Staff Product Manager, Self-Service Analytics

At Databricks, we have built the most capable platform for data teams to leverage AI and analytics to put their organization's data to use. Our ambition is to enable everyone, including those outside traditional data-specialist roles, to do the same. You will be the product manager for our self-service analytics capabilities, leading the charge to make the Lakehouse simple to use for non-technical users. This includes evolving our existing dashboarding capabilities within Databricks SQL, advancing core analytical foundations in data modeling, as well as leveraging technical innovations such as large language models (LLMs) to democratize access to data and insights.

You will coordinate all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with multiple internal stakeholders (both pre- and post-launch) to ensure product success.

 

The impact you will have:

• Articulate the vision and define the roadmap to democratize data in the Lakehouse
• Define product requirements and work closely with your engineering and design counterparts to bring products to life.
• Work closely with our customers and field engineering counterparts to develop a deep understanding of customer needs
• Lead the charge to make Databricks simpler and more accessible to non-technical persona

 

What we look for:

• An accomplished product leader with prior experience launching and growing an enterprise SaaS product
• Strong understanding of the business intelligence market and related technologies (e.g. data warehousing, dimensional data modeling, SQL).
• 7+ years of experience leading technically complex enterprise products.

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)

About Databricks

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

 

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.