We are seeking an experienced Senior Product Manager to join our global analytics team to help lead the analytics strategy for Amazon's Fire TV and Tablet apps business, partnering with global teams to deliver data solutions that empower business development, marketing, and finance leaders across the globe. The ideal candidate is a self-starter with excellent product management skills, a strategic thinker, and a strong communicator with excellent cross-org collaboration skills.

• The Amazon Content & App Partner Engagement (CAPE) Business Intelligence team is looking for a Product Manager

• Technical (PM-T) who will own the product strategy and roadmap for analytics initiatives that support business development, international marketing, finance, legal, and solutions architecture stakeholders across the US, APAC, and EMEA. You will play a critical role in scoping complex, multi-month projects, driving cross-functional alignment, and communicating progress and risks to leadership. This role will be based in Seattle and will work closely with a team of business intelligence engineers and business analysts to deliver data-driven insights and analytics solutions for the Fire TV and Tablet 3P apps business.

• Key job responsibilities

• Own the end-to-end product roadmap for analytics and business intelligence initiatives, from intake and prioritization through delivery and launch

• Lead cross-functional project teams across multiple organizations and global time zones to deliver new dashboards, data pipelines, and ML/AI-powered analytics solutions

• Partner closely with business development, marketing, finance, legal, and solutions architecture teams to translate ambiguous business questions into well-scoped analytical projects

• Define requirements, success metrics, and launch plans for short- and long-term projects; track deliverables, milestones, bottlenecks, and risks

• Drive adoption of self-service analytics and AI-powered tools among stakeholders, reducing manual effort and improving time-to-insight

• Communicate project status, risks, and outcomes to senior leadership and cross-functional stakeholders with clarity and confidence

A day in the life
A day in the life of a CABI PMT commonly involves managing stakeholder requests and leading sprint planning sessions, ensuring the team stays aligned on priorities across multiple analytics initiatives. You'll collaborate with Business Analysts, Business Intelligence Engineers and other Product Managers across global time zones, translating complex stakeholder needs into clear technical requirements. Your day could include scoping a new dashboard with a BIE or reviewing SQL queries for a marketing campaign analysis. Days often include stakeholder meetings where you present insights, new initiatives, or conduct root cause analyses on data quality issues. You'll balance multiple projects simultaneously ensuring each delivers measurable impact while mentoring team members on best practices.

About the team
The CAPE Business Intelligence (CABI) team delivers critical insights and analytics to business development, marketing, legal, and finance stakeholders across the US, APAC, and EMEA. The team brings together talented analysts, engineers and product managers to deliver insights that drive decision-making across the Fire TV and Tablet 3P apps business. We work with content providers and app developers in the entertainment and gaming industries, supporting products that reach millions of customers worldwide. Our team operates globally with members in the United States, United Kingdom, Germany, and Japan, fostering a collaborative culture that values diverse perspectives and innovation.

Basic Qualifications

• Bachelor's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent
• 5+ years of product or program management, product marketing, business development or technology experience
• Experience bridging technical and business teams to collect and refine requirements, prioritize incoming work requests, and ensure all committed work is delivered on time
• Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment

Preferred Qualifications

• Experience in using analytical tools, such as Tableau, Qlikview, Quick Sight
• Experience in building and driving adoption of new tools
• Experience solving problems with technology in the Media & Entertainment Industry
• Experience in data science, business analytics, business intelligence, or similar experience in big data environments
• Experience with Agile or other program management methodologies
• Experience with AI/ML technologies
• Travel up to 15% of the time
• Experience managing projects across global, distributed teams

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