Dscout
The AI Data Engineer at Dscout will design, build, and own data pipelines that move and transform data from application and third‑party sources into relational databases, ensuring reliability and quality as volume grows. The role collaborates closely with analytics engineering and ML teams to develop data models, evaluation systems, and production AI infrastructure, while maintaining high standards for data quality and documentation.
Headquarters
Chicago, Illinois, United States
Company Size
51-200 employees
Founded
2011
Dscout is an AI-powered feedback and testing platform that helps teams get input from real people to validate ideas, iterate quickly, and build with confidence. It offers an AI-native research suite — including AI-moderated interviews, study drafting, automated insight extraction, and a verified participant pool — covering methods such as usability testing, diary studies, surveys, and field studies. Product, design, and research teams use Dscout to move faster from question to decision with a combination of authentic human input and agentic AI tools.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Dscout.
Dscout didn’t post a salary, so this is our estimate from similar listings.
21% below the average for this role
Dscout raises $70M to help companies better know their customers
Mar 18, 2022