Product Engineer Intern

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.

This is a hybrid role (3 days per week in office) based in San Francisco.

In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.

The salary range for this role is: $11,000 per month + housing stipend.

The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.

By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

Hex Technologies uses AI-assisted tools as part of our application review process, including for resume screening and fraud detection. These tools help our team evaluate applications and verify applicant information. All AI-generated recommendations are reviewed by a member of our recruiting team before any hiring decision is made. No application is automatically rejected based solely on an AI tool's output.