Prodigal
A Data Engineer at Prodigal contributes to the company's Agentic AI platform for consumer finance by enabling reliable and high-quality data infrastructure. The role works closely with product, AI, and business teams to support data-driven decisions and research initiatives. You will join a fast-paced, VC-backed startup focused on transforming lending and collections.
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.
Our Series A Investment in Prodigal: Humanizing the Lending Process and Ecosystem
Jul 22, 2021
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