Staff Product Manager, Data and AI Partner Ecosystem

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 native integration with a wide network of partners that they use together with Databrick to solve their most complex challenges. The Databricks ecosystem includes a wide range of partners covering Business Intelligence, Generative AI, Data Ingestion, Data Preparation, Governance, Security and many more horizontal and industry-leading Data and AI partners across Finance, Healthcare, Advertising, and many more.

In this role, you will lead our partner ecosystem product strategy, and own the roadmap for all aspects of partner strategy and ecosystem integrations. You will define our product partnerships strategy across product lines (e.g. Data warehousing, Data engineering, AI/ML, Governance, Data Sharing, etc) to identify the business priorities. You will also fully own the product strategy and roadmap for partner-focused Databricks product offerings, including Databricks Marketplace, Delta Sharing, Clean Rooms, and Databricks SQL drivers and connectors. Finally, you will work cross-organizationally across product and engineering teams to define & deliver cross-cutting projects to enable unique, one-of-a-kind offerings with select strategic partners.

The impact you will have:

• Develop a deep understanding of the Data and AI ecosystem
• Articulate the strategy to 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 Partner Connect, Marketplace, Clean Rooms, and Delta Sharing
• Define and execute the product roadmap for our data warehousing drivers and connectors
• Drive and deliver integrations with strategic partners, including defining and driving changes across team boundaries

What we look for:

• Strong understanding of the Data and AI ecosystem
• 7+ years of experience leading technically complex enterprise products
• 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.

Zone 1 Pay Range

$159,500—$223,325 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, 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.