Senior Product Manager

Fictiv•Oakland, CA

2d•$180,000 - $218,000

About The Position

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. 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 MISUMI Americas 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.

Requirements

5+ years of product management experience in B2B, SaaS, or technology-driven industries
Demonstrated experience developing AI-enabled products or working directly with AI research or data science teams to bring intelligent features to market
Strong analytical and strategic skills — able to balance visionary thinking with operational precision
Expertise in Agile product development, roadmap ownership, and cross-functional execution
Experience managing products that integrate multiple systems (ERP, MES, or supply chain networks)
Proven ability to influence and collaborate across distributed teams and time zones

Nice To Haves

Experience in manufacturing, supply chain, or complex logistics systems, particularly in quoting, routing, or fulfillment processes
Familiarity with machine learning, computer vision, LLMs, or data analytics frameworks relevant to industrial applications
Working knowledge of one or more manufacturing processes (3D printing, CNC machining, injection molding, sheet metal, etc.)
Background in productizing or operationalizing AI models for commercial use

Responsibilities

Define the long-term vision for MISUMI Americas 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 MISUMI Americas roadmap for AI-enabled quoting, intelligent fulfillment, and predictive supply orchestration
Collaborate closely with AI research and data engineering teams to translate complex models into usable, scalable product features
Define product 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 requirements)
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
Translate strategic initiatives into clear, actionable roadmaps with measurable outcomes
Establish frameworks to track input/output metrics, quantifying how new AI and automation features improve key business KPIs (margin, lead time, throughput, etc.)
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
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
Build strong relationships with operations, design, and go-to-market teams to ensure AI-driven innovations translate into real business outcomes
Communicate complex technical concepts simply, securing buy-in across executive, engineering, and commercial teams
Champion a culture of experimentation, where data, user feedback, and model performance insights continuously inform product evolution