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 a Senior Product Manager, you’ll play a defining role in building the next-generation Operating System for New Product Development (NPD) — one that leverages artificial intelligence, automation, and deep manufacturing intelligence to revolutionize how products are designed, sourced, and delivered globally. You will own and evolve Fictiv’s Manufacturing Quoting Fulfillment platform, the intelligent backbone that powers how our customers, operations teams, and global manufacturing partners collaborate. Your work will extend beyond traditional product management — you’ll define, prioritize, and launch innovative technologies that dramatically increase accuracy, speed, and efficiency across quoting, fulfillment, and supplier orchestration.

You’ll partner with our advanced technology R D team to turn cutting-edge research into production-ready solutions, bringing automation, predictive analytics, and generative intelligence into every step of the manufacturing lifecycle. What You’ll Be Doing: 1. Product Strategy Vision Define the long-term vision for Fictiv’s manufacturing intelligence platform, emphasizing how AI and automation deliver measurable value for customers and partners Identify strategic opportunities to integrate machine learning models, natural language understanding, and computer vision into quoting, routing, and supplier selection workflows Build business cases for AI investments, articulating ROI through improved quote accuracy, reduced turnaround time, and increased partner throughput Partner with data science and R D leaders to shape Fictiv’s roadmap for AI-enabled quoting, intelligent fulfillment, and predictive supply orchestration 2.

Requirements

for systems that leverage large language models (LLMs), predictive algorithms, and generative tools to extract, classify, and structure manufacturing data (from drawings, CAD files, and natural language

) Create feedback loops between AI systems and operational users to continuously improve model performance and reliability Lead experiments and pilot programs that validate new AI capabilities before wide-scale deployment 3. ) Prioritize trade-offs between innovation speed and reliability, ensuring that AI-based systems meet the performance standards expected of mission-critical manufacturing infrastructure Partner with distributed engineering teams in the US, India, to ensure consistent execution and iteration velocity 4. Customer, Partner, and Operations Insight Deeply understand the workflows, motivations, and friction points of engineers, procurement teams, and manufacturing partners Use a data-driven and empathic approach to discover high-impact opportunities for AI intervention — from automated feature recognition to supplier recommendation models Drive programs that integrate human feedback into AI systems, ensuring transparency, explainability, and trust 5.