Sr. Product Manager Technical, Cross Channel Marketing (XCM) Science and Analytics

Were seeking a Senior Product Manager - Technical (PMT III) to own the product roadmap for Data Measurement and Optimization (DMO) within Amazons XCM (Cross-Channel marketing) org.

DMO enables XCM to make better decisions through trusted data scalable reporting experimentation measurement and optimization capabilities. The team builds the technical foundation that connects marketing operations media activation analytics and science transforming fragmented datasets and workflows into a unified platform for decision making and continuous improvement.

This role sits at the intersection of Product Science Engineering Analytics Marketing Operations and Media. The successful candidate will partner closely with scientists economists engineers analysts media leaders and marketing operators to understand business needs identify capability gaps and translate them into a coherent product strategy and roadmap.

Rather than acting as the sole source of innovation the PMT serves as the connective tissue across stakeholderscollecting feedback synthesizing diverse perspectives building compelling narratives prioritizing investments and driving execution against a long-term vision. The role requires strong product judgment technical depth and the ability to align multiple disciplines around a common roadmap.

A core responsibility of this position is scaling experimentation and analytical decision-making across the organization. This includes building the infrastructure tooling and operational mechanisms that enable scientists and business stakeholders to design execute measure and learn from experiments that improve audience targeting media allocation campaign execution and marketing effectiveness.

The role will also help establish the long-term evolution of DMO toward AI-powered decision support enabling marketers to move from reactive reporting to proactive insights anomaly detection experimentation recommendations and optimization opportunities surfaced automatically through intelligent systems.


Preferred Qualifications

Experience building experimentation measurement analytics or optimization platforms.

Experience working with Scientists Business Intelligence Data Engineers and Software Development Engineers to operationalize analytical methodologies.

Familiarity with causal inference randomized controlled trials incrementality testing audience experimentation geo testing media measurement MMM and attribution methodologies.

Experience partnering with Marketing Media or Advertising organizations.

Experience managing complex cross-functional roadmaps involving Product Science Engineering Analytics Business stakeholders and External data providers and advertising platforms.

Strong written communication skills including experience developing PRFAQs strategy documents OP1/OP2 narratives and executive reviews.

Key job responsibilities

Define and execute the product roadmap for DMO capabilities spanning reporting measurement experimentation optimization data quality and decision-support tooling.

Explore help define and implement emerging AI and agentic technologies that will improve marketing measurement insight generation anomaly detection optimization and decision support.

Partner closely with Marketing Operations and Media stakeholders to understand workflows pain points and decision-making processes ensuring DMO capabilities scale effectively across the organization.

Serve as the Voice of the Customer across media operations analytics and science stakeholders translating business needs into prioritized product investments.

Build product narratives PRFAQs strategy documents business cases and roadmap proposals that align diverse stakeholders around common goals and priorities.

Collaborate with Scientists Business Intelligence Engineers Software Engineers and Marketing leaders to identify high-value opportunities and translate them into scalable products and platforms.

Develop products and mechanisms that enable rigorous experimentation methodologies including randomized controlled trials geo experiments holdouts audience experiments lift studies incrementality measurement clean room measurement and causal inference frameworks.

Drive the product strategy for experimentation infrastructure ensuring teams can efficiently register launch monitor analyze and learn from experiments across channels and marketplaces.

Establish mechanisms to prioritize track and govern the organizations analytics and experimentation portfolio ensuring resources are allocated to the highest-value opportunities.

Define success metrics and inspect adoption experimentation velocity reporting quality and business impact to continuously improve DMO products.



About the team
The Worldwide Integrated Marketing Systems and Intelligence (WIMSI) Tech team builds foundational technology for Amazons marketing funnelfrom brand-building to product discovery and conversion. With a regional structure that emphasizes speed and autonomy US teams lead upper-funnel initiatives while EU teams focus on mid/lower funnel and Prime Value. This setup allows for localized agility while building globally scalable solutions. WIMSI combines deep domain expertise with applied science and engineering to deliver high-velocity customer-centric marketing innovation.

- Bachelors 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

- 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt 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 CA Santa Monica - 151200.00 - 204600.00 USD annually
USA NY New York - 166300.00 - 225000.00 USD annually
USA WA Seattle - 151200.00 - 204600.00 USD annually