Vice President Product Management

$400,000 USD/year ^{Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks}  ($200 USD/hour)

You're a product executive who delivers. You take a defined product vision, decompose it into the smallest units of value, and ship enterprise-ready AI capabilities at velocity—without letting the work devolve into roadmap performance art. You've already weathered the "AI fixes everything" wave, understand its failure modes, and know how to build regardless. If your strongest contributions emerge when you control the full outcome—from decision through prototype, hardening, launch, and real-world customer adoption—then this role warrants your attention.

Much of the software world treats AI like a wardrobe swap: add a chatbot veneer, brand it a "copilot," declare it innovative, and cross your fingers that buyers won't probe deeply. Our approach is fundamentally different. We construct AI-native capabilities that justify their existence by delivering quantifiable enterprise impact, executing at a tempo that exposes traditional planning rituals as counterproductive. Our competitive advantage lies in collapsing Sell → Design → Build cycles, enforcing ruthless scope discipline within a fixed strategic direction, and achieving production deployments that satisfy enterprise requirements without prolonged coordination drag.

The essence of this position is fast-cycle delivery of enterprise-grade, AI-native product functionality to customers. It involves personally building prototypes with contemporary AI tooling to confirm viability before engineering produces the production-hardened version. It means owning the entire delivery arc—from vision refinement through production release—making definitive tradeoffs, and shipping within a defined timeframe. It is not about "bolting on AI features" absent a concrete value case. It is not a feature-request triage desk, a requirements document mill, or a presentation-driven career. It is not abstract vision rhetoric, model performance statistics divorced from user outcomes, or wishful thinking that presumes AI functions flawlessly.

You'll work in close proximity to engineering, functioning as a player-coach: part hands-on builder, part decision authority, zero parts process coordinator. You'll convert an established vision into actionable scope, prototype rapidly to eliminate uncertainty, and shepherd releases that customers can realistically deploy in genuine enterprise settings. If you've launched entirely new enterprise software, leveraged AI as an execution substrate, and remain composed when industry hype meets production realities, you'll gain the freedom to operate quickly and the obligation to ensure durability. If that proposition feels liberating rather than daunting, we encourage you to apply.