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# Sr. Technical Program Manager, GO-AI Technology & Development Team

- **Company:** Amazon.com, Inc.
- **Location:** Westborough, MA, United States
- **Experience:** Expert
- **Salary:** $148,700.0 - $201,200.0
- **Contract:** Temporary contract
- **Skills:** Computer Vision, Model Validation, Information Technology, Automation Anywhere
- **Published:** July 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=73633a1dc6800132

## About the Role

* 6+ years of technical product or program management experience
 * 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
 * Bachelor's degree in engineering, computer science or equivalent
 * Experience defining technical requirements and partnering with engineering teams to deliver scalable technical solutions.
 * Demonstrated ability to drive clarity and define program structure in ambiguous domains.
 * Excellent verbal and written communication skills., * Experience with computer vision, human-in-the-loop systems, or model evaluation and deployment.
 * Experience influencing product or platform roadmaps across multiple engineering teams.
 * Track record of coaching and mentoring other Technical Program Managers.
 * Familiarity with robotics, fulfilment operations or large-scale annotation/labelling workflows.
 * Experience working with applied science teams and foundation model technologies.

## 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 senior leadership 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.


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