About Us

Founded in 2016 by a former mortgage industry executive and a PhD data scientist, ProPair is a Silicon Valley innovator that is empowering sales teams with machine-learning technology to improve the entire lead conversion lifecycle. Designed with the everyday needs of sales organizations in mind, and optimized on an ongoing basis together with client partners, the ProPair DECISIONS platform replaces outdated manual processes with lead management decisions powered by machine learning.

Why ProPair?

Niche Focus

We are uniquely focused on a particular set of easily solvable challenges related to lead management and conversion. Our niche focus enables us to rapidly address market needs.

Customer Centric

Our products are developed in response to industry pain points and in collaboration with customers. As a result, our tools provide immediate utility, empowering customers with a better way from day one.

Strong Reputation

Our team includes sales industry veterans and PhD data scientists. We are driven by a passion for moving sales teams forward and a commitment to delivering excellence.

Our Mission

Make it easy to automate and apply the best decisions across your entire consumer ecosystem.

Open Roles

ProPair Data Scientist – Role Summary

Mission for Data Scientist: To optimize performance and usage of ProPair products. Ensure products work as expected, monitor and optimize customer performance, and complete…

ProPair Sales Leader – Role Summary

Mission for Sales Leader: Increase revenue and customers in the next two years by signing six figure annual contracts with consumer direct mortgage lenders and other financial…

Ethan Ewing

CEO

Ethan has built and managed two successful mortgage lead generation businesses and brings a deep understanding of the dynamics of successful lead performance. He is responsible for developing and delivering successful client engagements.

Devon K. Johnson, PhD

CTO / Chief Data Officer

Devon has built data science functions for multiple businesses and has a passion for helping companies extract maximum value from their data assets. He is responsible for the development and optimization of all data products and infrastructure.