Sr. Product Manager - Tech

Amazon is hiring a Sr. Product Manager - Tech in Seattle, United States. It pays $151k-$205k a year and Level rates it ; you can apply on Level.

Level's read on this job

Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include AI agents and AI evaluation.
Level lists 22,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

ai-agentsai-evaluation

Sellers’ trust in Amazon is our top priority. We are building a new generation of AI-native products to fundamentally change how Amazon identifies, understands, and eliminates the problems that create friction for selling partners. This is an opportunity to apply Large Language Models (LLMs), machine learning, and agentic AI to one of Amazon’s most complex problems: turning millions of fragmented seller signals into actionable intelligence and systematically eliminating the root causes behind them.

We are seeking a Senior Product Manager - Tech to lead a strategic AI initiative focused on reducing the need for selling partners WW to contact Amazon by systematically identifying and eliminating the root causes of seller friction. The initiative, Root Cause Elimination (RCE), will build an intelligent, end-to-end system that brings together seller signals across contacts, escalations, audits, and other mechanisms and uses AI to generate insights, identify and consolidate root causes, quantify and prioritize their impact, recommend preventive actions, and continuously validate whether those interventions eliminated the underlying seller problem. The vision is to move from teams manually finding and reacting to individual defects to an intelligent system that continuously learns from seller experiences and helps Amazon prevent those experiences from recurring.

From Day 1, this leader will have ownership of a large, ambiguous product space and the autonomy to define the product vision, AI strategy, technical roadmap, and customer experience. You will partner deeply with Engineering and Science to define LLM capabilities, agentic workflows, machine-learning models, human-in-the-loop mechanisms, and AI evaluation frameworks, while building experiences that enable Policy and Program teams to turn AI-generated intelligence into action. You will make high-judgment decisions about where AI can automate work, where human judgment should remain in the loop, and how the system earns trust as it scales globally.

The Senior Product Manager-Tech will be a bar-raising product leader and communicator who thrives at the intersection of AI, technology, and complex business problems. This role requires the ability to clearly articulate complex problems and solutions, align teams toward clear priorities, advocate for investment, and establish mechanisms that measure progress against shared goals. You will collaborate across Product, Engineering, Science, Operations, Policy, and Program teams and influence leaders across multiple VP-level organizations.

This is a global role with significant interaction with teams outside the United States and the opportunity to build a product from its earliest stages. The decisions made in this role will directly shape the experience of selling partners, how Amazon uses AI to identify and eliminate systemic seller defects, and our ability to build seller trust at scale. The opportunity is not simply to make existing processes more efficient with AI, but to build a fundamentally different way of finding and eliminating seller problems before they generate repeated friction and contacts.

Key job responsibilities
Define and evolve the product strategy and vision grounded in customer needs, internal insights, and external analysis.
Identify opportunities to improve the Selling Partner experience and translate them into products and features with clear business impact.
Own the product roadmap from concept to launch - prioritize ruthlessly for ROI, manage scope, and deliver a consistent cadence of high-quality releases.
Write clear, comprehensive requirements documents and partner with engineering to influence technical design, make tradeoffs, and unblock delivery.
Work directly with internal customers to understand their use cases, pain points, and existing solutions.
Drive execution by establishing clear ownership, project commitments, and reporting mechanisms that keep teams accountable.
Build and own cross-org mechanisms (QBRs, roadmap reviews, goal alignment) to drive visibility and coordinated execution across teams.
Communicate and evangelize product innovations to stakeholders and the broader selling community.
Query and analyze data to surface insights that inform strategy, prioritization, and business decisions at scale.

A day in the life
You will own the product roadmap deciding what gets built now, what comes later, and what doesn't make the cut.
You will use your technical instincts to challenge assumptions before they become expensive mistakes. You will think beyond the immediate ask and build products that hold up as needs evolve, not just patching today's problem but getting ahead of tomorrow's.
You will live in the tradeoffs by balancing what customers want, what the business needs, and what's technically realistic. When something is a bottleneck, you will find it. When something is inefficient, you will fix it. When there's no perfect answer, you will pick the best one and move.
You will ship. On time, with the right features, at a quality bar you're proud of. And then you will make sure people actually use it by evangelizing the value, making onboarding dead simple, and removing every reason someone might not adopt.
You will dive deep into data to inform your decisions, write clear documents for senior leaders, and guide cross-functional teams forward through influence and not authority. You will be equally comfortable in a technical design review and a strategy discussion, and you will thrive in an environment that moves fast and rewards clarity of thought.

About the team
As a part of WW Selling Partner Services (SPS), Selling Partner Trust strives to both a) ensure Selling Partners feel confident in growing their business with Amazon, and b) equip Selling Partners with the tools and information they need to maintain compliance with mandated regulatory requirements and adherence to Amazon policies. We build best-in class experiences for Selling Partners to sell in our store, understand and manage their business health, and remain compliant with Amazon’s policies and external regulation

Basic qualifications

- Bachelor's degree
- 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 managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Preferred qualifications

- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools

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 rate this

Sr. Product Manager - Tech at Amazon rates 68 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.

Key facts

Sr. Product Manager - Tech is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $151k-$205k a year.
The role is based in US, WA, Seattle.
The job was posted on October 16, 2026.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI Evaluation

Also common in AI product manager jobs at this level

Generative AI AWS SQL Azure RAG Python

Pay

This job starts at: $151k
Typical AI product manager job: $178k

This posting starts 15% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

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How do you decide that one model's output is better than another's for a given task?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI agents and AI Evaluation. 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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