Staff Product Manager, Managed Intelligence (SF/Sunnyvale)

Crusoe is an AI infrastructure company focused on accelerating energy and intelligence. They are seeking a Staff Product Manager to lead the development of Managed Intelligence services, driving innovation and strategic roadmaps to enhance AI capabilities for customers.

Responsibilities:

• Define and lead the product strategy for Managed Intelligence, focusing on building next-generation AI and agentic capabilities at Crusoe
• Engage cross-functional teams—including Engineering, Research, and GTM—to land and execute strategic roadmaps that drive long-term platform value
• Drive initiatives to grow the business by attracting AI-native companies and developers to the platform through differentiated service offerings
• Champion a customer-centric product culture, ensuring that user feedback and developer needs directly inform the evolution of our AI services
• Establish the product requirements for a seamless model lifecycle, from data ingestion and fine-tuning to high-performance inference and agentic workflows
• Leverage a deep understanding of AI industry trends and product gaps to position Crusoe ahead of the competition in the 'Neocloud' space
• Act as the primary interface between technical model labs and commercial stakeholders to ensure technical breakthroughs translate into customer value

Requirements:

• 5+ years of dedicated experience in AI/ML product management, with a track record of launching and scaling complex technical services
• Deep familiarity with modern AI workflows and the end-to-end model lifecycle, including training, orchestration, and deployment
• A sophisticated understanding of the current AI industry landscape, emerging product gaps, and the evolving needs of AI-native developers
• Exceptional communication and collaboration skills, with the ability to influence senior stakeholders and align diverse technical teams
• A proactive, '0 → 1' approach to product development with the grit to scale services in a fast-paced, high-demand environment
• Direct experience working with or within a foundational model lab, providing a deep understanding of the research-to-production pipeline
• Familiarity with emerging techniques such as reinforcement learning (RLHF/PPO/DPO) and advanced agentic architectures
• Active participation in AI developer communities and a pulse on the open-source ecosystem
• Experience working at a cloud hyperscaler or specialized AI infrastructure provider