Technical Co-founder – CTO, AI Collections Agent

FutureSight

Technical co-founder building Argentl’s AI voice collections agent for B2B finance teams. Owning production reliability, ERP integrations, unit economics, roadmap, and founding engineering team.

Posted 8/4/2026full-timeRemote • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack development of LLM-powered and voice systems, with a focus on reliability engineering and AI quality management. Capable of leading engineering teams, establishing technical direction, and integrating finance systems like QuickBooks and Xero.

Highest-signal resume keywords

Full-Stack ExpertiseLLM-Powered SystemsVoice and Conversational AIReliability EngineeringFinance and Accounting Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM-Powered SystemsVoice SystemsReal-Time Conversational AIObservabilitySecure Multi-Tenant SaaSAI Quality ManagementEdge-Case ManagementAccounting IntegrationQuickBooksXero

Soft Skills

Pragmatic Problem SolvingCreative IterationCooperative Working StyleStrategic ThinkingHands-On Leadership

Industry Keywords

Finance OperationsFinOpsTelephonyHuman-in-the-Loop WorkflowsManaged PlatformsService-Heavy Platforms

Tech Stack

Tools & technologies

ERP

About the role

Key responsibilities & impact

Take over the production code and continue building the product
Set the technical direction and lead execution end-to-end
Harden voice and workflow systems for in-production reliability
Establish core architecture, observability, and audit-trail standards
Build internal infrastructure to configure, monitor, and optimize agent performance
Mature the workflow engine so calls, intent classification, and next actions flow reliably
Own the accounting and ERP integration layer, including QuickBooks and Xero
Balance AI quality and cost-per-call and establish unit economics
Represent the company to finance leaders, partners, and investors as its technical voice
Convert pilots into paying customers and expand AI finance-operations roles beyond collections
Develop a path toward custom and self-hosted models where privacy and compliance require it
Recruit and lead the founding engineering team and establish company culture

Requirements

What you’ll need

Shipped LLM-powered and voice systems into production where incorrect outputs carried real consequences
Full-stack expertise across applied LLMs, real-time voice and conversational AI, telephony, human-in-the-loop workflows, observability, and secure multi-tenant SaaS
Strong convictions about reliability engineering, edge-case management, and AI quality versus cost-per-call trade-offs
Experience building managed and service-heavy platforms while scaling delivery without scaling engineering headcount
Willingness to operate as a principal and reject work that is not scalable or ready when product integrity requires it
Hands-on builder who continues to write code and ship close to the product
Finance, accounting, or FinOps background is a plus
Based in Los Angeles or the San Francisco Bay Area, or ready to relocate there, is a plus
Pragmatic and creative approach to finding solutions and iterating quickly
Cooperative, strategic, and hands-on working style
Active social media presence for founder-led distribution is a plus
Resume, LinkedIn profile, and brief founder-alignment note required to apply

Benefits

Comp & perks

Founder-level equity
Founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy
Genuine partnership with the CEO on every material decision
Opportunity to own product and engineering as a technical co-founder