Product Engineer Intern

Hex Technologies•San Francisco, CA

16d•Hybrid

About The Position

We are looking for a Product Engineer Intern to join us this summer and help build the next generation of AI-powered data tooling at Hex. Our mission is to empower users to understand and work with data using natural language and agentic AI capabilities. As an intern, you’ll contribute directly to product features that sit at the core of how data teams explore, analyze, and collaborate. You don’t need prior AI experience to succeed - we’re looking for curiosity, enthusiasm, and a willingness to dive into fast-evolving technology. This is an opportunity to learn from experienced engineers, ship real features to production, and contribute meaningfully to one of the most exciting technical spaces of our time.

Requirements

You are pursuing a degree in Computer Science, Engineering, or a related field, with plans to graduate in December 2026 or 2027.
You have full-stack engineering experience, ideally Javascript, Typescript and/or Python, and have built projects, academic, personal, or professional, that demonstrate your ability to ship software.
You have an interest in AI-driven product experiences, and are eager to learn how AI agents, prompting strategies, and context engineering work in production systems.
You care about users and enjoy thinking about how technical systems translate into polished, intuitive experiences.
You are curious, adaptable, and comfortable working in a fast-paced environment where priorities shift as new technology emerges.
You enjoy collaborating with others, asking questions, and learning from more senior engineers.

Responsibilities

Build real product features across the stack, using React, Typescript, and/or Python, helping power the core workflows used by thousands of data practitioners.
Collaborate with AI engineers to prototype and refine agentic capabilities, explore prompting strategies, and improve model quality across user-facing experiences.
Design and improve end-to-end workflows, contributing to features for collaborative editing, data exploration, debugging, or AI-assisted development.
Solve practical engineering challenges, such as performance optimizations, front-end UX improvements, and API design supporting AI-driven features.
Participate in the full development lifecycle, from ideation and design to implementation, testing, and launch.