Principal Product Manager - Tech, New Product Success

AI in this role

Own the multi-year vision, roadmap, and ML-powered systems for Amazon's third-party seller product success team.

product-managementmachine-learningaistrategyroadmap

Most AI in commerce helps customers find what already exists. We help shape what should exist.

Third-party sellers account for about 60% of units sold in Amazon's stores. New Product Success helps them identify, launch, and scale new products, and helps customers discover them. As AI reshapes shopping, the store that wins won't have the most products. It will have the products customers actually want. That's the problem we solve, with ML and AI at the core.

As the Principal PMT on New Product Success team, you will own the ML-powered system that turns unmet customer demand and gaps in our selection into launch opportunities for sellers. That means finding what customers want but can't find using internal and external signals, sizing and ranking those gaps, personalizing them for each seller, and setting up for success each opportunity through launch and discovery across shopping surfaces.

Few roles let a product leader own the ML, the user experience, and the marketplace growth outcome end to end. This one does, and it's high-visibility, high-leverage, and central to how Amazon's selection grows. The results are tracked as company level goal by Amazon's executive leadership team.

Key job responsibilities
• Own the multi-year vision, strategy, and roadmap for this space, working backwards from both customers and the sellers who serve them.
• Define product requirements for the ML systems behind the experience, including product clustering, unmet demand and selection gap detection, opportunity sizing and ranking, and personalization.
• Own the seller-facing experience: which opportunities each seller sees, when, and why, so guidance is clear, trusted, and actionable.
• Close the loop from opportunity to launch, measuring whether guided launches succeed and feeding those learnings back into the models.
• Shape the economic model that makes launching guided selection the rational choice for sellers - spanning fee incentives, discovery support, and risk-sharing mechanisms that close the gap with low-cost competitors.
• Partner with engineering, science, design, user research, and marketing, and influence Directors and VPs across Amazon through PRFAQs, strategic narratives, and business reviews.
• Set the metrics, mechanisms, and experimentation strategy that prove impact and guide future investment.

Basic qualifications

- Bachelor's degree
- 8+ years of technical product or program management experience
- Experience with feature delivery and tradeoffs of a product
- Experience leading large projects through the full product development life cycle in a large, cross-functional team
- Experience contributing to the architecture and design of new and current systems
- Experience defining and shipping ML-powered products, such as recommendation, ranking, personalization, or prediction systems
- Experience communicating product strategy and influencing senior leadership through written narratives and executive reviews

Preferred qualifications

- Experience in project management methodologies, business analysis, or process improvement
- MBA, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience with generative AI, LLMs, or agentic experiences in production
- Experience with two-sided marketplaces or seller, merchant, or partner-facing platforms
- Experience leading complex, multi-year initiatives that span business and technology

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 - 179,900.00 - 243,400.00 USD annually

How we rate this

Principal Product Manager - Tech, New Product Success at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

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

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Product ManagementMachine LearningAIStrategyRoadmap

Questions you could be asked

Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where ai was part of your work. What did you do?
Tell me about a project where strategy was part of your work. What did you do?
Tell me about a project where roadmap was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Product Management, Machine Learning, AI, Strategy, and Roadmap. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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