Principal Product Manager

$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 continues to deliver working software. You know how to break down a defined product vision into the smallest units of customer value, then rapidly push enterprise-quality AI functionality into production—without transforming the effort into planning spectacle. You've already experienced the "AI fixes everything" era, understand where it falters, and know how to build effectively despite that. If your strongest performance emerges when you control outcomes from start to finish (meaning: deciding, prototyping, hardening, releasing, and observing actual customer usage), then this is worth your attention.

The majority of the software world treats AI as superficial decoration: add a chatbot layer, launch a "copilot," label it transformative, and hope purchasers don't probe deeply. Our approach is the reverse. We construct AI-native functionality that justifies its existence through measurable enterprise impact, and we execute at a pace that exposes traditional planning processes as counterproductive. What differentiates us is compressing Sell → Design → Build cycles, uncompromising scope discipline within a defined direction, and production releases that satisfy enterprise requirements without extended coordination drag.

The essence of this position is fast deployment of enterprise-standard, AI-native product functionality to customers. It involves personally building prototypes using contemporary AI tools to confirm viability before engineering finalizes the implementation. It means controlling delivery from vision refinement through production launch, making clear tradeoffs, and shipping within a fixed timeframe. It does not mean "inserting AI features" absent a well-defined value argument. It is not a feature-request processing queue, a requirements-document factory, or a presentation-oriented career. It is not abstract vision declarations, model performance numbers disconnected from user experience, or assumptions that AI performs flawlessly.

You'll work alongside engineering and function as a player-coach: partly hands-on builder, partly decision authority, not at all a coordinator. You'll convert an existing vision into actionable scope, prototype rapidly to eliminate uncertainty, and push releases that customers can realistically deploy in actual enterprise settings. If you've delivered entirely new enterprise software, applied AI as an execution mechanism, and remain composed when enthusiasm meets production realities, you'll receive the autonomy to act quickly and the accountability to ensure durability. If that feels like opportunity rather than burden, please apply.