YC alum Great Question doubles down on ‘AI-native’ engineering with new internship push
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Moving Beyond the Sandbox
Great Question, the Y Combinator-backed customer research platform, is shifting its talent acquisition strategy toward what it calls “AI-native” engineers. In a move that signals a broader industry trend toward integrating LLMs into the core product architecture rather than as superficial wrappers, the company has opened applications for a specialized software engineering internship for the summer of 2026.
Unlike traditional internship programs that often relegate junior talent to internal tooling or isolated “sandbox” projects, Great Question is positioning this role as a direct line to production. The company, which serves a roster of high-growth clients including Canva, Brex, Gusto, and Experian, is tasked with solving high-friction problems in the user research lifecycle—specifically the gap between conducting an interview and extracting actionable synthesis from hours of raw video and audio.
The Technical Roadmap: Agents and Semantic Search
The focus of the upcoming cohort isn’t just on feature maintenance, but on solving specific bottlenecks in the AI research pipeline. The company has outlined several high-stakes projects that the new interns will tackle under the mentorship of the CTO. Most notable is the development of a real-time agentic AI moderator. This system aims to integrate Text-to-Speech (TTS), Speech-to-Text (STT), and vision awareness to facilitate more dynamic, automated customer interactions.
Beyond moderation, the company is prioritizing the implementation of semantic search across tens of thousands of interview hours. For the modern product team, the ability to query a massive library of customer conversations with natural language—and receive precise, context-aware answers—is the “holy grail” of user research. This requires sophisticated retrieval systems and the setup of rigorous evaluation frameworks (evals) across Model Context Protocol (MCP) tools and internal agents to ensure that AI-generated insights remain grounded in factual user data.
A Shift in Hiring Rubrics
Perhaps the most telling aspect of the announcement is how Great Question plans to vet candidates. In a departure from the credential-heavy hiring processes typical of Silicon Valley, the company is deprioritizing degrees and years of experience in favor of a “hacker profile.”
The application process centers on a lightweight demo—a repository, a deployed tool, or a video walkthrough—designed to show how a candidate thinks and builds with AI in their own time. By prioritizing those who have already shipped side projects and experimented with novel prompting approaches, Great Question is looking for engineers who treat AI as a primary medium rather than a secondary tool.
The Context of Customer Research
Founded by serial entrepreneurs Ned Dwyer and PJ Murray, Great Question entered the market in early 2021 with a mission to democratize the way companies interact with their users. Traditionally, customer research has been a fragmented process involving disparate tools for recruiting, interviewing, and analysis. By centralizing these into a single platform, Great Question has already gained traction with brands like Linktree and Adidas Runtastic.
The current push into agentic AI suggests that the company views the future of research not just as a way to store data, but as a way to automate the discovery of insights. As LLMs become more capable of handling long-context windows and multi-modal inputs, the opportunity to transform raw customer feedback into structured product roadmaps becomes a scalable software problem rather than a manual human one.
The internship is scheduled to run from mid-June through mid-September 2026, operating on a remote-friendly basis with core collaboration hours aligned to Pacific Standard Time (PST).
