Sr. Compensation Manager

Databricks

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Mountain View, California; San Francisco, California First seen 3 weeks ago Last seen 10 minutes ago Greenhouse

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Job Description

AI Summary

• Sr. Compensation Manager role supporting R&D talent at Databricks, reporting to Senior Director of Compensation; focuses on compensation strategy, employee lifecycle management, and enterprise-wide program development • Requires deep expertise in job architecture, market pricing, pay frameworks, equity strategies in tech, and advanced data analysis skills (Excel, gSheets required; Tableau/SQL/Python preferred) • Key responsibilities include designing compensation models for technical talent (40%), managing pay cycles and processes (30%), and building scalable compensation frameworks (30%) • Must serve as trusted strategic advisor to founders and leadership on compensation decisions including offers, promotions, and M&A scenarios, with strong analytical and collaborative capabilities • Flexible location with preference for listed locations but candidates from other areas considered; role emphasizes innovative thinking and ability to anticipate future compensation needs

GAQ127R143

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our R&D org (technology and product teams). This is a key role on the Compensation function at Databricks, reporting to the Senior Director of Compensation. 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.

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!

Scope of the role

This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each:

Compensation solutioning for R&D Talent (40%)
Managing Compensation processes through the employee life cycle (30%)
Contributing to building and delivering enterprise-wide compensation programs/ frameworks (30%)

Requirements

We’re looking for someone who has the following muscles:

Comp expertise

Know your craft - Job architecture, Comp frameworks, Market pricing, Year-end and Midyear pay cycle, global compensation practices, pay for performance design
Know your data - Exceptional analytical skills with the ability to synthesize complex data into clear outputs and recommendations. Analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs. Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics though not a requirement
Know the competition - Deep expertise in tech compensation practices, especially around new-hire and refresh equity strategies in the tech sector
Be rational - Ability to balance comp knowledge with business solutioning from a first principles viewpoint.

Operational and partnership excellence

Build innovatively & scale effectively - create innovative frameworks/solutions to not just solve today’s issues but also thinking ahead and anticipating future needs
Operational capability - Ability to connect the dots between systems, players, programs to seamlessly deliver compensation programs/ products
Savvy collaborator - Partner closely with founders and executive leadership to pre-empt, understand and solve business needs. Navigate at times competing priorities and opinions to drive the best outcomes
Trusted advisor - Act as a trusted advisor on compensation decisions, including offers, promotions, leveling, retention and M&A scenarios. Support sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations.

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.

Zone 1 Pay Range

$217,800—$299,550 USD

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, please visit https://www.mybenefitsnow.com/databricks.

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.

Skills

go rust python sql

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Job Information

Company:
Databricks
Location:
Mountain View, California; San Francisco, California
Job Type:
Full-Time
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

Activity Score

66 /100

Likely Active (66)

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