Argentl is building an AI-powered collections agent that automates outbound debtor follow-up. This is a founder-level, remote CTO role based in the United States, joining as Co-Founder & CTO to lead product and engineering for the venture. You will own production code from day one, set the technical direction, and lead end-to-end delivery. Architecture & Reliability — Harden the voice and workflow systems for in-production reliability, establishing core architecture, observability, and audit-trail standards for a product that speaks to customers' debtors on their behalf. Delivery Layer — Build the internal infrastructure that lets the team configure, monitor, and optimize agent performance without scaling engineering headcount; mature the workflow engine so every call, intent classification, and next-action flows through reliably. Integrations & Distribution — Own the accounting and ERP integration layer (QuickBooks, Xero, and beyond) that turns Argentl from a CSV upload into an embedded part of the finance stack — the primary distribution unlock. Unit Economics — Own the trade-offs between AI quality and cost-per-call, and lock in unit economics within a productized monthly pricing model. Customer & Market — Represent the company in front of finance leaders, partners, and investors as the technical voice of the venture. Roadmap — Convert pilots into paying customers, expand the AI staff beyond collections, and begin a path toward custom and self-hosted models where data-privacy and financial-compliance requirements demand it. Team — Recruit and lead the founding engineerin

Argentl is building an AI-powered collections agent that automates outbound debtor follow-up. This is a founder-level, remote CTO role based in the United States, joining as Co-Founder & CTO to lead product and engineering for the venture. You will own production code from day one, set the technical direction, and lead end-to-end delivery. Architecture & Reliability — Harden the voice and workflow systems for in-production reliability, establishing core architecture, observability, and audit-trail standards for a product that speaks to customers' debtors on their behalf. Delivery Layer — Build the internal infrastructure that lets the team configure, monitor, and optimize agent performance without scaling engineering headcount; mature the workflow engine so every call, intent classification, and next-action flows through reliably. Integrations & Distribution — Own the accounting and ERP integration layer (QuickBooks, Xero, and beyond) that turns Argentl from a CSV upload into an embedded part of the finance stack — the primary distribution unlock. Unit Economics — Own the trade-offs between AI quality and cost-per-call, and lock in unit economics within a productized monthly pricing model. Customer & Market — Represent the company in front of finance leaders, partners, and investors as the technical voice of the venture. Roadmap — Convert pilots into paying customers, expand the AI staff beyond collections, and begin a path toward custom and self-hosted models where data-privacy and financial-compliance requirements demand it. Team — Recruit and lead the founding engineerin