Retell AI
Founders Initiatives, AI Agents
Building the revenue operating system behind Retell AI's next phase of growth — unifying forecasting, pipeline visibility, routing, and front-office automation including production voice and conversational-AI systems, so leadership can scale go-to-market output without scaling manual work.
Exceptional conceptual match to Jay’s voice agents, intake, outbound automation, qualification, compliance workflows, and founder-level AI operations. The application package itself demonstrates the exact agentic workflow thinking Retell is hiring for. The strategic gap is unambiguous: Retell AI needs an operator who builds the revenue operating system from first principles — not one who merely maintains an inherited one.
Unified pipeline visibility and a reliable forecasting cadence established; manual reporting and triage materially reduced across Retell AI's revenue team.
Automated routing, qualification, and follow-up lift speed-to-lead and conversion; forecast accuracy and cross-functional operating cadence reach maturity.
Repeatable revenue infrastructure scales Retell AI's go-to-market output without proportional headcount, with real-time executive visibility across the funnel.
Core Opportunity
Retell AI is hiring for Founders Initiatives, AI Agents at a decisive moment. Retell’s growth creates a need for production-grade agents that improve hiring, sales, operations, and compliance without creating manual overhead. Without dedicated ownership of the revenue operating system, that pressure compounds as the company grows.
Execution Thesis
Exceptional conceptual match to Jay’s voice agents, intake, outbound automation, qualification, compliance workflows, and founder-level AI operations. The application package itself demonstrates the exact agentic workflow thinking Retell is hiring for. That is why this application is different — and why a conversation with Retell AI is warranted now: Jay builds the operating system from first principles. Production systems, not theory.
Production systems, not theory. Revenue captured, not demos given.