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.
- 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
- 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