Bland AI
Revenue Operations & GTM Systems Leadership
Building the revenue operating system behind Bland 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.
Direct conceptual match to Jay's voice agents, call automation, intake, qualification, and front-office workflow architecture — the exact category Bland operates in. Position Jay as an operator who has already built production voice-agent and intake systems — he speaks the product natively and can architect the revenue engine around it. The strategic gap is unambiguous: Bland 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 Bland 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 Bland AI's go-to-market output without proportional headcount, with real-time executive visibility across the funnel.
Core Opportunity
Bland AI is hiring for Revenue Operations & GTM Systems Leadership at a decisive moment. Explosive demand for voice automation creates a need for reliable revenue systems, routing, qualification, and cross-functional visibility that can scale without proportional headcount. Without dedicated ownership of the revenue operating system, that pressure compounds as the company grows.
Execution Thesis
Direct conceptual match to Jay's voice agents, call automation, intake, qualification, and front-office workflow architecture — the exact category Bland operates in. Position Jay as an operator who has already built production voice-agent and intake systems — he speaks the product natively and can architect the revenue engine around it. That is why this application is different — and why a conversation with Bland 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.