Senior Product Manager, AI-Driven Manufacturing

Amazon

Bellevue (WA)

On-site

USD 151,000 - 205,000

Full time

10 days ago

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Benefits offered by this job

Health insurance

RSUs

Sign-on payments

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Bellevue, WA seeks 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.

This role combines robotics, automation, and digital manufacturing to support Amazon’s global fulfillment network. You will lead cross-functional efforts across scheduling UX, operator tools, AI-driven optimization, and data platforms, partnering with

Qualifications

Bachelor's degree 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 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.

Responsibilities

Own the 2–3 year product roadmap for the manufacturing execution stack—from scheduling UX to operator tools to AI-powered optimization.
Define the product vision connecting AI-native scheduling intelligence to the physical shop floor experience.
Develop and maintain the execution technology strategy across P0 to P2 tiers.
Write narratives (PR/FAQs, 6-pagers, OP docs) to articulate strategy and secure leadership investment.
Collaborate with scheduling engineering to translate floor needs into product requirements.
Own operator-facing scheduling experience and how disruptions are communicated.
Drive the scheduling system’s authority progression with defined success criteria.
Define requirements for scheduling and explainability tools from operator perspective.
Own the product vision for machine connectivity and telemetry flow to data lake.