Build and deliver the AI workforce readiness strategy, including upskilling curriculum, digital learning paths, and proficiency certification for associates and leaders operating in AI-augmented workflows
Define career architecture for evolving roles, establishing progression criteria, skill taxonomies, and readiness assessments at each transition point
Design and maintain competency certification frameworks that define the skill assessments and certification gates governing cross-pillar workforce movement
Drive leadership development programs, ensuring structured learning pathways exist at each career transition and measuring leadership effectiveness as a standard metric
Own retention and engagement levers including employee sentiment platforms, recognition programs, and communications that connect associates across India and Costa Rica to organizational direction
Lead and develop a geographically distributed team across India and Costa Rica, spanning program managers, instructional designers, communications specialists, and data insights analyst
About the team
GO-AI is a technology enablement organization that accelerates the development and enhances the performance of AI-based robotic and automation solutions for Amazon Robotics (AR) and key Worldwide Operations programs. We combine human expertise with machine learning to produce high-quality training data, validate model outputs, and continuously improve AI system performance across many annotation programs and a large global workforce.
Bachelor's degree
5+ years of team management experience
6+ years of learning & development, talent management, or program management experience
Experience managing complex curriculum portfolios or learning solution lifecycles for large learner populations (1,000+)
Experience designing competency or certification frameworks at scale
Experience managing programs across multiple geographies and cultures
Experience in AI/ML operations, data annotation, or expert workforce environments
Experience with workforce mobility, internal talent marketplace, or skills-based talent systems that feed automated workforce allocation decisions
Experience with high-volume associate hiring pipelines including assessment design and onboarding program ownership
Experience deploying AI-enabled learning tools (LLM-based training, adaptive learning platforms, AI-powered content generation)
Experience driving cultural engagement and retention programs
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