Data Platform Product Intern

Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.

The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.

At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.

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.

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  GenAI Prototyping (Anchor Project): Lead the end-to-end development of an internal-facing GenAI capability. This could range from a natural-language data quality assistant to a metadata enrichment agent against Unity Catalog. You’ll take it from problem framing through to user testing.

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  Strategic Investigations: Conduct competitive scans of the emerging Databricks ecosystem and adjacent tooling. Synthesize user research from internal data platform stakeholders to identify friction points.

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  Technical Roadmap Contribution: Help define schemas, APIs, and contracts. You will contribute directly to the artifacts shared with engineering and executive audiences.

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  Agile Integration: Operate as an embedded member of the team, participating in biweekly Data Platform demos, engineering standups, and select executive reviews.

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  Weekly Mentorship: Close collaboration and weekly 1:1s with the Principal Product Manager of Data Platform.

We value "builders" over "strategists." We are looking for technical fluency, a shipping mindset, and a genuine curiosity about how AI is changing the data stack.

• Technical Data Foundations: Strong SQL skills. You should be comfortable reading complex queries, understanding data models, and exploring datasets in a notebook (Databricks exposure is a plus, but not required).

• GenAI Builder Mindset: You’ve built something with an LLM API or used tools like Cursor, Claude Code, Lovable, or v0 to ship a working prototype. You understand the difference between a "demo" and a "product."

• Product Craft: You instinctively ask "who else needs this?" and "what breaks at scale?" You are comfortable with abstraction and can see the connections between disparate technical problems.

• Evidence of Shipping: You have a GitHub, a portfolio, a bot, or a side project that exists because you made it. You default to building a rough version over writing a long, theoretical document.

• Academic Background: Currently pursuing an Undergraduate degree in Computer Science, Data Science, Information Systems, or Business with a heavy technical focus.