Compensation Partner

Certexamdb; United States; On-site; USD 168,000 - 210,000; Full time

Job summary

Certexamdb is seeking a Compensation Partner for its Technology organization in San Francisco, CA. This role demands a seasoned professional with over 8 years in compensation, capable of leading initiatives and providing strategic recommendations in a remote-eligible capacity.

Responsibilities include market benchmarking, budget modeling, and collaboration with senior tech leaders to ensure equitable compensation practices. The ideal candidate will have expertise in analytical tools such as SQL and Excel, and an advanced degree in a related field is preferred.

Qualifications

• 8+ years of compensation or analytics experience with depth in technical roles.
• Proficiency in Excel and knowledge of SQL, Python, or R for data analysis.
• Strong knowledge of third-party survey methodologies.

Responsibilities

• Serve as the dedicated compensation partner for the Technology organization.
• Own compensation cycle execution for tech client groups end-to-end.
• Lead competitive intelligence for technical roles.

Skills

Compensation analysis

Advanced analytical skills

Communication skills

Data analysis (SQL, Python, R)

Education

Advanced degree in a quantitative field

Tools

Excel

Workday

Tableau

Job description

About the Role

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.

The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision‑making across the company.

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, Machine Learning/AI, and Data Science.
• 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.
• Own compensation cycle execution for tech client groups end‑to‑end, 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.

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.
• Experience leading cross‑functional compensation initiatives and comfort 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.

Location

This position is US – Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

EEO & Inclusion Statement

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 [e-mail]. 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.

Pay Range

Pay Range: $168,000—$210,000 USD