Sr Manager, Annotation Ops Integration, GO-AI

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

10+ years of technical product or program management experience

• 6+ years of team management experience
• Experience owning/driving roadmap strategy and definition
• Experience with feature delivery and tradeoffs of a product
• Bachelor's degree
• Experience in capacity planning, operations planning, business analysis or equivalent
• Experience working cross-functionally across several teams both technical and non-technical

Preferred Qualifications

• Experience delivering consumer software products and services in a high growth environment
• Experience in a fast-paced, automated, industrial, logistics, production or manufacturing environment
• Experience in operations planning for AI/ML data production, annotation, or expert workforce operations
• Track record converting bespoke operational solutions into standardized, repeatable service offerings
• Experience driving AI adoption or process automation within an operations organization
• Familiarity with make/buy decisions for operational software tools (WFM, scheduling, planning platforms)

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MA, North Reading - 197,900.00 - 267,800.00 USD annually USA, MA, Westboro - 197,900.00 - 267,800.00 USD annually

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.