Open role

Frontend Engineer

US timezones

About Hex

Hex is a modern Data Workspace for teams. With Hex, Analysts and Data Scientists can explore, analyze, and visualize in collaborative notebooks, and then share their work as interactive data apps that anyone can use. This gives Data teams new superpowers, breaks down siloes, and empowers organizations to be truly data-driven.

About the Frontend Engineer role

We're looking for an experienced frontend software engineer to join as a member of our core team. You will have broad impact over the technology, the product, and our company's culture.

Our central product is a single-page web application for authoring code and conducting data analysis. It is written using React, Typescript, and GraphQL. As a frontend engineer at Hex, you will be responsible for:

  • Building out a powerful UI designed for analytical users, while maintaining usability and good design principles
  • Delivering complex client features including multiplayer functionality
  • Implementing new custom visualization components
  • Maintaining a high quality bar for design, correctness, and testing
  • Collaborating with product, design, and end users to help deliver a delightful end user experience
  • Helping grow the team and build an intentional culture

About You

We're looking for engineers who have:

  • 3-5 years experience with modern frontend technologies including React and Typescript
  • A passion for shipping high-quality product that delights users
  • Interest in the data products space, and a love of building tools that empower analysts to do more
  • Curiosity about the bigger picture of building a company, including go-to-market, customer development, people, and marketing

It's also great if you have:

  • Worked with other elements in our tech stack: Node, GraphQL, Postgres, Python, R, or Julia
  • Specific experience with visualization engineering, e.g., building charting components with D3
  • Experience in data analysis / data science, using, building, or integrating with modern technologies (e.g. Python notebooks, modern BI tools, data pipelines)


Caitlin Colgrove, CTO (