Join Databricks as a Sr. Compensation Manager to shape compensation strategies for G&A and international talent.
Skills & Technologies
AI in the day-to-day
Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics.
Joblaze summary
In this role, the Sr. Compensation Manager at Databricks will focus on developing and managing compensation strategies that align with the company's goals, particularly for its G&A and international teams. The position requires expertise in compensation frameworks, data analysis, and a deep understanding of tech industry practices, with proficiency in tools like Excel and SQL being essential. This role is ideal for a seasoned professional who can navigate complex organizational needs and collaborate effectively with senior leadership. Databricks emphasizes innovative solutions and operational excellence, making this a pivotal position in shaping the company's compensation landscape.
Joblaze insights
Quick facts
From the original posting
(GAQ227R300)
Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our G&A org (Finance, People, Legal, IT), as well as leaders in our international locations. This role will support long-term business objectives by working within the overall Compensation philosophy to co-create compensation models that help attract, retain and motivate world-class technical talent. This role reports to the Senior Director of Compensation.
At Databricks, we don't believe compensation is just a number; it's a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member with a solid foundation and history of success in doing just that!
The impact you will have:
This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each:
What we look for:
Comp expertise
Operational and partnership excellence
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.