DatabricksMBA Intern - Commercial Transformation
Title: MBA Intern - Commercial Transformation
Location: San Francisco, California
Content: RDQ227R1173
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 Commercial Transformation intern, you will join our world-class Commercialization team (COO org) to work on systems and process improvements that make it easier to launch, sell, and scale Databricks products and partner programs. During your 12-week internship, you’ll lead high-impact projects—from untangling 'messy' operational bottlenecks to architecting the systems that scale our global product launches—turning complex ambiguity into clear execution plans 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.
Impact you will have:
- Drive Strategic Projects: Own end-to-end commercialization transformation projects—from new product introductions to partner programs—by documenting current processes and identifying high-impact opportunities to simplify, automate, and scale.
- Inform High-Stakes Decisions: Provide the analytical rigor and data-driven insights necessary to monitor program health, building lightweight dashboards and metrics tracking that translate raw data into leading indicators for executive leadership.
- Communicate with Clarity: Synthesize complex business needs into clear requirements, user stories, and formal documentation (such as BRD/PRD sections) that bridge the gap between technical system requirements and executive-level strategy.
- Enable the Field: Ensure seamless execution of commercial initiatives by producing critical operational deliverables, including process maps, rollout checklists, and User Acceptance Testing (UAT) plans to prepare the field for new product launches.
- Influence the Roadmap: Act as a central point of alignment across RevOps, Sales, Finance, Legal, and Product teams, gathering diverse stakeholder input to ensure internal systems and workflows support the broader commercialization roadmap.
Who You Are:
- You will graduate from an MBA program in Spring 2027.
- You have 3-5 years of previous professional experience in management consulting, operations, systems projects, product/program management, or related fields.
- You demonstrate an advanced ability to define and break down ambiguous business problems and design efficient processes with limited guidance.
- You are an excellent, structured communicator (both written and oral), with the ability to synthesize complex data into clear stakeholder updates and action-oriented recommendations.
- You are highly organized and reliable, putting the team before yourself and remaining willing to get hands-on with multiple workstreams no matter how small the task.
- You have a strong interest in enterprise software/SaaS commercialization, operations, systems, and go-to-market strategy.
- You are proficient in Excel/Sheets and have experience using AI productivity tools (such as Claude Code and Lovable) to enhance your workflow.
- Previous experience with SQL or Databricks for querying and reporting preferred.
- Previous experience with go-to-market concepts (pricing, packaging, quoting) or platforms like SFDC, CPQ, NetSuite, or Jira preferred.
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.
SF Bay Area Hourly Rate
$40—$40 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.