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

Job in Santa Monica, Los Angeles County, California, 90403, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 151200 - 204600 USD Yearly USD 151200.00 204600.00 YEAR
Job Description & How to Apply Below
Position: Sr. Product Manager Technical, Cross Channel Marketing (XCM) Science and Analytics

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

Job :  |  Services LLC

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.

Key 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 to 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.
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, external data providers, and advertising platforms.
  • Strong written communication skills, including experience developing PRFAQs, strategy documents, OP1/OP2 narratives, and executive reviews.
  • Experience in using analytical tools such as Tableau, Qlik View, Quick Sight.
  • Experience building and driving adoption of new tools.
Basic Qualifications
  • Bachelor's degree.
  • Experience owning and driving roadmap strategy and definition.
  • Experience with feature delivery and trade‑offs 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 representing and advocating for a variety of critical customers and stakeholders during executive‑level prioritization and planning.
About the Team

The Worldwide Integrated Marketing Systems and Intelligence (WIMSI) Tech team builds foundational technology for Amazon’s marketing funnel—from…

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