Senior Product Manager, Tech, Amazon Manufacturing Services

About the role

Amazon Manufacturing Services (AMS) is seeking a Sr. Product Manager, Tech to own the product vision, strategy, and roadmap for the manufacturing execution and automation intelligence stack powering Amazon’s first advanced manufacturing facility — a highly automated, first-of-its-kind operation. This facility integrates industrial robotics, end-to-end manufacturing automation, and digital manufacturing to produce systems for Amazon’s global fulfillment network.

Responsibilities

Manufacturing Execution Product Strategy

• Own the 2–3 year product roadmap for the manufacturing execution stack — from scheduling UX through operator tools to AI-powered optimization
• Define the product vision that connects AI-native scheduling intelligence to the physical shop floor experience
• Develop and maintain the execution technology strategy across P0 (manual + semi-automated), P1 (AGV integration, real-time optimization), and P2 (AI-enabled autonomous control)
• Write compelling narratives (PR/FAQs, 6-pagers, OP docs) that articulate product strategy and secure investment from leadership

Scheduling & Operator Experience

• Serve as the operational product partner to the scheduling engineering team — translating manufacturing floor needs, pain points, and workflows into product requirements
• Own the operator-facing scheduling experience: how assignments surface, how disruptions are communicated, how overrides are captured, and how the system explains its decisions to the right audience
• Drive the scheduling system’s authority progression (Shadow → Advisory → Co-Pilot → Decision Maker) by defining success criteria, measuring override rates, and building supervisor trust through UX design
• Define product requirements for scheduling and explainability tools from the operator/supervisor perspective

Machine Connectivity & IIoT

• Own the product vision for machine connectivity — defining how equipment telemetry flows from factory floor to data lake to decision systems
• Define integration requirements for manufacturing equipment onboarded at the manufacturing facility (industrial lasers, robotic welding cells, automated coating lines, autonomous mobile robots)
• Develop product requirements for digital twin capabilities — real-time equipment state, simulation for what-if analysis, and predictive modeling
• Partner with automation engineers to define the machine-to-cloud data contract for each equipment class

AI/ML & Continuous Improvement

• Define and execute product strategy for AI-driven manufacturing intelligence: predictive maintenance, automated quality inspection, process parameter optimization, and autonomous cell control
• Own requirements for the data platform layer that enables ML — feature stores, event streams, model serving infrastructure
• Drive the feedback loop between quality outcomes (first-pass yield, scrap rates) and upstream process adjustments — ensuring the system learns and improves continuously
• Define the operator interaction model for AI recommendations — when to alert, when to auto-act, when to require human confirmation

Shop Floor Quality & Compliance

• Own the product experience for in-line quality: inspection workflows, non-conformance reporting, root cause analysis tools, and SPC dashboards
• Define how quality data flows back to both the scheduling system (for replan triggers) and the enterprise system (for financial variance reporting)
• Partner with Quality Engineering to translate ISO 9001:2015 requirements into tool capabilities and audit-ready data records

Qualifications

Basic

• Bachelor's degree or above in Computer Science, Engineering, or related fields
• 7+ years of product or program management, product marketing, business development or technology experience
• Experience defining roadmap strategy and prioritizing deliverables for your team products
• Experience contributing to engineering discussions around technology decisions and strategy related to a product
• Experience with analytical tools and ability to dive deep into metrics and reporting
• Experience with manufacturing execution systems (MES), shop floor scheduling, or production control software
• Experience managing technical products or online services in manufacturing or industrial environments

Preferred

• Experience in high-volume manufacturing operations or sourcing environments
• Experience in practical work applying ML to solve complex problems
• Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
• Experience in building and driving adoption of new tools
• Knowledge of cutting-edge production technologies and delivery workflows
• Master's degree in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or other related discipline
• Experience presenting complex ideas in writing in the form of authoring white papers, proposals, or other formal strategy documents
• Knowledge of IIoT protocols (OPC UA, MTConnect, MQTT) and industrial data integration
• Experience in high-volume, high-mix manufacturing environments (metals fabrication, welding, coating, assembly)
• Experience with ISO 9001 or similar manufacturing quality management systems
• Knowledge of Industry 4.0 principles, smart manufacturing architectures, or software-defined manufacturing

Pay

USA, WA, Bellevue — $151,200.00 – $204,600.00 USD annually