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Hex Technologies

Collaborative data analytics platform with notebooks

Product Expert

Customer SupportConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 2 years of experience working as a data scientist, analyst, or analytics engineer using SQL and Python.
  • Beyond-the-basics experience with data science tooling and workflows, including Python, Jupyter notebooks, SQL, and business intelligence tools.
  • Analytical thinking ability to troubleshoot complex problems.
  • A strong track record of talking to customers, from individual-contributor users to senior stakeholders, and solving their problems.
  • Based in New York City and excited to work in the office at least 2 days per week, or based in Eastern or Central time zones.

Responsibilities

  • Serve as a primary contact for technical questions and use case development throughout the user lifecycle to help customers succeed.
  • Provide customer support via chat, email, and Slack, responding to user questions with empathy and useful insights.
  • Develop an understanding of the needs of different types of Hex users, apply that knowledge, and anticipate future questions.
  • Develop technical content, including demo projects, documentation, and videos, to help users get and stay successful with Hex.
  • Identify product weaknesses and common pain points, and provide feedback and suggestions to the Product team.
  • Work closely with Sales, Product, and Customer team members to understand users, speak to Hex's capabilities, and provide insight into user needs and wants.
  • Troubleshoot complex user workflows, investigate bugs, and help users apply Hex to solve them.

Desired Qualifications

  • Experience in a user-facing technical capacity, such as as a Data Consultant or Customer Engineer.
  • Familiarity with the contemporary data stack across ETL, storage, business intelligence, machine learning, and related areas, with demonstrated ability to stay up to date with developments.

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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