Github Intern Jobs in Oregon (NOW HIRING)

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.

• 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.

• 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.

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

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

• 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.

• Duration: 10-12 weeks (Summer 2026), with potential for part-time extension into the school year.

• Location: Remote. Preference for candidates based in the Americas (North, Central, or South) to enable real-time collaboration with the team.

The annual gross base salary range for this position is $60,000 (prorated over 12 weeks)