Posted:
11/27/2024, 6:51:35 AM
Location(s):
Seattle, Washington, United States ⋅ Washington, United States
Experience Level(s):
Senior
Field(s):
Product
Pay:
$244/hr or $507,520 total comp
RDQ326R105
Do you want to work with creative, passionate, and nurturing team members? Do you want to tackle highly strategic problems that require you to not just look what’s around the corner but play out multiple steps ahead? Does tackling really hard problems and building great products by doing so excite you?
If you answered yes to all the above questions then this role is the right fit for you.
Our mission at Databricks is to be a generational Data and AI company. Databricks has successfully created a new market category of the Data Lakehouse (CIDR 2021 paper), an open platform that unifies data warehousing, ELT, advanced analytics, and AI. The Lakehouse architecture addresses several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.
Core to the lakehouse is the catalog - and Unity Catalog is the first open, unified, and intelligent lakehouse catalog, designed to secure and govern all data and AI assets. In this role you will have the opportunity to define industry standards for data+AI governance and interoperability. This is a rare opportunity to shape the trajectory of a new market category.
As part of the Unity Catalog Ecosystem team, you will ensure that Unity Catalog integrates effortlessly across tools and platforms, empowering enterprises to simplify governance and unlock the full potential of their data.
What is it like to be a PM at Databricks?
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