Great Question

About Great Question: Great Question is the all-in-one AI customer research platform for understanding your customers. Our platform enables teams to recruit participants, run research, and share insights – all in one place. Backed by world-class investors and trusted by industry-leading teams like Gusto, Experian, Canva, and Brex, we’re building the future of customer research. We believe AI is a multiplier for creativity, speed, and scale. Everyone on the team is encouraged to lean into AI, not just to be more efficient, but to push boundaries and unlock new possibilities. Whether you’re writing, designing, coding, or analyzing, we expect you to explore how AI can elevate your craft. Our culture is built on high trust, high agency, and high emotional intelligence. If you’re looking for a place where your voice matters, where work is fun, and where you're empowered to do your best - join us in redefining user research 🚀 About This Role: We're hiring an AI-native Software Engineering intern for the summer. We're looking for an AI-native engineering intern to join us for the summer. You'll ship real features alongside the team — not a side project, not a sandbox. If you're already building with AI on your own time, this is a chance to do it at a company where it's the product. You'll own a real project from day one, working directly with our CTO as your mentor for the full three months, and launching to real users. You’ll work on interesting and challenging AI-focused projects related to some of the AI challenges our team is facing. A few examples: Semantic search across tens of thousands of interview hours Realtime agentic AI moderator - TTS, STT & Vision awareness MCP tool structuring and prompt tuning Setting up evals and quality measures across MCP tools and internal agents What You'll Be Responsible For: Owning the full lifecycle of your project — from scoping through to shipped, production-ready code Building and iterating on AI systems: LLM pipelines, agents, retrieval systems, evaluation frameworks, or prompt optimization (depending on the project) Writing production-quality, tested, well documented code for people and agents that goes through the team's standard review process Participating in daily standups, code reviews, and architecture discussions alongside the engineering team Driving SOTA AI practices and tool usage Helping the team level up on AI — whether that's demoing a new approach in standup, pairing with engineers on AI-powered features, or just being the person who's always experimenting Presenting your work to the team and leadership at the end of the program — what you built, what you learned, what comes next About You: You're already doing this on your own time. You've built agents, experimented with novel prompting approaches, or shipped AI tools as side projects. You don't need to be told to start building — you just do. What Matters: You have repos, weekend builds, or side projects that show how you think about AI — send them You're a decent engineer: comfortable with Python/Javascript/Ruby, Git, testing, and shipping real software You're really good with AI: you've gone beyond tutorials into building things that actually work - and stay working a month later. You're a self-starter with a hacker profile — you figure things out without waiting for instructions You're curious and opinionated about where AI tooling is headed You communicate clearly — you can explain what you built and why What matters less: specific degree, years of experience, or which framework you prefer. How to Apply: Send us three things: A lightweight demo that shows us why you want to work at Great Question. Build something with AI — a repo, a deployed tool, a video walkthrough. It doesn't need to be polished. We want to see how you think, what you reach for, and whether you engaged with what we're building. A short written answer: Why are you right for this role? Your resume. For con