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

About the role

The Worldwide Integrated Marketing Systems and Intelligence (WIMSI) Tech team builds foundational technology for Amazon's marketing

Requirements

• 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.

Additional Information

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.

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