Product Engineer Intern — AI-Driven Data Tools | Hybrid SF

Hex

San Francisco (CA)

Hybrid

USD 123,000 - 134,000

Part time

6 days ago
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Benefits offered by this job

Market-benched salary & equity
Comprehensive health benefits
Flexible paid time off

Job summary

Hex is seeking a Product Engineer Intern to help build the next generation of AI-powered data tooling. You will contribute to features that help data teams explore, analyze, and collaborate using natural language and agentic AI capabilities.

You will work across the stack with mentors, designers, PMs, and AI engineers to ship real features, learn from experienced engineers, and contribute meaningfully to a fast-evolving technical space.

Qualifications

  • Pursuing a CS/Engineering degree, graduating in December 2026 or 2027.
  • Full-stack engineering experience with JavaScript/TypeScript and/or Python and shipped projects.
  • Interest in AI-driven product experiences and production systems.
  • Care about users and translating technical systems into polished experiences.
  • Curious, adaptable, and able to thrive in a fast-paced environment.

Responsibilities

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

Skills

Full-stack engineering
React
TypeScript
Python
AI-driven product
Collaboration
Shipping software

Education

Pursuing CS/Engineering degree, graduating 2026 or 2027

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 will contribute to features that help data teams explore, analyze, and collaborate using natural language and agentic AI capabilities.

You will work across the stack with mentors, designers, PMs, and AI engineers to ship real features, learn from experienced engineers, and contribute meaningfully to a fast-evolving technical space.

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