-IPO Equity on 2020-12
B2C • eCommerce • Hospitality
Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.
🔥 12 hours ago
🇺🇸 United States – Remote
💵 $168k - $210k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🪙 Affiliate Manager
🦅 H1B Visa Sponsor
Improve your chances of getting an interview by checking your resume score before you apply.

5001 - 10000 employees
Founded 2007
👥 B2C
🛍️ eCommerce
💰 Post-IPO Equity on 2020-12
B2C • eCommerce • Hospitality
Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.
• 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. • 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. • Own compensation cycle execution for tech client groups end-to-end, including market benchmarking, budget modeling, manager enablement, and leadership rollups. • 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. • Develop benchmarking methodologies that supplement traditional survey data with recruiting signals, offer data, and other real-time market sources. • Partner with Recruiting and People Analytics to provide market insights and competitive positioning recommendations for technical hires at all levels. • Design and build compensation models, tools, and frameworks tailored to technical roles, incorporating factors such as AI expertise, research impact, and specialized skills. • Develop AI-powered compensation tools including benchmarking applications, offer-generation tools, and workflow automation to improve team efficiency and decision quality. • Build self-service dashboards that give recruiting teams, hiring managers, and People Partners direct access to market data and offer guidance. • Prepare analyses and presentations for senior tech leadership and cross-functional partners, translating market data into clear strategic recommendations. • Develop enablement materials that help tech managers understand Airbnb's compensation philosophy and make informed decisions.
• 8+ years of compensation or analytics experience with depth in technical roles and familiarity with the AI/ML talent market. • Advanced analytical skills including proficiency in Excel and working knowledge of SQL, Python, or R for data analysis and tool development. • Proven track record as a compensation business partner for a technical or engineering organization, including ownership of cyclical programs end-to-end. • Strong knowledge of third-party survey methodologies (Radford/Mercer/Comptryx) and ability to build and validate pay structures across geographies and functions. • The ideal candidate will have experience leading cross-functional compensation initiatives and must be comfortable navigating ambiguous, fast-moving environments. • Strong communication skills with a proven ability to present complex compensation data clearly to senior business and technical audiences. • Experience building AI-powered tools or data products, including automated reporting systems or compensation technology prototypes. • Background in both compensation business partner and programs or analytics roles. • Experience at a high-growth technology company with exposure to AI, ML, or research-focused organizations. • Advanced degree in a quantitative field such as Economics, Statistics, or Data Science. • Experience with Workday Tableau, BI and data analytics and compensation platforms.
• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
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