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Principal Product Manager - AI & Intelligent Manufacturing Systems

Fictiv - Oakland, CA, United States - In-office - posted 2026-07-19

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MISUMI Americas, a division of MISUMI Group, is a leading provider of standard, configurable, and custom manufacturing solutions. The company integrates a vast catalog of components with a world-class digital manufacturing platform to empower engineers and procurement teams across product innovation and lifecycle management. As Principal Product Manager for AI & Intelligent Manufacturing Systems, you will serve as a strategic and technical thought leader driving the vision, roadmap, and execution of AI-powered capabilities across MISUMI Americas' Manufacturing Quoting and Fulfillment Platform. This is a highly visible, high-leverage role that shapes how AI and automation become foundational to the company's operating system for new product development. Key responsibilities include: **AI Technology Strategy & Product Vision**: Define long-term AI technology strategy for the digital manufacturing platform, including where and how to leverage LLMs, machine learning, computer vision, and reinforcement learning. Partner with AI research and engineering leadership to translate R&D advances into scalable, customer-facing capabilities. Identify and prioritize core AI product opportunities—from intelligent quoting and auto-classification of 3D models to predictive supplier matching and adaptive routing engines. Drive the architectural vision for the AI intelligence layer, ensuring alignment between data infrastructure, ML systems, and platform integration. Evangelize the role of AI within the organization. **Deep Technical Product Leadership**: Serve as product owner for AI infrastructure and model lifecycle management, including data acquisition, training, deployment, monitoring, and feedback loops. Partner with ML engineers and data scientists to design human-in-the-loop workflows that continuously improve system accuracy and explainability. Own the AI feature pipeline: define use cases, establish model performance metrics (precision, recall, latency, cost), and measure impact on business KPIs (quote accuracy, margin, lead time). You will report to the VP of Product Management. This role is ideal for a seasoned product leader with experience bringing AI-first enterprise platforms to life—someone equally comfortable discussing model architectures and data pipelines as business value and market differentiation.

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