Senior Compensation Partner, Technology

• 12+ years of compensation or analytics experience, ideally supporting the technical side of the business at a high-growth technology company in a fast-paced, global environment, with familiarity with the AI/ML talent market
• Proven track record as the primary compensation advisor to executive or C-level technical leaders, with ownership of the highest-stakes compensation decisions and the ability to provide direction and counsel to Talent Directors, recruiters, and senior business leaders
• Demonstrated ownership of the design and strategy of complex, global compensation programs, including financial accountability for program cost and budget, and experience leading cross-functional initiatives in ambiguous, fast-moving environments
• Breadth across the full compensation discipline — base pay structure design, equity and incentive design, job architecture and leveling, and pay equity — ideally spanning both business partner and programs or analytics roles
• Expert knowledge of third-party survey methodologies (Radford/Mercer/WTW), with the ability to define benchmarking methodology and to build and validate pay structures across geographies and functions; recognition in the broader compensation community through peer networks, industry forums, or survey advisory groups is a plus
• Expert analytical skills including advanced Excel/Google sheets and working proficiency in tools like SQL, Python, or R to build models, tools, and data products across large, complex data sets; experience with Workday Advanced Compensation, Tableau, or comparable BI and compensation platforms
• Actively leverages AI tools and technologies to accelerate workflows and improve decision quality, ideally including hands-on experience building AI-powered tools or data products such as LLM-based applications, automated reporting systems, or compensation technology prototypes
• Strong communication skills with a proven ability to influence and negotiate with senior stakeholders internally and externally, and to present complex compensation analysis to senior business and technical audiences in a way that informs executive and board-level decisions
• Bachelor's or advanced degree in a quantitative field such as Engineering, Economics, Statistics, or Data Science, or equivalent experience

Due to the nature of this position, the successful applicant will need to be based in San Francisco, California to be able to conduct their work.

If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Airbnb is committed to working with the broadest talent pool possible.

We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.

All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process.

If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com .

Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Our job titles may span more than one career level.

The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands.

The base pay range is subject to change and may be modified in the future.

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities.

If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

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We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.