💼 Enterprise Software | 🗓️ Founded in 2018 | 💲 Seed
👥 51-100 Employees | 📍 Fully Remote

About SalesIntel

SalesIntel empowers revenue teams with the highest quality data solutions and unparalleled experience to accelerate efficient growth. Their unique approach to data collection, enhancement, verification and growth solidifies their position as the top revenue intelligence platform on the market. They guarantee 95% data accuracy to supercharge businesses of all sizes.

Core Values:

  • Delighting Customers – We provide best-in-class customer experience.
  • Growing Together – Guided by grit and an enduring entrepreneurial spirit, we give the best of ourselves to each other and to our customers, every day.
  • Progress over Perfection – We aim high and seek continuous improvement in our solutions and in ourselves.

Technical Leadership Team

Wim de Nood

Director Of Technology
LinkedIn Profile

Lauren Kreisberg

VP of Product Management
LinkedIn Profile

Tech Stack


  • Angular

  • CSS

  • DynamoDB

  • HTML5

  • JavaScript
  • Python

  • Spark

  • Typescript

What They're Building

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Mission Statement

To empower revenue teams of all sizes with the highest quality data intelligence solutions and unparalleled experience to accelerate efficient growth.

Point of Contact

Anna Yelle

Account Manager
Send Email | LinkedIn Profile
Please reach out with any questions you have about SalesIntel's open opportunities.



  • 401(k)
  • 401(k) Matching
  • Dental Benefits
  • Disability Insurance
  • Flex Spending Account (FSA)
  • Health Insurance
  • Life Insurance
  • Vision Benefits


All engineering teams work remotely as part of the global team located across regions: US, Europe, India, Philippines

Technical Team

They have three main engineering teams, each formed from several squads of about 3-5 engineers: 1. Applications engineering team focused on end-user applications 2. Data engineering team focused on data extraction, pipelines, data science, processing, etc. 3. Research engineering team focused on developing tools, pipelines, and processes for data researchers