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Hex Technologies

Collaborative data analytics platform with notebooks

Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • At least 5 years of hands-on experience as a Product Manager, product-engaged Solutions or Sales Engineer, or customer-engaged Engineer.
  • Experience with technical products and the ability to dive deeply into complex systems.

Responsibilities

  • Own a product area and drive a coherent product vision that resonates with customers.
  • Conduct early discovery and help define which problems are worth solving.
  • Engage deeply with customers to understand their roles, goals, and how to make them more impactful in their work.
  • Conduct competitive research and develop deep knowledge of the data and analytics space and its market.
  • Collaborate closely with engineering, design, and go-to-market teams to deliver high-impact features.
  • Learn from the sales process to understand what is resonating.

Desired Qualifications

  • Experience or strong interest in data and analytics.

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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