Description
As a Commercial Transformation intern at Databricks, you will join our world-class Commercialization team 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.
Your responsibilities will include:
- Driving strategic projects by owning 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.
- Informing high-stakes decisions by providing 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.
- Communicating with clarity by synthesizing 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.
- Enabling the field by ensuring 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.
- Influencing the roadmap by acting 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.
To be successful in this role, you will need to have:
- A strong interest in enterprise software/SaaS commercialization, operations, systems, and go-to-market strategy.
- Proficiency in Excel/Sheets and 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.