Engineering Director, AI Engineering
Hex · San Francisco, United States +1 · 13h 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.
About the role:
The shape of data work is changing rapidly, and Hex is the company pushing the boundaries of what’s possible, from the launch of the industry’s first data agent last year, to the first fully generative dashboard experience earlier this year, to building a frontier benchmark measuring analytical prowess. Data teams at Cursor, Clay, Hubspot, Chime, and many more use Hex to empower everyone in their organization to use data with trust and confidence.
Behind all of these innovations is Hex’s AI engineering team: a team that blends research and technology with building incredible products that users can’t live without. We equally love diving deep into the internals of the latest research papers as we do shipping features and working closely with customers.
Our team is an eclectic melange of mathematicians, recovering marketers, Data People, poker players, and one person who communicates exclusively via Bufo emojis. We are looking for our first leader – if this sounds exciting, we’d love to hear from you!
What you will do
Partner with the CEO and CTO to define and execute on research strategy across post-training, model evaluation, search and retrieval, and continuous learning
Manage research partnerships across a wide range of partners, from small startups to major labs
Drive the production of high quality technical content for sharing Hex research outcomes externally across a variety of audiences and platforms
Hire and manage an exceptional team of AI engineers and researchers
About you
5+ years leading applied research, AI engineering, or ML engineering teams
Deep expertise in modern AI technology as well as classical ML systems, including LLMs and transformer models, agentic workflows, context management, and agentic evals
Passion for delivering exceptional product experiences backed by AI and an obsession for driving business outcomes
Strong communicator and collaborator, empowering and upleveling product and engineering counterparts
Talent magnet, with the ability to attract and retain exceptional AI talent
Experience working with RL environments is not required, but is a plus
If you’re looking for more info about what we’re up to, check out our blog or some recent podcasts.
Our stack
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
The salary range for this role is: $300,375 - $425,000
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.