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Technical Co-founder, CTO – AI Collections Agent
FutureSightTechnical co-founder building Argentl’s AI collections agent for B2B finance teams. Owning production reliability, integrations, unit economics, product direction, and founding engineering.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing LLM-powered voice systems and managing full-stack development in production environments. Proven ability to lead engineering teams, establish technical direction, and ensure product reliability while balancing AI quality and cost.
Highest-signal resume keywords
LLM-Powered Voice SystemsFull-Stack DevelopmentReliability EngineeringAccounting IntegrationsTeam 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
LLM Application DevelopmentVoice Systems EngineeringConversational AITelephony IntegrationObservability StandardsSaaS DevelopmentWorkflow OptimizationAI Quality ManagementCost-Per-Call AnalysisEdge-Case Management
Soft Skills
Pragmatic Problem SolvingCreative ThinkingCooperative TeamworkStrategic PlanningHands-On Leadership
Tools & Technologies
QuickBooksXeroMulti-Tenant SaaSMonitoring ToolsInfrastructure Management
Industry Keywords
FinanceAccountingFinOpsProduct IntegrityVenture Alignment
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 classifications, 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 within monthly pricing
- Represent the company with finance leaders, partners, and investors as its technical voice
- Convert pilots into paying customers and expand AI staff 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 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
- Convictions about reliability engineering, edge-case management, and AI quality versus cost-per-call trade-offs
- Experience building managed and service-heavy platforms without scaling engineering headcount
- Prepared to operate as a principal and protect product integrity
- Hands-on builder who continues to write code and ship
- Finance, accounting, or FinOps background is a great-to-have
- Based in Los Angeles or the San Francisco Bay Area, or ready to be, is a great-to-have
- Pragmatic, creative, co-operative, strategic, and hands-on
- Active social media presence for founder-led distribution is a great-to-have
- Submit a resume, LinkedIn profile, and brief note explaining venture alignment
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