Pipl is a people data company that makes it easy for anyone to get contact, social, demographic and professional information about people.  

Information Technology

PIPL

PIPL's headquarters in Post Falls, ID, United States

This department is responsible for designing, developing, and maintaining software applications.

Software Development

The Data Science and Engineering Team at Pipl is responsible for developing and optimizing algorithms that enhance data acquisition and analytics processes. This team leverages advanced data engineering techniques to ensure high-quality, reliable data collection and transformation, enabling the effective analysis of people data. By collaborating across roles, they drive innovation in data solutions that support Pipl's mission to provide comprehensive contact, social, demographic, and professional information.

Data Science and Engineering Team

The Software Development Team at Pipl is responsible for designing, building, and maintaining the company's data-driven applications and platforms. They leverage a full-stack approach to create seamless user experiences while ensuring robust back-end functionality. Collaborating closely with DevOps and QA specialists, they focus on delivering scalable solutions that enable efficient access to comprehensive people data.

Software Development Team

This department focuses on developing and managing data infrastructure, enabling data processing, and supporting analytics functions.

Data Engineering

This department is responsible for ensuring the quality and reliability of products through testing and validation processes.

Quality Assurance

The Sales and Customer Success Team at Pipl is responsible for driving revenue growth by acquiring new clients and fostering strong relationships with existing customers. This team collaborates closely to ensure that clients leverage Pipl’s data solutions effectively, enhancing customer satisfaction and retention while identifying opportunities for upselling and expanding service offerings.

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Other teams

Data Science and Engineering Team

Software Development Team

Data Engineering

Quality Assurance

Sales and Customer Success Team