RDQ426R143
Databricks is on a mission to simplify and democratize Data and AI, helping customers solve the world’s toughest problems. To achieve this, we strive to offer our customers access to the world’s most open Data and AI ecosystem, enabling them to benefit from a wide network of partners that they use together with Databrick to solve their most complex challenges. The Databricks data collaboration ecosystem includes a wide range of partners including data vendors, identity providers, software companies, and a wide range of data-rich companies that provide Databricks customers with the most valuable and critical Data and AI assets natively within the Databricks platform.
In this role, you will lead our data collaboration ecosystem product strategy, and own the roadmap for all aspects of data collaboration. This includes Delta Sharing, our open source sharing protocol; Databricks Marketplace, our open marketplace for Data and AI; and Databricks Clean Rooms, our privacy-safe data collaboration offering. As part of this role, you will define our strategy to identify the business priorities across verticals and use-cases. You will also own the product roadmap and implementation, working closely with engineering to develop a differentiated data sharing and collaboration offerings. Finally, you will work cross-organizationally with sales and partnerships teams to drive adoption and grow the data sharing and collaboration network.
The impact you will have:
- Develop a deep understanding of the data collaboration & sharing ecosystem
- Articulate the strategy to build the world’s most open Data and AI ecosystem
- Work closely with customers and partners to understand their technical and business needs
- Define product requirements and work closely with your engineering and design counterparts to build new features
- Define and execute the product roadmap for Delta Sharing, Marketplace, and Clean Rooms.
What we look for:
- 7+ years of experience leading technically complex enterprise products
- Strong understanding of the collaboration & sharing ecosystem
- Prior success developing and bringing net new products to market
- Excellent verbal and written communication
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.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
