COMMAND DASHBOARD
Live signal — why now: Viz.ai is a scale-stage healthcare-AI company using AI to accelerate disease detection and care coordination across hospital networks, with a complex, high-stakes enterprise sales motion.
Executive pain hypothesis: Enterprise healthcare growth requires disciplined forecasting, clean systems, and cross-functional coordination across long, multi-stakeholder sales cycles.
Role mandate: Viz.ai is hiring for Revenue Operations & GTM Systems Leadership to own revenue systems, forecasting, and cross-functional operating cadence — the operational backbone connecting Sales, Marketing, and Customer Success.
Honest application risk: Healthcare enterprise SaaS domain familiarity and established RevOps tooling depth are likely screening factors to address directly.

Strong fit to Jay's workflow architecture, enterprise revenue systems, and process discipline in regulated, high-complexity environments. Position Jay as an operator who turns complex, regulated processes into auditable, repeatable operating systems with clear executive visibility. The strategic gap is unambiguous: Viz.ai needs an operator who builds the revenue operating system from first principles — not one who merely maintains an inherited one.

Days 1–90Q1 — FOUNDATION
Days 91–180Q2 — BUILD
Days 181–270Q3 — SCALE
Days 271–365Q4 — OPTIMIZE
Conservative

Unified pipeline visibility and a reliable forecasting cadence established; manual reporting and triage materially reduced across Viz.ai's revenue team.

Target

Automated routing, qualification, and follow-up lift speed-to-lead and conversion; forecast accuracy and cross-functional operating cadence reach maturity.

Stretch

Repeatable revenue infrastructure scales Viz.ai's go-to-market output without proportional headcount, with real-time executive visibility across the funnel.

Strategic Summary

Core Opportunity

Viz.ai is hiring for Revenue Operations & GTM Systems Leadership at a decisive moment. Enterprise healthcare growth requires disciplined forecasting, clean systems, and cross-functional coordination across long, multi-stakeholder sales cycles. Without dedicated ownership of the revenue operating system, that pressure compounds as the company grows.

Execution Thesis

Strong fit to Jay's workflow architecture, enterprise revenue systems, and process discipline in regulated, high-complexity environments. Position Jay as an operator who turns complex, regulated processes into auditable, repeatable operating systems with clear executive visibility. That is why this application is different — and why a conversation with Viz.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.