AmazonProgram Manager, Automation Solutions — NA (L4), Sustaining Technology Engineering (STE), GES Sustainability & Automation
Amazon is hiring a Program Manager, Automation Solutions — NA (L4), Sustaining Technology Engineering (STE), GES Sustainability & Automation in Bellevue, United States. It pays $80k-$97k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Computer vision, ML Pipelines and program management among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 21,000+ other open roles on Level.
- Posted within the past week.
AI in this role
Drive computer-vision automation use cases and manage ML pipeline lifecycles across North American facilities.
Key job responsibilities
Identify and evaluate new computer vision automation use cases for North America (e.g., drones, robotics, autonomous vehicles, inspection systems); develop feasibility assessments and business cases for each opportunity.
• Execute pilots end-to-end: define success metrics, coordinate cross-functional partners across science, engineering, RME, operations, and vendors, track milestones, and report outcomes with clear recommendations.
• Conduct deep-dive analysis on model and detection performance (e.g., precision, recall, F1 score, detection accuracy); analyze flight telemetry, reliability logs, and operational data to identify trends and improvement opportunities.
• Assess data and annotation pipeline quality feeding perception models; partner with science teams to evaluate labeling accuracy, dataset coverage, and annotation throughput.
• Evaluate edge inference constraints including latency, on-device compute capacity, and connectivity limitations; factor deployment realities into use-case scoping and architecture decisions.
• Support post-deployment model monitoring activities including tracking model drift indicators, retraining triggers, and A/B testing frameworks to ensure sustained system performance.
• Build KPI dashboards and visualizations; translate telemetry and analytics into actionable insights for technical and non-technical stakeholders.
• Coordinate with regulatory and safety stakeholders to ensure automation deployments comply with applicable standards (e.g., FAA regulations for UAV systems, robotics safety standards).
• Translate between technical teams and operational stakeholders; document standards, RACIs, and handoff procedures so use cases remain sustainable post-launch.
• Track risks, dependencies, and timelines across concurrent workstreams in a decentralized network environment.
A day in the life
• You Dive Deep into perception data and system telemetry to surface insights that others miss — then translate those insights into clear, actionable recommendations.
• You demonstrate Bias for Action by driving pilots forward through ambiguity, coordinating across teams without waiting for perfect information.
• You Earn Trust with cross-functional partners by communicating transparently, documenting decisions clearly, and delivering on commitments.
• You Insist on the Highest Standards for data quality, pilot rigor, and documentation — raising the bar for how automation use cases are evaluated and sustained.
LOCATION AND TRAVEL
About the team
Sustaining Technology Engineering (STE), within GES Sustainability & Automation, keeps Amazon’s deployed automation and robotics technologies reliable, standardized, and continuously improving across the network. Our portfolio spans drones, mobile robots, autonomous vehicles, and camera/sensor-based inspection systems — all powered by computer vision and machine learning. We partner with science, engineering, Reliability and Maintenance Engineering (RME), site operations, and vendor teams to take automation use cases from concept through sustained, scaled operation.
Basic qualifications
- 2+ years of program or project management experience
- 3+ years of Computerized Maintenance Management System program experience
- 3+ years of maintenance planner/scheduler in industrial maintenance, manufacturing, or distribution industries experience
- 3+ years of advanced Microsoft Word and Excel experience
- Bachelor's degree in relevant field, or 2+ years of Amazon RME (BB/3P) full time experience
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
Preferred qualifications
- Knowledge of Lean principles and DMAIC methodology
- Experience in MS Access and SQL
- Experience in requirement gathering and ability to write clear and detailed requirement document
- Experience using Microsoft Projects software
- Experience with material handling systems (MHS) installation, operation and maintenance
- Experience working in an analytical environment with cross-functional teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 80,200.00 - 97,400.00 USD annually
How we rate this
Program Manager, Automation Solutions — NA (L4), Sustaining Technology Engineering (STE), GES Sustainability & Automation at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where metrics evaluation was part of your work. What did you do?
- Tell me about a project where robotics was part of your work. What did you do?
- Walk me through how you've used ML Pipelines in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Computer vision, Program Management, Metrics Evaluation, Robotics, and ML Pipelines. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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