Sr Manager, Annotation Ops Integration, GO-AI

Amazon.com Inc

MA

JOB DETAILS
SKILLS
Accounts Receivable, Artificial Intelligence (AI), Automation, Capacity Management, Centralized Operations/Management, Continuous Improvement, Cross-Functional, Data Modeling, Go Programming Language (Golang), International Operations, Leadership, Machine Learning, Model Validation, Onboarding, Operations Management, Organizational Development/Management, Performance Management, Process Improvement, Product Management, Productivity Management, Quality Assurance, Quality Metrics, Robotics, Strategic Planning, Systems Scalability, Technical Leadership, Technical Operations, Workforce Planning
LOCATION
MA
POSTED
10 days ago

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.

This Senior Manager, Technical Product Management will lead central operations functions within GO-AI, including quality assurance, labor planning and capacity management, and people development initiatives (upskilling, learning programs, career progression). You will own the strategy for GO-AI operations capabilities and evolution, translating demand signals into production-ready capacity plans and converting program-specific operational patterns into scalable, repeatable processes. You will drive operational efficiency initiatives, evaluate and adopt tools to improve workforce planning and utilization, and lead AI-enabled process improvement across the organization.

As GO-AI evolves from a labor-led service to a tech-enabled operation, this role will ensure the operational foundation, including workforce readiness, quality standards, and capacity planning, adapts in step with that transformation.

Key job responsibilities

  • Define and execute the strategy for GO-AI"s central operations capabilities, ensuring quality, capacity, and people development functions operate as a unified, scalable system
  • Deliver annual operational efficiency targets through kaizen, process automation, and workforce utilization improvements
  • Translate variable customer demand into reliable capacity plans that balance cost, quality, and delivery speed
  • Convert program-specific operational patterns into standardized service offerings that scale across the portfolio
  • Own the associate lifecycle from onboarding through upskilling, ensuring workforce readiness keeps pace with new program launches and evolving AI model requirements
  • Lead tool strategy for workforce planning and capacity management, driving adoption of platforms that replace manual processes
  • Represent operations in cross-functional forums with engineering, science, and product leadership
  • Lead and develop a geographically distributed team across the United States, India, and Costa Rica, ensuring alignment and operational consistency across time zones

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles