| Location | Redmond, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Amazon Leo is Amazon"s low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access.
We are seeking a Sr. Marketing Measurement Manager to own how Amazon Leo measures marketing. This role owns the measurement plan itself and holds it across global marketing, segment marketing, data science, data engineering, and our agency partners. You will own the measurement and reporting roadmap, the attribution and experimentation agenda, brand tracking, and the voice of customer program management, across consumer, business, and government segments.
This is a high-impact role requiring both strategic ownership and hands-on technical depth. Measurement capability at Amazon Leo is in development. You will decide what gets built and in what order, write the requirements that partner teams build to, and arbitrate between competing requests when capacity is the constraint.
Key job responsibilities
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the team
The Amazon Leo Marketing team is responsible for building a world-class brand and driving global demand for a transformational connectivity service. The Marketing Technology & Operations team builds the systems, data flows, measurement, and insights that support a multi-segment global business. We operate with the agility of a startup inside Amazon, partnering closely with Engineering, Product, Science, and global marketing teams to ensure our decisions are grounded in high-quality data.