MBA Intern - Product Operations

About the position

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.

Responsibilities

• 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.

Requirements

• 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.
• Strong SQL expertise is required.

Nice-to-haves

• Previous experience in enterprise software preferred.
• Preferred: experience using AI/ML to develop and implement data-driven solutions.