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Principal Product Manager (AI & Intelligent Manufacturing Systems)

Fictiv · Oakland, United States

External listingfull-time13 days ago

About The Role

Join MISUMI Americas as a Principal Product Manager for AI & Intelligent Manufacturing Systems. In this strategic and technical leadership role, you will drive the vision, roadmap, and execution of AI-powered capabilities across our manufacturing quoting and fulfillment platform. You will partner with 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. This is a highly visible role that shapes how AI and automation become foundational to our operating system for new product development.

  • Definir la estrategia a largo plazo de la tecnología de IA para la plataforma de fabricación digital de MISUMI Americas, incluyendo la identificación y priorización de oportunidades de productos de IA.
  • Colaborar con equipos de investigación y desarrollo de IA, ciencia de datos y arquitectura de plataformas para traducir los avances de I+D en capacidades escalables y orientadas al cliente.
  • Actuar como propietario del producto para la infraestructura de IA y la gestión del ciclo de vida del modelo, incluyendo la adquisición de datos, el entrenamiento, el despliegue, la monitorización y los bucles de retroalimentación.
  • 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
  • Proven track record building AI-first SaaS or enterprise systems, ideally in manufacturing, supply chain, logistics, or industrial automation
  • Exceptional communication and influence skills — able to connect technical complexity to business impact and inspire alignment across functions
  • Deep understanding of AI technologies, including LLMs, supervised/unsupervised ML, computer vision, or predictive analytics pipelines
  • Analytical rigor and comfort with experimentation frameworks, A/B testing, and quantitative product measurement
  • Fluency in data infrastructure concepts (feature stores, inference APIs, model retraining, observability)
  • Startup experience with demonstrated 0-to-MVP-to-1 product ownership; ideally at a company that achieved a successful exit (acquisition or IPO)
  • Demonstrated success collaborating with AI research teams and data engineering to operationalize models into scalable, production-grade systems
  • Strong technical intuition and ability to engage deeply with engineers and data scientists on architecture, experimentation, and trade-offs
  • 10+ years of product management experience, including 4+ years leading AI or ML-driven products from research to production
  • Domain experience in manufacturing, supply chain, or CAD/CAM ecosystems
  • Experience designing or managing systems with human-in-the-loop AI, active learning, or automated decision-support models
  • Working knowledge of product data ontologies, graph databases, or knowledge modeling for industrial applications
  • Track record of thought leadership or published work on AI strategy, ML productization, or applied AI ethics
  • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
  • While performing the duties of this job, the employee routinely is required to sit; walk; talk and hear; use hands to keyboard, fingers, handle, and feel; stoop, kneel, crouch, twist, crawl, reach, and stretch
  • Excel at being part of a strong, empathetic team
  • Help us continue to build a world-class organization that values the contributions of all of our teammates
  • Thrive in an environment emphasizing respect, honesty, collaboration, and growth
  • Bring diverse perspectives and experience to our culture and company
  • Have an ‘always learning’ mindset that celebrates learning, not just wins

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