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Hex Technologies

Collaborative data analytics platform with notebooks

Engineering Director - AI Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • At least 5 years of experience leading applied research, AI engineering, or machine learning engineering teams.
  • Deep expertise in modern AI technology and classical machine learning systems, including large language models, transformer models, agentic workflows, context management, and agentic evaluations.
  • Ability to deliver exceptional AI-backed product experiences and drive business outcomes.
  • Ability to communicate and collaborate effectively while empowering and developing product and engineering counterparts.
  • Ability to attract and retain exceptional AI talent.

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 partners ranging from small startups to major laboratories.
  • Drive production of high-quality technical content to share Hex research outcomes externally across audiences and platforms.
  • Hire and manage a team of AI engineers and researchers.

Desired Qualifications

  • Experience working with reinforcement learning environments is a plus, but is not required.

About the Company

Hex Technologies

Collaborative data analytics platform with notebooks

Hex.tech provides a collaborative data analytics workspace that unifies SQL, Python, R, and no-code in a single notebook interface, letting data teams analyze and visualize data without switching tools. It offers built-in AI that can generate queries, code, visualizations, and even start full analyses from a prompt, plus built-in data connections to warehouses, lakehouses, and databases. Real-time collaboration, version control, and reusable components support team workflows, with deep integrations to dbt, Snowpark for Snowflake, Spark, GitHub, GitLab, and workflow tools like Airflow, Dagster, and Prefect. The freemium model lets users start for free and pay for more features or capacity. Hex.tech’s goal is to make data analysis accessible and efficient for a wide range of users—from data scientists to business analysts and non-coders—by providing a user-friendly, end-to-end platform for querying, coding, visualizing, and sharing insights.

Company size
201-500
Company stage
Series D
Total funding
$271.5M
Headquarters
San Francisco, CA
Founded
2019

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