About The Position

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.

Requirements

  • 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, and trade-offs.
  • Analytical rigor and comfort with experimentation frameworks, A/B testing, and quantitative product measurement
  • Exceptional communication and influence skills — able to connect technical complexity to business impact and inspire alignment across functions

Nice To Haves

  • 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

Responsibilities

  • 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
  • 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
  • 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
  • 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
  • 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

Benefits

  • Competitive medical, dental, and vision insurance
  • 401K plan
  • Monthly Virtual Work stipend for things like food, internet, travel, pet care, health and wellness
  • Annual Education stipend
  • Parental leave programs
  • Paid volunteer days
  • Onboarding setup, including: standing desk, laptop, monitor, and chair, and a stipend for additional items such as headphones, blue light glasses, or any other ergonomic supplies you may want or need
  • And much, much more!
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