Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 6
SQL @ 6
R @ 6
Statistics @ 3
Tableau @ 3
Machine Learning @ 3
Data Science @ 3
Hiring @ 3
Leadership @ 3
Communication @ 6
Data Analysis @ 6
BI @ 3
Reporting @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Airbnb's Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across the company. This role is a Technical Compensation Partner dedicated to the Technology organization (Engineering, Infrastructure, Machine Learning, and Data Science). You will be a compensation expert and builder of programs, tools, and data infrastructure, partnering closely with Recruiting, People Analytics, Finance, Legal, and Talent.
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.
- Act as 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: 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.
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.
- Experience leading cross-functional compensation initiatives and comfort navigating ambiguous, fast-moving environments.
- Strong communication and presentation skills for senior business and technical audiences.
Preferred
- 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 (Economics, Statistics, Data Science).
- Experience with Workday, Tableau, BI and data analytics and compensation platforms.
Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager. You must live in a state where Airbnb, Inc. has a registered entity (some states are excluded). If employed by another Airbnb entity, your recruiter will inform you of eligible states.
Benefits
The role may be eligible for bonus, equity, benefits, and Employee Travel Credits. Base pay is dependent on factors such as training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change.
Compensation
- Pay Range: $168,000—$210,000 USD