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 ensuring the quality and reliability of products through testing and validation processes.

Quality Assurance

The Leadership Team at Pipl is responsible for setting the strategic direction of the company, driving innovation in people data solutions, and ensuring alignment across all departments. They collaborate on high-level decision-making, oversee the execution of the company's vision, and engage with stakeholders to enhance Pipl's market position and operational effectiveness.

Leadership Team

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

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.

Sales and Customer Success Team

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

People (5)

Jobs (0)

Other teams

Leadership Team

Data Science and Engineering Team

Software Development Team

Sales and Customer Success Team

Data Engineering