Datasembly is invigorating retail decision making with massive amounts of pricing data collected from the internet.

Retail

Datasembly

Datasembly's headquarters in Washington, DC, United States

This department focuses on designing and implementing technical solutions to meet client needs while ensuring product functionality and performance.

Solutions Engineering

The Engineering Team at Datasembly is responsible for developing and maintaining the company's data collection, processing, and analytics infrastructure. This includes designing robust software systems, ensuring platform reliability, and creating solutions to support massive data ingestion and real-time pricing insights. Their efforts empower retail businesses to make informed pricing decisions.

Engineering

The Product and Data Team at Datasembly is responsible for gathering, analyzing, and visualizing vast amounts of pricing data to support retail decision-making. They ensure data quality and security, develop insights, and manage product features to deliver accurate, actionable information to clients.

Product and Data Team

The Customer Success Team at Datasembly ensures clients effectively utilize and derive maximum value from their pricing data tools. They provide dedicated support, facilitate seamless onboarding, and address any technical issues, ultimately driving customer satisfaction and retention.

Customer Success Team

The Sales Team at Datasembly is responsible for driving revenue growth by acquiring and managing enterprise clients. They leverage Datasembly's extensive retail pricing data to develop tailored solutions for clients, forging strong relationships and ensuring customer satisfaction. This team strategically targets key markets, negotiates contracts, and monitors sales performance to meet and exceed company targets.

Sales Team

This department focuses on fostering client relationships and driving business growth through strategic development initiatives.

Client Development

This department focuses on analyzing and interpreting complex data to support decision-making and strategic initiatives.

People (3)

Jobs (0)

Other teams

Engineering

Product and Data Team

Customer Success Team

Sales Team

Client Development

Data Analytics