Drimva

Amazon

Program Manager, Automation Solutions — NA (L4), Sustaining Technology Engineering (STE), GES Sustainability & Automation

$80K–$97K

Bellevue, WA · Manager · Full-time · Posted Oct 22, 2026

Experience
2+ years program/project management; 3+ years each in CMMS program work, maintenance planning/scheduling, and advanced Microsoft Word and Excel.
Education
Bachelor's degree in relevant field, or 2+ years of Amazon RME (BB/3P) full-time experience.

About the job

Drives North American computer-vision automation use cases from feasibility assessment and pilot through deployment, monitoring, and sustained operation.

What you'll do

  • Evaluate use cases and business cases; run pilots by coordinating partners, defining KPIs, tracking milestones, and reporting outcomes.
  • Analyze model performance, sensor and operational data, and data pipelines; build KPI dashboards and recommend improvements.
  • Support deployment and sustainment, including edge-inference constraints, model monitoring, safety and regulatory coordination, and handoff documentation.

What they ask for

  • 2+ years of program or project management experience.
  • 3+ years of Computerized Maintenance Management System program experience.
  • 3+ years of maintenance planner/scheduler experience in industrial maintenance, manufacturing, or distribution industries.
  • 3+ years of advanced Microsoft Word and Excel experience; bachelor's degree in a relevant field or 2+ years of Amazon RME (BB/3P) full-time experience; flexible schedule including weekends, nights, and/or holidays.

Nice to have

  • Knowledge of Lean principles and DMAIC methodology.
  • Experience with MS Access and SQL, Microsoft Projects, requirements documentation, material handling systems, or analytical cross-functional teams.

Pay

80,200.00 - 97,400.00 USD annually (base salary)

Tools

Microsoft Word, Excel, MS Access, SQL, Microsoft Projects

AI focus

Works with computer vision and ML systems, including perception metrics, model training and evaluation, data and annotation pipelines, edge inference, deployment, drift monitoring, retraining triggers, and A/B testing.

Model-written summary · the original posting is authoritative

First seen Oct 23, 2026 · Last verified Nov 5, 2026 (UTC)