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RDQ226R574
At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
As a Product Operations intern, you will join our world-class product operations team to drive insights and impact across Databricks. Throughout the internship, you will be mentored by a dedicated sponsor and have the opportunity to connect with senior leaders across the organization.
Impact you will have
- Collaborate with Product Management, Engineering, Field, and cross-functional teams to drive strategic initiatives, including product lifecycle management and go-to-market strategies.
- Tackle complex business challenges by structuring problems, conducting data analyses, and synthesizing insights from customer feedback, product usage metrics, and partner inputs to inform product and engineering decisions.
- Build and maintain the foundation for enterprise-level analytics and reporting, leveraging Databricks products and AI tools to unlock deep insights.
- Identify operational inefficiencies and lead process improvement initiatives to optimize workflows, reduce costs, and enable scalability across teams.
- Deepen your understanding of enterprise software business challenges and develop new skills that will support your career growth at Databricks and beyond.
Who You Are:
- You will graduate in Spring 2026 from an MBA program.
- You have 3-5 years of previous professional experience in management consulting, investment banking, strategy, operations, business analysis, or related fields.
- You demonstrate an advanced ability to define and break down ambiguous and complex business problems with limited guidance
- You are an excellent communicator (written and oral), with an ability to synthesize complex information into clear, insightful takeaways and action-oriented recommendations.
- You put the team before yourself and are willing to get hands-on, no matter how small the task.
- Previous experience in enterprise software preferred.
- Strong SQL expertise is required.
- Preferred: experience using AI/ML to develop and implement data-driven solutions.
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.
SF Bay Area Hourly Rate
$40—$45 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.
Top Skills
Databricks San Francisco, California, USA Office
160 Spear Street, San Francisco, CA, United States, 94105
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