Airbnb is seeking a Senior Compensation Partner to lead compensation strategy for the Technology organization, focusing on Engineering, ML/AI, and Data Science. This role involves advising leadership, designing global compensation programs, and building compensation models.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
Responsibilities
- Serve as the senior compensation advisor to Technology leadership across functions such as Engineering, Infrastructure, ML/AI, and Data Science.
- Provide direction and counsel to multiple Talent Directors and their teams.
- Own Airbnb's market positioning for technical talent and the frameworks behind it.
- Help build the design, strategy, and execution of complex global compensation programs.
- Construct the financial models that project the long-term implications of compensation strategy.
- Partner with regional Total Rewards Partners across EMEA, APAC, and India.
- Lead compensation cycle strategy for Technology end-to-end.
- Cultivate the external network across survey providers, consultancies, and peer companies.
- Build the compensation models, tools, and frameworks the broader Compensation team relies on.
- Champion technical compensation expertise across the team.
Requirements
- 12+ years of compensation or analytics experience, ideally supporting the technical side of the business at a high-growth technology company.
- Proven track record as the primary compensation advisor to executive or C-level technical leaders.
- Demonstrated ownership of the design and strategy of complex, global compensation programs.
- Breadth across the full compensation discipline.
- Expert knowledge of third-party survey methodologies.
- Expert analytical skills including advanced Excel/Google sheets and working proficiency in tools like SQL, Python, or R.
- Strong communication skills with a proven ability to influence and negotiate with senior stakeholders.
- Bachelor's or advanced degree in a quantitative field such as Engineering, Economics, Statistics, or Data Science.
Conditions
- Base pay range: $204,000 — $255,000 USD.
- Eligible for bonus, equity, benefits, and Employee Travel Credits.
- Commitment to providing reasonable accommodations throughout the recruitment process for applicants with disabilities.