Compensation Partner

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Key Responsibilities

• 1
  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.
• 2
  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.
• 3
  Own compensation cycle execution for tech client groups end-to-end, including market benchmarking, budget modeling, manager enablement, and leadership rollups.
• 4
  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.
• 5
  Develop benchmarking methodologies that supplement traditional survey data with recruiting signals, offer data, and other real-time market sources.
• 6
  Partner with Recruiting and People Analytics to provide market insights and competitive positioning recommendations for technical hires at all levels.
• 7
  Design and build compensation models, tools, and frameworks tailored to technical roles, incorporating factors such as AI expertise, research impact, and specialized skills.
• 8
  Develop AI-powered compensation tools including benchmarking applications, offer-generation tools, and workflow automation to improve team efficiency and decision quality.
• 9
  Build self-service dashboards that give recruiting teams, hiring managers, and People Partners direct access to market data and offer guidance.
• 10
  Prepare analyses and presentations for senior tech leadership and cross-functional partners, translating market data into clear strategic recommendations.
• 11
  Develop enablement materials that help tech managers understand Airbnb's compensation philosophy and make informed decisions.

Requirements

• 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.
• Preferred Experience/Skills: 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.

Perks & Benefits