Data Platform Product Intern

G-P

13h•Remote

About The Position

The G-P Data Platform sits at the intersection of three forces reshaping how we operate: the migration of workloads onto Databricks, the emergence of LLM-driven tooling (Genie, Unity Catalog AI), and a massive internal demand for self-serve data products. We are looking for a Data Platform Product Intern to act as a high-leverage partner to our Product leadership. This isn't a "shadowing" role; you will be expected to prototype, investigate, and pressure-test ideas that will meaningfully accelerate our roadmap. You will gain deep exposure to AI-native product management while building tools that empower non-technical stakeholders across a global organization.

Requirements

Strong SQL skills. Comfortable reading complex queries, understanding data models, and exploring datasets in a notebook.
Experience building something with an LLM API or using tools like Cursor, Claude Code, Lovable, or v0 to ship a working prototype.
Instinctively ask "who else needs this?" and "what breaks at scale?"
Comfortable with abstraction and can see the connections between disparate technical problems.
A GitHub, portfolio, bot, or side project that exists because you made it.
Currently pursuing an Undergraduate degree in Computer Science, Data Science, Information Systems, or Business with a heavy technical focus.

Nice To Haves

Databricks exposure is a plus, but not required.
Understand the difference between a "demo" and a "product."
Default to building a rough version over writing a long, theoretical document.

Responsibilities

Lead the end-to-end development of an internal-facing GenAI capability, from problem framing through to user testing.
Conduct competitive scans of the emerging Databricks ecosystem and adjacent tooling.
Synthesize user research from internal data platform stakeholders to identify friction points.
Help define schemas, APIs, and contracts.
Operate as an embedded member of the team, participating in biweekly Data Platform demos, engineering standups, and select executive reviews.
Close collaboration and weekly 1:1s with the Principal Product Manager of Data Platform.