Sr. Compensation Manager, R&D

Neon; United States; Presencial; USD 218 000 - 300 000; Tempo integral

Resumo da oferta

Databricks seeks a strategic compensation lead to partner with founders and senior leadership. This role drives R&D compensation strategy, policy design, and global equity initiatives to attract world-class technical talent.

As a hands-on leader, you will shape pay frameworks, analyze data, and guide decisions on offers, promotions, leveling, retention, and M&A scenarios with a data-backed approach.

Qualificações

• Experience building compensation programs for tech orgs.
• Strong analytical ability to translate data into recommendations.
• Recent hands-on experience with global compensation practices and equity strategies.

Responsabilidades

• Design and optimize compensation solutions for R&D talent.
• Manage compensation processes across the employee lifecycle.
• Contribute to enterprise-wide compensation frameworks and programs.

Conhecimentos

Job architecture

Comp frameworks

Market pricing

Pay for performance design

Analytics

Data interpretation

Tableau

SQL

Python

Excel

Ferramentas

Tableau

SQL

Python

Excel

Descrição da oferta de emprego

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 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.