Drimva

Amazon

Product Manager-Technical, Manufacturing Enterprise Systems, Amazon Robotics

$129K–$175K

North Reading, MA +1 · Manager · Full-time · Posted Jun 8, 2026

Location
North Reading, MA
Westboro, MA
Experience
5+ years; no alternatives stated.
Education
Bachelor’s degree in Operations, Supply Chain Management, Engineering, or another technical field.

About the job

Leads product strategy and lifecycle management for manufacturing enterprise systems, including roadmaps, architecture, process automation, and adoption.

What you'll do

  • Own the product vision and multi-year roadmap for manufacturing systems, and guide architectural decisions across ERP, MES, PLM, and CAD.
  • Translate business needs into technical requirements; partner with engineering and architecture teams on system capabilities and integrations.
  • Improve manufacturing processes through automation, stakeholder engagement, adoption strategies, and performance monitoring.

What they ask for

  • 5+ years of customer-facing product development and product management, including defining, launching, and optimizing products and services.
  • Experience defining roadmap strategy and prioritizing deliverables.
  • Experience creating process improvements with automation and analysis, or communicating results to senior leadership.
  • Bachelor’s degree in Operations, Supply Chain Management, Engineering, or another technical field; demonstrated knowledge of manufacturing and supply chain system concepts.

Nice to have

  • Knowledge of agile product development and life-cycle management; experience leading cross-functional teams to deliver products and online services on tight deadlines.
  • Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations, and analytical platforms; experience in SQL Server/MySQL.

Pay

USD 129,200.00 - 174,800.00 annually (base salary); USD 129,200.00 - 174,800.00 annually (base salary)

Tools

SAP S/4HANA, Siemens Teamcenter, ERP, MES, PLM, CAD, SQL Server, MySQL

AI focus

Transform enterprise applications to next-generation systems incorporating AI capabilities; evaluate emerging technologies for potential application.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)