Posted:
11/12/2025, 12:55:44 PM
Location(s):
New York, United States ⋅ Seattle, Washington, United States ⋅ San Francisco, California, United States ⋅ Mountain View, California, United States ⋅ New York, New York, United States ⋅ Washington, United States ⋅ California, United States
Experience Level(s):
Senior
Field(s):
Product
Pay:
$244/hr or $507,520 total comp
GAQ426R306
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
This role is responsible for creating a cohesive and connected employee experience through scalable, streamlined programs. In the near term, it will lead the redesign of our new hire onboarding experience — building an integrated, automated journey that accelerates time-to-productivity, strengthens first-year retention, and reduces manual effort for cross-functional partners. Over time, this role will expand to evolve and enhance broader employee experience programs, including initiatives such as Employee Resource Group (ERG) programming.
As a Program Manager, you will own a large, complex, cross-functional strategic initiative by executing on the redesign and operationalization of our global onboarding experience. Your work will deliver impact across multiple Functions and Regions, and should be able to make a reasonable case for >$500K-$1M+ impact in time/cost savings and risk reduction by improving new hire setup efficiency and retention. You will be setting the standard for how Employee Experience programs are designed and scaled across the organization.
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.
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, 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.
Website: https://databricks.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 5001-10000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series I
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning