Engineering Director, AI Engineering

Hex; United States; On-site; USD 300,000 - 425,000; Full time

Benefits offered by this job

Health benefits

Equity

Flexible PTO

Job summary

HexHex is seeking a visionary leader to head its AI engineering team, partnering with the CEO and CTO to shape post-training research, model evaluation, and continuous learning. Based in the US, this full-time role can be based in San Francisco or New York with a hybrid schedule.

You will hire and guide a top-tier team of AI engineers and researchers, drive partnerships, and produce high-impact technical content to showcase our research outcomes across audiences.

Qualifications

• 5+ years leading applied research, AI engineering, or ML engineering teams.
• Deep expertise in modern AI technology and classical ML systems including LLMs and transformer models.
• Passion for delivering exceptional product experiences backed by AI and driving business outcomes.
• Strong communicator and collaborator, empowering product and engineering counterparts.
• Talent magnet with ability to attract and retain AI talent.
• Experience with RL environments is a plus.

Responsibilities

• Partner with the CEO and CTO to define and execute research strategy across post-training, model evaluation, search and retrieval, and continuous learning.
• Manage research partnerships with startups and major labs.
• Hire and manage an exceptional team of AI engineers and researchers.

Skills

AI leadership

ML engineering

Cross-functional collaboration

Product-focused

Communication skills

Talent magnet

Job description

About HexHex 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 the company for our beautiful UI, agentic superpowers, and boundless flexibility.

the company 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 the company video and employee handbook to learn more about what it’s like to work at the company.

About the role:The shape of data work is changing rapidly, and the company 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 the company to empower everyone in their organization to use data with trust and confidence.

Behind all of these innovations is the company’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 the company 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 stackOur 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, the company 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 the company Privacy policy: https://learn.the company.tech/docs/trust/privacy-policy.