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Technical Co-founder – CTO, AI Collections Agent
FutureSightTechnical co-founder owning product and engineering for Argentl’s AI voice collections agent. Building reliable finance automation, integrations, economics, and the founding engineering team.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and scaling LLM-powered voice systems and managing complex workflows while ensuring reliability and compliance. Proven ability to lead engineering teams, establish technical direction, and integrate financial systems effectively.
Highest-signal resume keywords
LLM-Powered Voice SystemsFull-Stack DevelopmentReliability EngineeringFinance and Accounting IntegrationTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Applied LLMsReal-Time Voice AIConversational AIObservabilitySecure Multi-Tenant SaaSWorkflow OptimizationAI Quality ManagementCost-Per-Call AnalysisTelephony SystemsService-Heavy Platform Development
Soft Skills
PragmaticCreativeCooperativeStrategicHands-On
Tools & Technologies
QuickBooksXero
Industry Keywords
FinOpsData PrivacyFinancial ComplianceEdge-Case Management
Tech Stack
Tools & technologiesERP
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 accounting and ERP integrations 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
- Expand the AI staff beyond collections
- Develop a path toward custom and self-hosted models for data privacy and financial compliance
- Recruit and lead the founding engineering team
- Establish the company’s cultural foundation
Requirements
What you’ll need- 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 AI quality versus cost-per-call trade-offs
- Experience building managed and service-heavy platforms while scaling delivery without scaling engineering headcount
- Prepared to operate as a principal and challenge product readiness when integrity requires it
- Hands-on builder who still writes code and ships
- Finance, accounting, or FinOps background preferred
- Based in Los Angeles or the San Francisco Bay Area, or ready to be, preferred
- Pragmatic, creative, cooperative, strategic, and hands-on
- Active social media presence for founder-led distribution preferred
- Submit a resume, LinkedIn profile, and brief note explaining why the venture aligns with your goals as a founder
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