Prodigal
This role involves building and deploying LLM-powered AI agents in production, owning their end-to-end lifecycle from design to continuous iteration. The position requires designing and optimizing prompts, RAG pipelines, and evaluation frameworks to enhance system accuracy and reliability. It also entails collaborating directly with customers and Implementation Managers to solve real-world problems and drive successful project outcomes.
Headquarters
Mountain View, California, United States
Company Size
51-200 employees
Founded
2018
Prodigal builds purpose-built AI agents that automate loan servicing and debt collections to increase self-serve payments, lower operational costs, and improve borrower experiences. Their agents run across voice and digital channels, integrate out‑of‑the‑box, and operate 24/7 — offered as products like proAgent and ProNotes (now available in Spanish). Prodigal connects to servicer and collections systems to automate outreach, payment capture, and case notes while helping maintain compliance. Lenders, loan servicers, and collection agencies use Prodigal to scale operations, boost recoveries, and reduce contact‑center load.
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 Prodigal.
Prodigal didn’t post a salary, so this is our estimate from similar listings.
7% above the average for this role
Our Series A Investment in Prodigal: Humanizing the Lending Process and Ecosystem
Jul 22, 2021