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Salary: USD 300,375 - 425,000 / annual
Hex is a collaborative analytics and data science workspace that empowers users to explore data using natural language, with or without code. The company has raised over $100M from leading investors including Sequoia, a16z, and Snowflake, and serves thousands of customers including Ramp, Figma, Stubhub, Anthropic, and Gamma.
As Engineering Director of AI Engineering, you will lead Hex's AI engineering team—a group that blends research and technology with building products users depend on. You'll partner directly with the CEO and CTO to define and execute research strategy across post-training, model evaluation, search and retrieval, and continuous learning. You'll manage research partnerships ranging from small startups to major labs, and drive the production of high-quality technical content sharing Hex's research outcomes externally.
The role involves hiring and managing an exceptional team of AI engineers and researchers. Hex's AI team has shipped industry-leading innovations including the first data agent, the first fully generative dashboard experience, and a frontier benchmark for measuring analytical prowess. The team is described as an eclectic mix of mathematicians, recovering marketers, data professionals, poker players, and creative personalities—this is the company's first AI engineering leadership hire.
Hex operates with office hubs in San Francisco and New York, plus remote team members throughout the US and UK. The role is hybrid, with expectations to come into the office at least twice weekly (Tuesdays and Thursdays are main in-person days).
REQUIREMENTS:
- 5+ years leading applied research, AI engineering, or ML engineering teams
- Deep expertise in modern AI technology and classical ML systems, including LLMs, transformer models, agentic workflows, context management, and agentic evals
- Passion for delivering exceptional product experiences backed by AI with obsession for driving business outcomes
- Strong communication and collaboration skills; ability to empower and uplevel product and engineering counterparts
- Demonstrated ability to attract and retain exceptional AI talent
- Experience with RL environments is a plus but not required
About Hex
AI / Data / Infrastructure; Data & Analytics — collaborative analytics and data science workspace.
