Director Of Product Management

About the job

You're a product executive who delivers. You can break down a defined product vision into minimal viable increments and ship enterprise-quality AI capabilities quickly without devolving into roadmap performance art. You've already survived the "AI fixes everything" wave, understand its failure modes, and excel at building regardless. If your strongest work emerges when you control outcomes from start to finish—deciding, prototyping, hardening, launching, and observing actual customer usage—continue reading. The majority of the software world treats AI like window dressing: layer a chatbot on existing infrastructure, declare a "copilot," label it innovation, and pray customers don't probe deeper. Our approach is the reverse. We're constructing AI-native capabilities that justify their existence by generating quantifiable enterprise value, and we execute at a velocity that makes conventional planning cycles appear masochistic. This role centers on rapid shipment of enterprise-quality, AI-native product capabilities to customers. It requires hands-on prototyping with current 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 fixed constraints. It is not "bolting on AI features" absent a clear value case. It is not a feature-request triage queue, a requirements-document assembly line, or a presentation-deck career track. It is not abstract vision declarations, model performance numbers divorced from user outcomes, or blind faith that AI functions flawlessly. What You Will Be Doing • Shipped Product Capabilities: Original or substantially improved product features released to production and available to enterprise customers. • AI-Driven Prototypes: Functional prototypes built using AI as the principal execution mechanism to confirm viability before production hardening. • Enterprise-Grade Production Deployments: Completely hardened, secure, dependable deployments that satisfy enterprise criteria for quality, usability, and security. What You Won’t Be Doing • Portfolio or roadmap-focused product leadership. • Dependence on customer discovery as the main source of direction. • Process-intensive or governance-centered product roles. • Using AI as an assistant instead of a core execution layer.

Requirements

• Product Management
• AI Prototyping
• Enterprise Software Standards

Qualifications

• 5+ years of product shipping experience
• Experience with AI tooling

Preferred Technologies

• Product Management
• AI Prototyping
• Enterprise Software Standards

About the company

Crossover is a global leader in remote work, bringing together top talent to build innovative solutions that help clients succeed in the digital age. They value performance-driven work culture and employ an extensive vetting process for hiring the best talent globally.