Manager, People Programs & Workforce Transformation, GO-AI

AI in this role

Lead end-to-end talent lifecycle and workforce transformation programs for GO-AI's associate annotation workforce.

ai-data-labelingtalent-managementinstructional-designworkforce-transformationai-upskillingchange-management

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

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.

How we rate this

Manager, People Programs & Workforce Transformation, GO-AI at Amazon rates 65 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.

Classification

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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Data LabelingTalent ManagementInstructional DesignWorkforce TransformationAI UpskillingChange Management

Questions you could be asked

How do you keep labeling instructions consistent across a large annotation team?
Tell me about a project where talent management was part of your work. What did you do?
Tell me about a project where instructional design was part of your work. What did you do?
Tell me about a project where workforce transformation was part of your work. What did you do?
Tell me about a project where ai upskilling was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Data Labeling, Talent Management, Instructional Design, Workforce Transformation, and AI Upskilling. 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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