Product Engineer Intern – AI Data Tools (Hybrid, SF)

Hex; San Francisco (CA); Hybrid; USD 112,000 - 134,000; Full time

Job summary

Hex is seeking a Product Engineer Intern to help build the next generation of AI-powered data tooling. You’ll work across the stack with mentors, designers, PMs, and AI engineers to create delightful, reliable user experiences and ship meaningful features to production.

You will contribute to end-to-end workflows, prototype agentic capabilities, and learn how prompts, context, and AI models integrate into real-world data tooling.

Qualifications

• Pursuing a CS/Engineering degree with planned graduation in 2027 or 2028.
• Experience with full-stack development (Javascript/Typescript/Python) and shipped projects.
• Interest in AI-driven product experiences.
• User-focused mindset and ability to translate tech into polished UX.
• Curious, adaptable, and able to thrive in a fast-paced environment.
• Enjoy collaborating and learning from more senior engineers.

Responsibilities

• Build real product features across the stack using React, Typescript, and/or Python.
• Collaborate with AI engineers to prototype agentic capabilities and improve model quality.
• Design and improve end-to-end workflows for collaborative editing, data exploration, or AI-assisted development.
• Solve engineering challenges including performance, UX, and API design for AI-driven features.
• Participate in the full development lifecycle from ideation to launch.

Skills

Full-stack engineering

Javascript

Typescript

Python

Education

CS/Engineering degree (pursuing)

Tools

React

Typescript

Python

Job description

Hex is seeking a Product Engineer Intern to help build the next generation of AI-powered data tooling. You’ll work across the stack with mentors, designers, PMs, and AI engineers to create delightful, reliable user experiences and ship meaningful features to production.

You will contribute to end-to-end workflows, prototype agentic capabilities, and learn how prompts, context, and AI models integrate into real-world data tooling.