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San Francisco, California, United States
Hybrid
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.
As a Product Engineer Intern, you will work across the stack - paired with mentors and collaborating closely with designers, PMs, and AI engineers to build delightful, reliable, and intelligent user experiences.
You will:
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.