Product Manager III - Tech, Reputation Marketing & Insights

Amazon is hiring a Product Manager III - Tech, Reputation Marketing & Insights in New York, United States. It pays $166k-$225k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions LLMs, product management and survey design among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Owns the product strategy and roadmap for reputation marketing survey measurement platforms, leveraging AI tools and LLMs to accelerate research workflows.

LLMs

product-managementsurvey-designdata-integrationai-tools

The individual selected for this position will own the product strategy, roadmap, and delivery of RMI's survey measurement platform — the system that determines how hundreds of millions of dollars in reputation marketing investment are defined, measured, and optimized.

The work will challenge you to be resourceful, think big while staying connected to the details, translate complex research requirements into scalable technical solutions, and embrace a high degree of change and ambiguity at speed. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing.

Key job responsibilities
Reputation Marketing & Insights (RMI) is hiring a Product Manager - Technical to define the product and technology strategy for the team's measurement capability. You will own the full lifecycle of survey-based measurement products — from audience definition and instrument design through data integration, analysis infrastructure, and stakeholder-facing outputs. Product strategy, methodology, technology approach, and vendor relationships are yours to define. You will deliver independently with limited guidance.

Working with media, data science, public policy, and creative teams — as well as external research agency partners — you will identify where manual research processes create drag and define product solutions that scale. You will architect the system that connects survey instruments to operational data — media delivery logs, audience segment behavior, earned media signals, and programmatic outcomes — to explain why survey results move, not merely that they moved. You will evaluate and leverage AI/ML tools, large language models, and agentic frameworks to accelerate research workflows, improve analytical depth, and reduce dependency on manual vendor processes. You will define technical requirements — including survey instrument APIs, data integrations, attribution frameworks, and cloud architecture — and articulate when a new technology is needed (and when it is not). You will manage external research agency partnerships end-to-end, owning the long-term build-vs-buy roadmap for which measurement capabilities remain outsourced versus built internally. You will be accountable for measurement product quality, methodological rigor, research operations uptime, and strategic relevance.

A day in the life
You will define product strategy and own the full lifecycle for a portfolio of measurement products — from survey instrument design through deployment of scalable research infrastructure. You'll build audience segmentation methodology that determines who belongs in the persuasion target and how to reach them through paid channels. You'll run your own crosstabs and statistical tests against weighted survey data, translating findings into recommendations that reallocate spend or adjust targeting. You'll define the operational handoff between campaign execution and measurement systems. You'll evaluate emerging AI capabilities for automating research workflows with agency vendors. You'll navigate a volatile environment where public affairs issues shift faster than annual research cycles accommodate — adapting methodology on the fly.

About the team
Our team strives to identify the persuasive return on investment for every dollar we spend. We build marketing plans that persuade our core audiences through best-in-class media tactics and measurement methodology that enables us to optimize towards the principles and platforms that achieve real-world outcomes at the expense of those that don't.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic qualifications

- 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
- Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products
- 7+ years of product or program management, product marketing, business development or technology experience
- Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems

Preferred qualifications

- Experience in influencing senior leadership through data driven insights
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience analyzing data quantitatively and using customer research, data and metrics to back up assumptions, identifying opportunities, and assessing the efficacy of marketing programs
- Experience on the research vendor side or within the research group of a media company
- Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience using financial models, KPIs, and data analysis to support business decisions
- Experience with explainable machine learning and artificial intelligence methodologies and 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, NY, New York - 166,300.00 - 225,000.00 USD annually
USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually

How we rate this

Product Manager III - Tech, Reputation Marketing & Insights 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Product Manager III - Tech, Reputation Marketing & Insights is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $166k-$225k a year.
The role is based in US, NY, New York.
The job was posted on July 21, 2026.
Seniority: senior.
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

Product ManagementSurvey DesignData IntegrationAI ToolsLLMs

Also common in AI product manager jobs at this level

AI agents Generative AI Azure RAG Python Google Cloud

Pay

This job starts at: $166k
Typical AI product manager job: $178k

This posting starts 7% below the typical AI product manager job. See AI product manager jobs

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 survey design was part of your work. What did you do?
Tell me about a project where data integration was part of your work. What did you do?
Tell me about a project where ai tools was part of your work. What did you do?
Walk me through how you've used LLMs in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Product Management, Survey Design, Data Integration, AI Tools, and LLMs. 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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