Posted:
10/4/2024, 11:46:21 AM
Location(s):
California, United States ⋅ Mountain View, California, United States
Experience Level(s):
Senior
Field(s):
Data & Analytics ⋅ IT & Security ⋅ Product
Pay:
$206/hr or $428,480 total comp
GAQ425R50
At Databricks Information Technology, we are a product led organization transforming the way data is sourced, designed and used to help us scale seamlessly in face of incredible growth. We are looking for an experienced Data and Analytics Product Manager who will drive our enterprise data and AI strategy using Databricks own product set for all internal use-cases.
As the Data and Analytics Product Manager, you will work closely with leaders and partners across the company to form and deliver the roadmap of data and AI products aligned with our best practices and to meet our long-term goals. You will own the business outcomes of the data, analytics and AI projects by working closely with the engineering and analytics teams.
You will join a growing Data Analytics, Engineering & Integration team and will report to the Sr Director of Data Engineering, Analytics and Integrations
The impact you will have:
What we look for:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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