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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
  • Fertility benefits: Offered From the posting source checked Jun 20, 2026
  • Adoption assistance: Offered From the posting source checked Jun 20, 2026
  • Surrogacy assistance: Not verified
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)

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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

Role function
Product From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

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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