Tech Compensation Partner for Engineering & AI

Airbnb; California (MO); On-site; USD 168,000 - 210,000; Full time

Benefits offered by this job

Bonus potential

Equity

Benefits

Employee Travel Credits

Job summary

Airbnb is seeking a Technical Compensation Partner based in San Francisco to serve as the primary compensation resource for the Technology organization. You will partner with VP and Director level leaders, manage offers, internal equity reviews, and end-to-end compensation cycles, while building tools and data frameworks for AI/ML roles.

This role requires deep analytics, cross-functional collaboration, and the ability to translate market data into clear strategic decisions for leadership.

Qualifications

• 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.

Responsibilities

• 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.
• Lead offers, equity reviews, leveling decisions, and out-of-cycle requests.
• Own end-to-end compensation cycle execution for tech client groups, 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.

Skills

8+ years experience

Excel

SQL/Python/R

Compensation partner

Cross-functional partner

Market benchmarking

Pay structure design

Education

Advanced degree in Economics/Statistics/Data Science

Tools

Workday

Tableau

Job description

Airbnb is seeking a Technical Compensation Partner based in San Francisco to serve as the primary compensation resource for the Technology organization. You will partner with VP and Director level leaders, manage offers, internal equity reviews, and end-to-end compensation cycles, while building tools and data frameworks for AI/ML roles.

This role requires deep analytics, cross-functional collaboration, and the ability to translate market data into clear strategic decisions for leadership.