AWS Training & Certification is transforming from a content catalog into AI-powered learning experiences for AWS customers. At the center of this transformation is Learning Architecture — the team that owns the knowledge layer every AI agent consumes: personas, skills, learning objectives, assessments, and quality rubrics.
We are looking for a Sr. Manager, Product Management – Technical (External Services) to lead the Learning Architecture team. This is a foundational leadership role. You will own the strategy, roadmap, and execution for the systems and specifications that determine what AWS learners are taught, how quality is measured, and how content scales across every product surface.
You will lead a team spanning Learning Architects, Quality & Rubric Engineering, Content AI Teammate product management, taxonomy governance, portfolio strategy, and customer insights.
Key job responsibilities Own the knowledge layer strategy. Define and execute the product vision, including the persona framework, skills, learning objective service, assessment architecture, and quality rubric system.
Lead and develop the Learning Architect team. Build and manage a team of Learning Architects that set the standard for what a great specifications looks like. Define the operating model for how Learning Architects collaborate with AI for adaptive personalized content creation. Hire, develop, and retain world-class talent in a role that is new to the industry.
Own content product development direction and strategy for the AI agents that helps Learning Architects. Partner with Applied Science and Engineering to define the roadmap and prioritize AI capabilities.
Drive quality at scale. Own the Quality & Rubric Engine — the system that validates AI-generated output against human-calibrated standards. Set the target, build the calibration methodology, and ensure nothing ships below the quality bar. Quality is not a gate you apply at the end; it is a system you build into the architecture.
Govern the AWS skill taxonomy. Own the governed skill structure that gives AI a consistent foundation to reason. Ensure cross-persona consistency, resolve conflicts, and maintain the integrity of the taxonomy as AWS services evolve.
Define portfolio strategy. Look across all personas to identify where to invest, where to sunset, and what new roles are emerging that don't yet have a Learning Architect assigned. Own the macro view of coverage, gaps, skills needs and shifts.
Operate as a senior leader in the Training Products org. Report to the Director of Training Products. Influence cross-org decisions on product architecture, engineering investment, and organizational design. Represent Learning Architecture in VP-level reviews. Partner with Engineering to ensure the systems your team depends on are built and maintained.
Basic Qualifications
- 5+ years of people management experience
- Bachelor's degree in Computer Science or a related field
- Experience in people management
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience overseeing roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience in building products with Agentic AI
Preferred Qualifications
- 8+ years of successful technology products work from ideation through launch experience
- Experience in successful technology product work from ideation through launch
- Experience delivering technology products or services in a high growth environment
- Experience shaping business strategy for technical products or services for large enterprises or partners
- Experience with cloud native technologies
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
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, NY, New York - 219,100.00 - 296,500.00 USD annually USA, VA, Arlington - 199,200.00 - 269,500.00 USD annually USA, WA, Seattle - 199,200.00 - 269,500.00 USD annually