Trax Technologies
This role focuses on configuring, testing, and optimizing AI prompts to support automated data extraction and logistics invoice auditing processes. The position involves troubleshooting prompt errors, collaborating with cross-functional teams, and maintaining AI-driven workflows within a global supply chain technology environment. The ideal candidate will leverage prompt engineering skills to enhance model accuracy and support automation initiatives.
Headquarters
Irving, Texas, United States
Company Size
501-1000 employees
Founded
1993
Trax Technologies is a global freight audit and spend-management provider that helps shippers and logistics teams control and optimize transportation costs. Its AI-powered platform automates invoice auditing, payment validation, contract compliance and claims recovery while delivering visibility and analytics to identify savings and mitigate risk. Trax integrates with carriers, TMS and ERP systems to centralize data and streamline processes across complex global supply chains. Enterprises use Trax for its automation, analytics and global coverage to reduce costs, improve cash flow and increase audit accuracy.
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 Trax Technologies.
Trax Technologies didn’t post a salary, so this is our estimate from similar listings.
3% above the average for this role