DISQO

HQ
Glendale, California, USA
Total Offices: 2
302 Total Employees
Year Founded: 2015
DISQO is an audience insights platform where members, real people, share information that improves human experience.
DISQO’s mission is to build the world’s most trusted ad measurement platform that fuels brand growth. The world’s largest brands, agencies, and media companies trust DISQO for expert insight and AI-driven intelligence about their advertising performance across all platforms. We capture people’s sentiments and journeys, connecting them with the brands they value and the media they consume. With this identity-based approach, brands gain more accurate and authentic insight so they can create more meaningful interactions.

Founded in 2015 and headquartered in Los Angeles, DISQO is recognized as a hyper-growth tech startup and one of the best places to work in the US, with more than 300 team members globally. Follow @DISQO on LinkedIn and Twitter/X.

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DISQO Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

In 2023, we implemented a structured hybrid model for employees who live within 50 miles of any of our physical offices (Glendale, CA/Newtown, CT/New York, NY/Yerevan, Armenia). All other employees are encouraged to visit offices.

Typical time on-site: Flexible
HQGlendale, California, USA
New York, New York, USA
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What the Team is Saying

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Articles We're In

Image: Shutterstock
Alyssa Schroer Alyssa Schroer
Published on November 26, 2024

What Is Big Data in Marketing? 32 Examples.

These companies leverage data insights for marketing and advertising purposes.

Mae Rice Mae Rice
Updated on November 06, 2024

34 Big Data Examples and Applications

Big data has become an essential tool in many industries, ranging from marketing to healthcare. Here are some real-life examples of big data impacting everyday life.

Image: Shutterstock
Alyssa Schroer Alyssa Schroer
Updated on November 01, 2024

42 Big Data Companies to Know

To unpack big data is to unpack big solutions — check out the companies maneuvering data on a massive scale.

Image: Shutterstock

Technology We Use

AWS (Amazon Web Services)
AWS (Amazon Web Services)
SERVICES
AWS Redshift
AWS Redshift
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C++
C++
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GitHub
GitHub
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Golang
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Java
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JavaScript
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Laravel
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MySQL
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Node.js
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PHP
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PostgreSQL
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Python
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React
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Redis
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Redux
Redux
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Scala
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Spark
Spark
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Spring
Spring
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SQL
SQL
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Swift
Swift
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TensorFlow
TensorFlow
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Redshift
Redshift
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Google Analytics
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Illustrator
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JIRA
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Looker
Looker
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Mixpanel
Mixpanel
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Photoshop
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Tableau
Tableau
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Trello
Trello
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Salesforce
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SendGrid
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Wordpress
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OnGage
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Asana
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Google Hangouts
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Slack
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Zoom
Zoom
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