Head of Learning Architecture, AWS Training and Certifications

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Content Development, Customer Experience, Customer/Client Research, Establish Priorities, Leadership, Organizational Development/Management, Product Development, Product Engineering, Product Management, Quality Engineering, Quality Metrics, System Validation, Systems Engineering, Taxonomies, Team Lead/Manager, Training/Teaching
LOCATION
Seattle, WA
POSTED
21 days ago

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.

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