Sr Product Manager - Enterprise Systems & AI Automation , OMHS
Amazon - Bellevue, Washington, USA
Posted Apr 1, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $151K-$205K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $102,662 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +5.4% - Faster than average
73% above the BLS role benchmark for product management aggregate.
Matched to SOC 11-1021 - Product Management aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered Verified - SEC 10-K source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Sr Product Manager - Enterprise Systems & AI Automation , OMHS Bellevue, Washington, USA Amazon Manufacturing Services (AMS) is seeking an exceptional Sr. Product Manager to lead the development and implementation of enterprise systems and AI-based automation for our advanced manufacturing operations. This role will be instrumental in building scalable, intelligent manufacturing systems that integrate cutting-edge artificial intelligence, orchestration automation, and enterprise platforms to support high-volume production of light industrial machinery and material handling equipment. Enterprise Systems Leadership: * Lead the requirements definition and implementation of enterprise manufacturing systems including Enterprise Resource Planning (ERP), and Manufacturing Execution Systems (MES) * Drive the integration and onboarding of enterprise platforms across multiple manufacturing facilities, ensuring seamless data flow and operational visibility both within facilities and to our internal customers * Lead the development of intelligent orchestration systems that dynamically coordinate manufacturing workflows, resource allocation, machine programming, and production sequencing * Develop comprehensive system architectures that connect design, production planning, shop floor execution, quality management, and supply chain operations * Partner with cross-functional teams including engineering, operations, finance, and IT to ensure enterprise systems meet business requirements and scale with organizational growth AI-Based Automation & Orchestration: * Define and execute product strategy for AI-driven manufacturing automation, including agentic AI for process optimization, predictive maintenance, and production scheduling * Lead the development of intelligent orchestration systems that dynamically coordinate manufacturing workflows, resource allocation, and production sequencing * Implement model-based and physics-based AI solutions for simulation, real-time production decision-making, and process parameter optimization * Drive
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