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FutureSight

Technical Co-founder, CTO – AI Collections Agent

FutureSight

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

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

Core Competencies

Role fit
Core 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

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Applicant 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 & 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 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