About the role

What will you do at Amazon?

Ready to shape the trajectory of applied AI and build breakthrough solutions

that redefine what's possible for customers?

We are seeking an experienced AI Product Manager - Technical to own the

end-to-end lifecycle of large-scale AI products that transform how millions of

customers experience Amazon. This role combines deep technical acumen with

business strategy to drive products that don't just meet requirements, they

redefine what's possible in customer service and experience at global scale.

The Data Intelligence team is a new function within Amazon Customer Service. a

global, cross-functional organization of applied scientists, data scientists,

economists, software engineers, data engineers, and technical product managers

dedicated to advancing AI capabilities. We build data solutions and contextual

intelligence using Generative AI, Machine Learning, Natural Language Processing,

Ontology, Agentic AI, Multi-Agent Architectures, Reinforcement Learning,

Knowledge Graphs, and Model Context Protocol. We move with urgency, build for

the long term, and obsess over getting customer experience right, because our

work succeeds only when it creates meaningful impact and improves outcomes for

customers.

Key job responsibilities

- Own the Complete Product Lifecycle: You will define and communicate strategic

vision and long-term roadmaps, drive cross-functional teams toward successful

execution, and maintain accountability for customer outcomes and product

reliability.

- Develop Product Strategy and Communications: You will craft clear,

differentiated value propositions tailored for diverse audiences including

leadership.

- Navigate Ambiguity and Drive Invention: You will identify where invention is

needed, take smart risks, distinguish between one-way and two-way doors, and

ensure gaps and opportunities within or between regions, architectures, and

business organizations are identified and addressed.

- Build Consensus Across Functions: You will partner effectively with design,

engineering, science, and other leaders to align roadmap priorities and

influence cross-functional strategies.

- Develop and Mentor Technical Product Leaders: You will actively contribute to

talent acquisition, participate in hiring and interview processes, and play a

role in the career development of other product managers.

A day in the life

A typical day as an AI Product Manager, Technical, in the Data Intelligence team

involves combining strategic vision with hands-on problem-solving across machine

learning, generative AI, natural language processing, agentic AI, multi-agentic

AI architectures, and advanced data science. You will own complex product

initiatives, ensure alignment with customer needs and business objectives, and

translate customer and business requirements into practical AI-driven solutions.

Working collaboratively with cross-functional teams including applied

scientists, data engineers, software engineers, and business leaders, you will

define product direction, evaluate technical approaches, and focus on customer

impact, efficiency, and scalability.

Daily activities include reviewing customer feedback and performance data,

identifying product opportunities and risks, and operating like a startup

leader.

About the team

The Data Intelligence team is a new function within Amazon Customer Service, a

global, cross-functional organization of applied scientists, data scientists,

economists, software engineers, data engineers, and technical product managers

dedicated to advancing AI capabilities and creating meaningful impact for

customers.

We build data solutions and contextual intelligence using Generative AI, Machine

Learning, Natural Language Processing, Ontology, Agentic AI, Multi-Agentic AI

Architectures, Reinforcement Learning, Knowledge Graphs, and Model Context

Protocol. We move with urgency, build for the long term, and prioritize getting

customer experience right, because our work is only successful when it

meaningfully improves outcomes for customers. Basic

Qualifications

- Bachelor's
degree
- 7+ years of end to end product delivery experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product Preferred

Qualifications

- Experience working directly with Engineers on product
enhancements
- Experience in project management methodologies, business analysis, or process
improvement
- Experience leading engineering discussions around technology decisions and
strategy related to a product
- Experience as a strong leader who can prioritize well, communicate clearly and
effectively influence across cross-functional teams
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
[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
[https://amazon.jobs/en/benefits].
USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually

Which skills does this role require?

Product lifecycle managementStrategic planningGenerative AIMachine learningNatural language processingAgentic AIMulti-agent architecturesReinforcement learningKnowledge graphsOntologyData scienceTechnical leadershipCross-functional collaborationRoadmap developmentStakeholder managementProduct strategyAIProduct ManagementMachine LearningNatural Language ProcessingMulti-Agent ArchitecturesReinforcement LearningKnowledge GraphsModel Context ProtocolData ScienceProduct LifecycleRoadmap StrategyCustomer ServiceTechnical Product ManagementScalabilityCross-functional LeadershipData EngineeringSoftware EngineeringApplied ScienceStrategic VisionProduct ReliabilityTalent AcquisitionMentorshipProcess ImprovementLLMsProduct Strategy

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