Sr. Software Development Manager AI Memory Systems, Customer 360
Seattle, WA - USA
Department:
Job Summary
Were hiring a Senior Manager to lead the teams that build Amazons AI memory the system that understands who each customer is what they care about whos in their family (pets included) and what they need next. Your work powers every major AI experience at Amazon: Alexa Alexa for Shopping Search Homepage Prime Video Music Audible Health AI and more. This is a critical company-wide initiative touching every business at Amazon.
What makes this role different:
* You own the full pipeline from raw signal to real-time AI retrieval not just one piece of the stack
* Your science teams generate inferences across all of Amazons businesses not a single vertical
* You partner with 10 organizations and influence without authority at the most senior levels
* You build for conversational AI agents that need to recall the right memory in the right moment at real-time speed
The systems you own are already at massive scale and growing fast this isnt a roadmap on a whiteboard
If you want to shape how AI understands and remembers hundreds of millions of customers and you thrive leading science and engineering teams through ambiguity at scale this is the role.
Key job responsibilities
Lead and grow multiple science and engineering teams that generate store and serve customer inferences across all Amazon businesses building the AI-ready representations that power personalized experiences for hundreds of millions of customers.
Own the customer inference pipeline end-to-end: from raw signals (purchases browsing streaming listening reading conversations) through inference generation to real-time retrieval by AI agents and recommendation systems.
Define and execute the technical strategy for family and household understanding identifying the important people pets and vehicles in each customers life and enabling personalized recommendations for each.
Drive memory quality at scale: establish precision and recall targets build evaluation frameworks and continuously improve the accuracy of both explicit memories (what customers tell us) and inferred memories (what we learn from their behavior).
Serve as the primary technical voice for customer understanding in executive reviews translating complex inference systems into clear narratives about customer impact and business value.
Partner with 10 organizations (Alexa Alexa for Shopping Search Prime Video Music Audible Books Ads Grocery Health AI Amazon Business) to ensure customer memories are adopted and delivering value across every major Amazon surface.
Build and operate contextual retrieval systems that serve the right customer memories to the right AI agent at the right moment under strict latency requirements.
Define privacy-by-design principles for customer memory: ensure every inference respects consent deletion promises regulatory requirements and customer trust while maximizing personalization value.
Establish cross-business data governance standards authoring schemas onboarding processes and quality gates that allow dozens of businesses to contribute customer signals into a unified system without compromising data integrity.
Hire develop and retain world-class applied scientists and engineers fostering a culture of scientific rigor rapid experimentation and customer obsession.
About the team
Customer 360 is Amazons central memory system. Our mission: when a customer interacts with any part of Amazon every other part reflects that understanding immediately. We process signals from across Amazon shopping streaming listening reading browsing and conversations and transform them into AI-ready memories that power personalized experiences for hundreds of millions of customers worldwide. Our memories fuel Amazons largest AI initiatives including Alexa Alexa for Shopping Health AI conversational assistants generative recommendation systems and personalized discovery across every major surface. We operate at massive scale. We are a team of builders who believe that understanding customers deeply and remembering what matters to them is the foundation of every great AI experience.
- 10 years of engineering experience
- 5 years of engineering team management experience
- 10 years of planning designing developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs projects and development teams in an Agile environment
- Experience partnering with product and program management teams
- Experience designing and developing large scale high-traffic applications
- Experience with AI/ML 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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 220100.00 - 297700.00 USD annually
Required Experience:
Manager
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more