Engineering Lead
Hex · San Francisco, United States +1 · 2mo ago
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.
The role
We are looking for a hands-on engineering manager to drive the strategy, execution, and growth of Hex’s state-of-the-art AI context platform.
Our ambition is simple but powerful: Hex should get better every time you use it. With tens of thousands of people relying on Hex daily to do deep analytical work, we are uniquely positioned to learn from usage and continuously improve the intelligence of our system.
The context platform is at the heart of this vision. It is the surface area where users can understand how AI agents interact with their data, identify where quality falls short, and actively improve the context that drives better outcomes. We are building an entirely new development lifecycle for context, one that blends human insight with automated learning and iteration.
The broader AI landscape is evolving quickly, and our team is tackling foundational questions such as how to detect and debug failures in agent reasoning, how to structure and manage business context effectively, how to balance human-in-the-loop systems with autonomous improvement, and how to integrate our context layer with the growing ecosystem of AI-powered tools and workflows.
What you will do:
Lead a team working on Hex’s context platform
Drive technical strategy, review designs, and directly contribute with hands-on work
Serve as people manager for the engineers on the team, setting a high bar and empowering them to do their best work
Recruit exceptional engineering talent
About You:
4+ years of experience as a full-stack software engineer and
2+ years experience leading engineering teams working on complex, data-intensive, or AI-driven products and SaaS platforms
Exceptional ability to identify and design the right technical abstractions to accelerate an ambitious and evolving product vision
Deep curiosity for, and strong intuition about, state-of-the-art AI agent behavior and context systems
Proven track record as a people manager, with experience building and operating product engineering teams
Brings a clear playbook for building high-performing teams: setting clear technical standards, hiring and developing strong talent, and creating environments where extraordinary engineers can do their best work
Deeply technical leader who is not afraid to roll up your sleeves and get hands-on when necessary
Location & Compensation
This is a full-time role, based out of either our San Francisco, CA or our New York, NY office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
Salary range: $221,000-$295,000
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 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.