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# Technical Program Manager-II, GO-AI

- **Company:** Amazon.com, Inc.
- **Location:** Boston, MA, United States
- **Experience:** Experienced
- **Salary:** $127,100 - $172,000
- **Contract:** Temporary contract
- **Skills:** Information Technology, Automation Anywhere
- **Published:** November 3, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28155130/Technical-Program-Manager-Ii-Go-Ai-Massachusetts-Boston-7375

## About the Role

4+ years of technical product or program management experience

 - 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
 - Experience managing programs across cross functional teams, building processes and coordinating release schedules
 - Bachelor's degree in engineering, computer science or equivalent
 - Excellent verbal and written communication skills.

Preferred Qualifications

 - 3+ years of working directly with engineering teams experience
 - Familiarity with robotics, fulfilment operations or large-scale annotation/labelling workflows.

## Description

* Partner with other Amazon teams to understand AI automation-based use cases, evaluate partnership opportunities, and define GO-AI's technical and operational plans to support them.
 * Build trusted partnerships with business and technical teams, serving as the primary GO-AI partner throughout the program lifecycle.
 * Design and lead human-in-the-loop solutions and AI workflows that bridge science, engineering, and operations.
 * Partner with GO-AI Software, Science, Data, and Business Intelligence Engineering teams to identify capability gaps, prioritize features, and influence long-term platform roadmaps.
 * Define success metrics, monitor program health, and use data to drive decisions, identify risks, and evaluate trade-offs.
 * Drive cross-functional reviews through clear written and verbal communication of program strategy, risks, trade-offs, and recommendations.
 * Drive process simplification by eliminating inefficiencies and building scalable mechanisms.