Product Manager III, Technical, WW Prime

AI in this role

Are you excited about shaping products that reach millions of customers? Do you thrive at the intersection of technology and customer experience, turning ambiguity into clear product strategy? As a Technical Product Manager at Amazon, you will own the vision, roadmap, and delivery of products that solve real customer problems at scale. You will partner closely with engineering, design, science, and business teams to define what we build and why — using data, customer insights, and sound judgment to make smart trade-offs. This role offers the opportunity to work on complex technical challenges, influence product architecture decisions, and drive meaningful business outcomes while keeping the customer at the center of everything you do.

Key job responsibilities
- Define product vision, strategy, and roadmap by working backward from customer needs, conducting research, analyzing usage data and market trends, and translating insights into clear problem statements and prioritized deliverables.
- Partner with engineering, scientists, end economists to evaluate technical proposals, define requirements for APIs and system components, and ensure product solutions balance performance, scalability, and long-term architectural integrity.
- Drive cross-functional alignment across engineering, science, design, finance, marketing, and operations to deliver products on time and at high quality, influencing teams with different priorities through clear communication and well-structured documents.
- Define success criteria and key performance metrics, distinguish between output and outcome measures, and use data analysis alongside sound judgment to inform decisions — leveraging generative AI capabilities where appropriate to accelerate insight generation and development cycles.
- Influence multiple VP-led organizations on their customer experience approaches and investment priorities
- Own the full product lifecycle from concept through launch and post-launch optimization, monitoring operational health, driving customer adoption, and iterating based on performance data and direct customer feedback.

A day in the life
You start your morning reviewing product metrics and customer feedback to identify emerging patterns. By mid-morning, you are in a design review with engineers, probing trade-offs in a proposed architecture change and aligning on next steps. After lunch, you draft a product requirements document for an upcoming feature, grounding it in recent customer research. Later, you connect with cross-functional partners in marketing and operations to coordinate an upcoming launch. Throughout, you use AI tools to prototype ideas and accelerate analysis, keeping your focus on delivering the right experience for customers.

About the team
Our team is focused on building products that make a meaningful difference for customers. We operate in a collaborative environment where product managers, engineers, designers, and scientists work side by side to solve complex problems and ship impactful solutions. We value curiosity, clear thinking, and a willingness to challenge assumptions. Looking ahead, we are investing in new capabilities — including AI-driven experiences — to push the boundaries of what our products can do. If you want to shape the future of technology-driven products at Amazon and grow alongside a talented, inclusive team, we would love to hear from you.

Basic qualifications

- Bachelor's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Preferred qualifications

- MBA, or Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Background in analytics and causal inference (strongly preferred)
- Experience working with Machine Learning Scientists, Economists, or other science domains to develop highly scalable systems that solve challenges around forecasting, optimization, personalization, or similar
- Demonstrated cross-functional ownership of complex, ambiguous initiatives, including communicating with senior leadership

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, WA, Seattle - 151,200.00 - 204,600.00 USD annually

How we score this

Product Manager III, Technical, WW Prime at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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