Full-Time

Sales Engineer

Commercial Mid-Market

Hex Technologies

Hex Technologies

201-500 employees

Collaborative data analytics platform with notebooks

Compensation Overview

$175k - $200k/yr

+ OTE (Base + Variable)

Remote in USA + 1 more

More locations: San Francisco, CA, USA

Hybrid

Occasional on-site travel to customer locations; remote work from PST regions.

Category
Sales & Solution Engineering (1)
Required Skills
Python
Data Science
SQL
Requirements
  • 5+ years of professional work experience
  • 3+ years in a Sales Engineer, Solutions Engineer, or similar customer-facing technical role
  • Experience working with Mid Market customers (250-2500 employees)
  • Experience with land Proof of Concept/Technical Sales Motions
  • Familiarity with data science tooling and workflows, including Python, SQL, and Business Intelligence tools
  • A strong track record of talking to customers from individual contributors to senior stakeholders and solving their problems
  • Excellent communicator who builds empathy, shares feedback, and grows successful relationships with internal and external stakeholders
  • A generalist technical skillset: you don't need a Computer Science degree, but should have a passion and interest for technology and be a creative problem solver
  • Experience or interest in working in an early-stage startup environment
Responsibilities
  • Serve as a trusted technical advisor to data teams and build strong relationships to help them get the most out of Hex during their evaluations
  • Own the technical sales cycle and work with end users throughout the sales cycle from discovery and product demos through trials, and proofs of concept
  • Partner closely with Account Executives to develop opportunity-level strategy, execute evaluations, and share feedback to improve partnership
  • Inform the product roadmap by synthesizing product feedback from prospects to share with internal Engineering and Product teams
  • Project manage the architecture, security, and technical reviews that prospects require
  • Develop content to support users who are a part of evaluations i.e. demo projects, documentation, videos, etc.
  • As needed, travel to customer on-sites and marketing events to deliver demos and build strong customer relationships
Desired Qualifications
  • Bonus points if you have spent lots of time in notebooks, SQL Integrated Development Environments, or app-building frameworks
  • Familiarity with data science tooling and workflows, including Python, SQL, and BI tools

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 C

Total Funding

$177M

Headquarters

San Francisco, California

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Snowflake Ventures investment deepens lakehouse integrations.
  • $70M Series C from Avra, Sequoia funds AI expansion.
  • No-code workflows empower business users for self-service analysis.

What critics are saying

  • Databricks Tabular acquisition bypasses Hex notebooks in 6-12 months.
  • Snowflake Cortex commoditizes Hex AI tools in 3-6 months.
  • Mode Analytics undercuts Hex freemium for SMBs in 12-18 months.

What makes Hex Technologies unique

  • Hex unifies SQL, Python, R, and no-code in AI-powered notebooks.
  • Context engine grounds AI in company-specific data and rules.
  • Hashboard acquisition adds user-friendly BI visualization tools.

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Your Connections

People at Hex Technologies who can refer or advise you

Benefits

Competitive salary & equity

Health, vision, & dental

Flexible PTO

Parental leave

401k matching up to 4%

Workstation + learning & development stipends

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
BBC Money
Jun 4th, 2025
AI Anticipation is High - But 77% of Data Leaders Still Aren't Sure What to Do Next

SAN FRANCISCO, CALIFORNIA / ACCESS Newswire / June 4, 2025 / Hex, the unified, AI-powered platform for analytics and data science, released its 2025 State of Data Teams Report today at Snowflake Summit 2025.

Business Wire
May 29th, 2025
Hex Lands $70M to Transform Data Science and Analytics With AI

Hex, the first unified, AI-powered workspace for data science and analytics, announced a $70 million Series C funding round today led by Avra, with participa...

SiliconANGLE Media
May 29th, 2025
Hex Technologies raises $70M for AI platform

Hex Technologies has raised $70 million in a Series C funding round led by Avra Capital, with participation from a16z, Amplify Partners, Box Group, Redpoint Ventures, Sequoia Capital, and Snowflake Ventures. This funding will be used to expand operations and enhance its AI-powered data analytics platform. The new investment brings Hex's total funding to approximately $172 million.

FinSMEs
May 28th, 2025
Hex Raises $70M in Series C Funding

Hex raises $70M in Series C funding.

FinancialContent
May 28th, 2025
Hex Secures $70M to Revolutionize Data

Hex Technologies has secured a $70 million Series C funding round led by Avra, with participation from a16z, Amplify, Box Group, Redpoint, Sequoia, and Snowflake Ventures. Hex, an AI-powered workspace for data science and analytics, aims to unify workflows and enhance collaboration across organizations. The company, founded in 2020, is trusted by major organizations like Reddit, StubHub, and the NBA to drive insights and improve data utilization.