4+ years of development of insights learning agendas and working closely with an insights team to design, execute, and draw clear and compelling insight experience
Experience equally comfortable building strategic marketing plans and executing at a tactical level
Experience building and optimizing multiple, simultaneous marketing campaigns
Experience managing or working within cross-functional marketing and creative teams
Experience building, executing and scaling cross-functional marketing programs
Experience in multi-territory campaign management
Experience in digital marketing and content production timelines and process
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, CA, Mountain View - 86,700.00 - 151,700.00 USD annually
USA, NY, New York - 86,700.00 - 151,700.00 USD annually
USA, WA, Seattle - 82,700.00 - 137,900.00 USD annually
Additional Information
We're looking for a hands-on marketing technologist who can bridge the gap between customer insights, experimentation strategy, and platform execution. This role sits at the intersection of marketing automation, data tooling, and program management.
You'll own the design and delivery of internal tools and frameworks that turn fragmented research, experiment outcomes, and performance signals into structured, accessible, and actionable knowledge for the broader marketing org.
Key job responsibilities
- Build and maintain internal tools and platforms that centralize customer insights, experiment learnings, and performance signals into accessible, reusable formats for the broader marketing team.
- Design and drive experimentation programs: define testing frameworks, structure hypotheses, coordinate execution across channels, and synthesize results into actionable recommendations.
- Manage projects from scoping through delivery, defining timelines, coordinating dependencies, removing blockers, and keeping cross-functional stakeholders aligned.
- Identify and automate repetitive day-to-day marketing tasks using AI-powered tools and no-code/low-code platforms - building intelligent workflows that save time without requiring deep technical expertise.
- Partner with engineering, data science, and marketing leads to identify automation opportunities, reduce manual overhead, and improve speed-to-insight.
- Translate business requirements into platform configurations, ensuring tools and systems reflect evolving marketing strategies.
- Drive adoption of new processes and tools across teams - you'll need to influence without authority, train peers, and iterate based on feedback.
Communicate progress, trade-offs, and outcomes clearly to both technical and non-technical stakeholders at multiple levels.