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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Co-founder (CTO) - AI Collections Agent - **Company:** FutureSight Inc. - **Location:** New York, NY, United States - **Salary:** $35,360.0 - $39,520.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Software as a Service, QuickBooks (Software), Reliability Engineering, Systems Integration, Chatbots, SAP Integration Solutions, Large Language Models, Production Code, Xero (Accounting Software) - **Published:** August 7, 2026 - **Apply:** https://www.careerjet.com/jobad/us81e1f195299093a7c0778ca96e2e4fef ## About the Role * Shipped LLM-powered and voice systems into production environments where incorrect outputs carried real consequences * Full-stack confidence across applied LLMs, real-time voice and conversational AI, telephony, human-in-the-loop workflows, observability, and secure multi-tenant SaaS * Well-formed convictions about reliability engineering, edge-case management, and the trade-offs between AI quality and cost-per-call * Experience building managed and service-heavy platforms, with the discipline to scale delivery without scaling engineering headcount * Prepared to operate as a principal - including saying "this won't scale" or "this isn't ready" when the integrity of the product requires it * A hands-on builder - you still write code and ship, and you're happiest close to the product Great to Have: * Finance, accounting, or FinOps background - you understand AR, DSO, aging, disputes, and how finance teams actually work * Based in Los Angeles or the San Francisco Bay Area (or ready to be) * Pragmatic and creative - a solution finder who gets to "working" fast and iterates from there * Co-operative, strategic, and hands-on in equal measure * Capable and willing to help in finding and closing early customer partnerships * An active social media presence you can put to work for founder-led distribution ## Description Problem and solution validation are complete. Live pilots are running with early design partners and entering production evaluation. The next phase is proving in-production reliability, delivery economics, and scalability. The teams that ship credible AI workers into finance-sensitive functions in the next 18 months will define the category. We intend to be one of them. The Venture Argentl delivers an AI collections agent that handles outbound debtor follow-up automatically - trained, monitored, and continuously improved by our team. Rather than another self-serve SaaS tool, Argentl is evaluated on outcomes: DSO reduction, hours returned to the AR team, and cash commitments captured - not configuration effort. Give us a list of overdue accounts and our voice agent calls each debtor, confirms invoice awareness, and captures exactly what they say - a payment commitment, a dispute, a request to split, or silence. The AR team gets a clean morning report: who's committed, who's disputing, who's gone silent, and what to do next. No ERP migration, no system credentials, no workflow overhaul - we're calling within a week of receiving the data. The roadmap expands from collections follow-up into adjacent AI finance-ops roles, all delivered through the same managed model. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and live pilots are running. What remains is to bring on the technical co-founder - a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, and a genuine partnership with the CEO on every material decision. What you'll own As Co-Founder & CTO, you will take over the production code and continue building the product (the first lines of production code), set the technical direction, and lead execution end-to-end. * Architecture & Reliability - Harden the voice and workflow systems for in-production reliability. Establish 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 engineering team, and establish the cultural foundation of the company ## Related Videos - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Designing the Future of Human<>Agent Collaboration](https://www.wearedevelopers.com/videos/1447-designing-the-future-of-human-agent-collaboration) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Building the Next Generation of Software](https://www.wearedevelopers.com/videos/100186-building-the-next-generation-of-software) - [The End of Software as we know it](https://www.wearedevelopers.com/videos/1393-the-end-of-software-as-we-know-it) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)