Product Engineer, Editor

About the role

At Hex we are using AI to reinvent how everyone interacts with data, enabling rich data analysis and exploration using natural language. We’re looking for full-stack engineers across all levels to build the best tools for data teams and technical users to interact with their data.

Our mission is to empower users to understand data with AI agentic capabilities in analytics workflows. This is an opportunity to work at the front line of one of the most exciting technological shifts of our time. An AI-specific background is not required to succeed in this role, but you do need a sense of curiosity, creativity, and adaptability to keep up with a fast-moving space.

What you will do

As an engineer on the Editor team, you’ll work across the full stack to shape the core user experience of Hex. We work on the critical path where users create, collaborate, and scale their work on the platform.

A few cool things the team has worked on:

• We built the first AI agent at Hex! We built the foundational agent framework for other product teams to build on, powering future AI workflows. We keep a close eye on industry best practices and and green field features from leading providers such as OpenAI and Anthropic - it helps that they’re a customer!
• We partner closely with embedded AI engineers and our research team, on context engineering tactics, and prompting strategies and keep up with optimizations and the latest models as soon as they become available, bringing refined, high quality and reliable responses users.
• We design and architect seamless integrations with Slack and other tools to meet our customers where work is being done, bringing conversational flow and expanding our footprint across customer workspaces.
• We enhance developer workflows with features like AI-powered code typeahead, and in-product reviews bringing software development lifecycle best practices to data practitioners.
• We solve complex UX challenges around multiplayer editing, real-time collaboration, and performance at scale in data intensive applications.

About you

• 3+ years of experience as a full-stack software engineer, comfortable navigating the entire application stack and building full-stack applications with React and Typescript.
• You have a strong understanding of front-end and back-end development principles, with an appreciation for elegant user experiences and a track record of leading and executing major product initiatives end to end.
• You have strong instincts around technical strategy and product alignment, balancing velocity with engineering excellence.
• You have empathy for data teams and understand the challenges involved in answering complex data questions, and working with modern data warehouses.
• You are excited by the opportunity to work at the forefront of AI development, tackling novel problems in agentic user interactions, user patten and reliability.
• You are pragmatic and action-oriented, focused on delivering high-quality solutions that directly contribute to business-critical features.

This role will be hybrid (2 days per week in office) based out of our San Francisco, California headquarters. 

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: $170,000 - $270,000

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.