Principal Product Manager Technical, External Services, AWS, GenAIUX

The AWS CX GenAIUX team is building intelligent personalized experiences that meet users where they are. We believe that different personasbuilders operators decision-makers learnersdeserve purpose-built GenAI applications tailored to their workflows mental models and goals. We are a fast-moving team that values customer obsession bias for action and thinking big. We believe that our customers need not to learn AWS rather we should learn customers and enable them to build on AWS wherever and however they prefer. We follow their intent and help them build.
Our team sits at the intersection of Artificial Intelligence and User Experience Our vision is to cater to the need of every personality of the customers define the future of persona driven applications and democratizing innovation for all customers on earth. We believe that different personas builders operators decision-makers and learners deserve purpose-built GenAI applications tailored to their workflows mental models and goals. We measure success trust earned adoption of applications and enhancing the AWS adoption.

Were building the future of how people and AI work together on cloud infrastructure and this role is central to that vision.
ABOUT THE ROLE

Model a builder PM culture where hands-on experimentation is the norm not the exception.
We are seeking a Principal Product Manager - Technical to define the ever-evolving persona strategy for AWSs GenAI-powered customer applications establish the application frameworks that translate persona insights into a portfolio of applications and drive flywheel for success of our customers at AWS.
This requires a person who can drive a vision with conviction remain stub-born on the vision yet flexible on the journey. This is a usability problem as much as a technology problem. The challenge is envisioning product for differentiated experiences where each customer intuitively understands the GenAI applications to leverage trusts them enough to integrate into their life delegate progressively complex work and feels in control throughout. You will define how different customer personas experience trust autonomy and transparency differently and translate that into distinct product experiences.
organization-level alignment on what we build for whom and why.

This is not a strategy-only the era of Generative AI the most impactful product leaders are hands-on builders who prototype before they prescribe validate with working artifacts before writing documents and earn engineering credibility by building alongside their teams. We expect you to be fluent in the tools and technologies youre shaping capable of prompting prototyping and evaluating GenAI systems firsthand (a hands-on builder).

This is a high-ambiguity high-impact opportunity to make a difference in AWS customers life with technology revolution. The problem space is largely undefined: we do not yet have a systematic understanding of how millions of AWS users (both tech and non-tech) e.g. from junior developers to C-suite executives should experience AI-native workflows differently. You will define the strategy build the mechanisms set the direction that an experienced engineering team executes against and personally validate critical bets through hands-on prototyping. You will operate with significant independence and influencing leadership roadmap decisions across AWS CX with laser focus on Customers.


Key job responsibilities
KEY RESPONSIBILITIES

Persona Strategy & Frameworks (Org-Level)
Define and own the persona strategy for AWS GenAI experiences establishing a scalable data-driven framework that the broader organization uses to segment prioritize and serve differentiated customer cohorts
Set the methodology for persona research (qualitative and quantitative) and direct L5/L6 PMs UX researchers and data scientists who execute against it
Establish a living persona framework that becomes an organizational asset referenced in OP1/OP2 planning used by engineering to make architecture decisions and adopted by adjacent AWS teams
Portfolio Strategy & Application Definition
Translate persona insights into a portfolio of GenAI application concepts defining the investment thesis for each: target persona differentiated value technical moat and business model
Own the working backwards narrative at the portfolio level authoring L7-grade PR/FAQs that articulate the 3-year vision and secure L8L10 sponsorship. Supplement narratives with functional prototypes that make the vision tangible.
Make hard prioritization decisions across competing application investments using a rigorous framework that balances customer impact technical feasibility time-to-value and strategic positioning
Product Roadmap & Org-Level Alignment
Define success metrics grounded in customer outcomes adoption by persona task completion rates trust signals (autonomy granted over time) friction reduction and retention with clear input/output metric trees that teams can decompose and own
Identify and escalate strategic trade-offs to senior leadership with clear recommendations
Cross-Functional & External Leadership
Influence senior leadership (L8L10) with compelling data-backed narratives that shape organizational priorities and resource allocation
Drive cross-org partnerships (Console Documentation Well-Architected Training & Certification) to ensure persona insights are leveraged broadly
Represent AWS externally customer advisory boards re:Invent sessions whitepapers live demos as the thought leader on persona-driven GenAI experiences
Engage directly with external AWS customers to understand their workflows observe how they interact with agent experiences across personas and ensure design decisions are grounded in real behavior
Attract mentor and develop PM talent; raise the product management bar across the team. Model a builder PM culture where hands-on experimentation is the norm not the exception.
BASIC QUALIFICATIONS

4 years of technical experience (software development ML/AI systems or other hands-on engineering work)
10 years of technical product management program management or engineering experience with at least 5 years at a senior/principal level owning portfolio-level strategy
Experience delivering large-scale products where you are responsible for the full product lifecycle from concept through launch
Experience building complex software systems that have been successfully delivered to customers
Demonstrated experience shipping AI/ML or Generative AI products at scale
Hands-on experience building with GenAI tooling evidence of personal prototyping prompt engineering or building functional demos/POCs (not just writing requirements for others to build)
Proven ability to operate in high-ambiguity environments defining both the problem and the solution where neither is well-understood
Track record of influencing org-level strategy and driving alignment across multiple teams (engineering science design business)
Experience establishing mechanisms and frameworks adopted beyond your immediate team
Bachelors degree in Computer Science Engineering or a related technical field (or equivalent experience)
PREFERRED QUALIFICATIONS

MBA or advanced technical degree (MS/PhD in CS AI/ML HCI or related field)
Understanding of Large Language Models agentic architectures agentic solutions and conversational AI sufficient to discuss architectural trade-offs independently with tech team
Experience with AI development tooling (e.g. Amazon Bedrock SageMaker LangChain agent frameworks evaluation harnesses)
Experience with UX research methodologies usability testing customer journey mapping behavioral analytics persona development ethnographic research Jobs-to-Be-Done
Track record of external thought leadership (conference talks published papers live demos at industry events)
Knowledge of AWS services and the AWS customer ecosystem
WHY HANDS-ON MATTERS FOR THIS ROLE

In the GenAI era the speed of innovation means the gap between strategy and execution must collapse. AI products are probabilistic their behavior can only be understood through direct experimentation not specification documents. A PM who hasnt prompted the model stress-tested edge cases or built a working prototype simply cannot make informed prioritization decisions about what to build next.


- 7 years of working as a Technical Product Manager experience
- 5 years of technical (software development network development IT other related) experience
- Experience delivering large-scale SaaS PaaS or LaaS products where you are responsible for the full product lifecycle from concept through GTM (go to market)

- 5 years of working as a Technical Product Manager experience

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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 - 181100.00 - 245000.00 USD annually