Industrial AI Product Manager - Smart Manufacturing

Weyerhaeuser

Seattle (WA)

On-site

USD 109,000 - 163,000

Full time

14 days+
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Benefits offered by this job

Annual bonus target
401k with match
Comprehensive benefits

Job summary

Weyerhaeuser in Seattle seeks a Product Manager, Industrial AI to lead AI-driven solutions across Wood Products manufacturing and Timberlands. You will own the 'what' and 'why' of AI initiatives, define use cases, and align projects with strategic goals.

The role emphasizes lifecycle management, IT/OT bridging, predictive maintenance, computer vision for quality, autonomous systems, strong ROI modeling, governance, and change leadership across cross-functional teams.

Qualifications

  • Experience leading AI/industrial projects in manufacturing or forestry sectors.
  • Strong business case development, ROI analysis, and governance.
  • Ability to bridge IT/OT environments and drive cross-functional collaboration.

Responsibilities

  • Refine and execute an AI strategy to optimize manufacturing and timberland operations.
  • Lead the AI lifecycle from ideation to implementation and measurement.
  • Bridge OT/IT environments to deliver reliable, secure AI solutions.
  • Implement predictive maintenance and IoT solutions to reduce downtime.
  • Drive computer vision for quality and yield using Azure Cognitive Services.
  • Champion autonomous and robotic solutions to improve safety and productivity.
  • Collaborate with leaders and data scientists to define targeted AI use cases.
  • Ensure governance, change leadership, and ROI tracking.

Skills

Industrial AI
IoT
Azure ML
TensorFlow
PyTorch
Robotics
Autonomous systems

Education

Bachelor's degree

Tools

Azure IoT Hub/Edge
Azure Cognitive Services
TensorFlow
PyTorch
Edge analytics

Job description

Weyerhaeuser in Seattle seeks a Product Manager, Industrial AI to lead AI-driven solutions across Wood Products manufacturing and Timberlands. You will own the 'what' and 'why' of AI initiatives, define use cases, and align projects with strategic goals.

The role emphasizes lifecycle management, IT/OT bridging, predictive maintenance, computer vision for quality, autonomous systems, strong ROI modeling, governance, and change leadership across cross-functional teams.

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