Principal Product Manager - AI & Intelligent Manufacturing Systems

About this role

About MISUMI Americas

MISUMI Americas, a division of MISUMI Group, is a leading provider of standard, configurable, and custom manufacturing solutions. By integrating a vast catalog of components with a world-class digital manufacturing platform, MISUMI Americas empowers engineers and procurement teams to accelerate innovation across the entire product lifecycle. With operations in the San Francisco Bay Area and Chicago, the company serves as a vital partner for the most innovative companies in the Americas.

Impact In This Role

As our Principal Product Manager - AI & Intelligent Manufacturing Systems, you’ll serve as a strategic and technical thought leader driving the vision, roadmap, and execution of AI-powered capabilities across Fictiv’s Manufacturing Quoting and Fulfillment Platform. This is a highly visible, high-leverage role — one that shapes how AI and automation become foundational to Fictiv’s operating system for new product development (NPD). You’ll partner directly with our AI R&D, data science, and platform architecture teams to define the core intelligence layer that powers quoting, supply orchestration, and manufacturing decision-making at scale.

You will own and evolve the product strategy that fuses advanced AI models, data-driven automation, and manufacturing domain intelligence into a cohesive system that sets new standards for operational efficiency, precision, and speed.

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 they are business value and market differentiation.

You will report to the VP, Product Management.

Areas of Responsibility:

1. AI Technology Strategy & Product Vision

• Define the long-term AI technology strategy for Fictiv’s 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 Fictiv’s AI intelligence layer, ensuring alignment between data infrastructure, ML systems, and platform integration

• Evangelize the role of AI within the organization — educating teams on capabilities, limitations, and ethical deployment of intelligent systems

2. Deep Technical Product Leadership

• Serve as the 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)

• Collaborate with platform engineering to ensure scalability, modularity, and compliance in AI integrations

• Drive responsible AI practices, including fairness, transparency, and auditability in model-driven decision systems

3. Solutions Integration & Application Development

• Lead the development of AI-driven application modules — such as automated quoting, manufacturability assessment, supplier recommendation, and production forecasting

• Work with product teams across quoting, fulfillment, and partner management to identify where intelligence adds differentiated value

• Ensure AI and automation capabilities are embedded seamlessly into Fictiv’s core user experiences and operational workflows

• Act as a bridge between AI technology development and solution commercialization, ensuring innovations move efficiently from lab to production

4. Metrics, Experimentation, and Validation

• Define the performance framework for all AI-enabled systems, including model metrics (accuracy, throughput, latency), business KPIs (margin improvement, cycle time reduction), and adoption metrics

• Lead data-informed experimentation programs to validate new model capabilities and measure real-world impact before scaling

• Champion continuous learning loops between R&D, product, and operations teams

5. Cross-Functional & Executive Influence

• Partner with senior leadership across Product, Engineering, Data, and Operations to align AI investments with strategic business outcomes

• Influence architecture, resource allocation, and data strategy decisions that affect Fictiv’s AI roadmap

• Mentor and guide other product managers in the organization on AI-first thinking and technical product management best practices

• Represent Fictiv externally — at conferences, customer forums, and AI ecosystem events — as a thought leader in intelligent manufacturing systems

Experience/Qualifications:

Required

• 10+ years of product management experience, including 4+ years leading AI or ML-driven products from research to production

• Startup experience with demonstrated 0-to-MVP-to-1 product ownership; ideally at a company that achieved a successful exit (acquisition or IPO)

• Proven track record building AI-first SaaS or enterprise systems, ideally in manufacturing, supply chain, logistics, or industrial automation

• Deep understanding of AI technologies, including LLMs, supervised/unsupervised ML, computer vision, or predictive analytics pipelines

• Demonstrated success collaborating with AI research teams and data engineering to operationalize models into scalable, production-grade systems

• Fluency in data infrastructure concepts (feature stores, inference APIs, model retraining, observability)

• Strong technical intuition and ability to engage deeply with engineers and data scientists on architecture, experimentation, a

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