Manager, People Programs & Workforce Transformation, GO-AI
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 1, 2026. Amazon scores A on the Alion truth index.
The Manager, People Programs & Workforce Transformation will lead the end-to-end talent lifecycle for GO-AI's associate workforce; spanning engagement, performance management, workforce mobility, instructional design, AI upskilling, internal communications, and leadership development. You will own the systems that determine how talent is assessed, certified, moved between programs, and prepared for an AI-augmented future. You will design the certification frameworks that feed automated workforce allocation tools, build the career architecture for roles evolving from manual annotation toward AI quality oversight, and ensure the high-volume hiring pipeline delivers associates who meet readiness standards from day one.
As GO-AI evolves from a labor-led service to a tech-enabled operation, this role is the engine of workforce transformation, ensuring associates are skilled for emerging AI-augmented work, leaders are developed at every level, and talent mobility systems connect workforce supply to program demand with minimal friction.
Key job responsibilities
- Own and evolve the talent programs portfolio across four sub-verticals: Talent Development, Instructional Design, Internal Communications, and Data Insights, ensuring they operate as a unified system serving all Ops pillars
- Own the high-volume hiring pipeline for annotation associates, including assessment design, intake criteria, onboarding velocity targets, and quality-of-hire measurement
- 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.
Basic qualifications
- 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
Preferred qualifications
- 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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