MBA Intern - Product Pricing & Commercialization

RDQ
227R1172

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 Pricing & Commercialization Intern, you will join our world‑class Commercialization team to help shape the monetization strategies that power Databricks’ hyper‑growth. During your 12‑week internship, you’ll lead high‑impact projects—from designing pricing for new AI innovations to optimizing our global commercial frameworks—with opportunities for full‑time employment within the team the following year.

Throughout the internship, you will be mentored by a dedicated sponsor and have the opportunity to connect with senior leaders across the organization.

• Drive Strategic Projects: Own a high‑priority monetization project from data‑driven research to recommendation, such as defining the pricing for a new feature, evaluating a new market segment, and understanding competitor pricing models
• Inform High‑Stakes Decisions: Provide the analytical rigor, data‑driven insights, and first‑principles thinking that shape commercial thinking for product areas with significant revenue potential.
• Communicate with Clarity: Author insightful documents (e.g., internal strategy papers or Business Requirements Documents) that synthesize complex ideas for both technical and executive audiences.
• Enable the Field: Collaborate on creating product documentation and sales enablement content to ensure our field teams can effectively communicate Databricks’ value to customers.
• Influence the
  
  Roadmap:
  
  Work across the Pricing and Product teams to understand the cross‑portfolio consequences of pricing decisions, ensuring alignment across the product platform and CSP partnerships (AWS, Azure, GCP).

• You will graduate from an MBA program in Spring 2027.
• 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 (both written and oral), with the 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 and cloud platforms preferred.
• Previous experience with SQL preferred.

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.

SF Bay Area Hourly Rate

$40 — $40 USD

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, Linked In and Facebook.

At Databricks, we strive to provide comprehensive benefits and perks that meet…