Sr. Product Manager Technical, Cross Channel Marketing (XCM) Science and Analytics
We're seeking a Senior Product Manager - Technical (PMT III) to own the product roadmap for Data, Measurement, and Optimization (DMO) within Amazon's 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 stakeholders—collecting 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 organization's 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 Amazon’s marketing funnel—from 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.- 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- 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 Company’s 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 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.
USA, CA, Santa Monica - 151,200.00 - 204,600.00 USD annually
USA, NY, New York - 166,300.00 - 225,000.00 USD annually
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
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 stakeholders—collecting 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 organization's 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 Amazon’s marketing funnel—from 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.- 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- 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 Company’s 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 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, CA, Santa Monica - 151,200.00 - 204,600.00 USD annually
USA, NY, New York - 166,300.00 - 225,000.00 USD annually
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
Product pay context
Based on 1,793 disclosed Product salaries on RoleSuite, the role pays a median of $176K/year, with most offers between $144K and $216K (10th–90th percentile: $116K–$260K).
See the full Product salary breakdown →