Head of 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 still delivers. You can break down a defined product vision into the smallest units of value and ship enterprise-ready AI capabilities quickly without devolving into roadmap performance art. You've already navigated the "AI solves all problems" wave, understand where it fails, and know how to build effectively regardless. If your strongest work emerges when you control the full outcome—from deciding to prototyping to hardening to launching to observing real customer usage—then continue reading.

Most software companies approach AI like a wardrobe update: add a chatbot layer, declare a "copilot," label it innovation, and hope buyers don't probe deeply. Our approach is fundamentally different. We're constructing AI-native capabilities that justify their existence by delivering quantifiable enterprise value, and we're executing at a pace that makes conventional planning cycles appear self-destructive. Our advantage lies in compressing Sell → Design → Build cycles, ruthless scope discipline within a set direction, and production releases that satisfy enterprise requirements without months of coordination burden.

The essence of this role is rapid deployment of enterprise-grade, AI-native product capabilities to customer environments. It involves personally prototyping with contemporary AI tooling to confirm feasibility before engineering solidifies the implementation. It means owning delivery from vision refinement through production release, making definitive tradeoffs, and shipping within a fixed timeframe. It is not "inserting AI features" without a compelling value case. It isn't a feature-request intake system, a PRD assembly line, or a presentation-deck career path. It isn't abstract vision declarations, model metrics disconnected from user reality, or optimism predicated on flawless AI performance.

You'll work closely with engineering and function as a player-coach: partly builder, partly decision-maker, entirely not a coordinator. You'll convert an established vision into actionable scope, prototype rapidly to eliminate uncertainty, and drive releases that customers can genuinely deploy in authentic enterprise contexts. If you've shipped original enterprise software, leveraged AI as an execution layer, and remain composed when hype meets production realities, you'll gain the autonomy to move quickly and the accountability to ensure it holds together. If that feels like relief rather than burden, please submit your application.