ashby
Product Engineer Intern
Hex
San Francisco, USA
Internship, Full Time
Entry
Hybrid
USD 11000-11000 monthly / month
Discovered 1 weeks ago
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Role Overview
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.
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About Hex
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp , Figma , Stubhub , Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we’re a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it’s like to work at Hex.
About the role
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.
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