Marketing Activation Specialist , Attraction, Influence, and Marketing (AIM)
Amazon · Seattle, WA · Marketing & PR
About this role
Amazon is hiring a mid-level Marketing Manager based in Seattle, WA. The posting calls out experience with Tableau, Performance Optimization. Compensation is listed at $109,100–$160,000 per year.
- Role
- Marketing Manager
- Function
- marketing
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Seattle, WA
- Department
- Marketing & PR
- Posted
- May 19, 2026
More roles at Amazon
Job description
from Amazon careersWe're reinventing how to attract and hire quality talent at scale – come join us. We're seeking a Marketing Activation Specialist to drive marketing activation decisions and performance optimization across Amazon's fulfillment sites in the Americas. Similar to a Marketing Operations Specialist, this role combines data-driven activation logic, risk assessment, and stakeholder alignment to maximize recruitment marketing efficiency and fill rate performance. You help thousands of people get a job every year As a marketing performance analyst with cross-channel impact, you'll manage weekly marketing activation decisions that determine application needs and paid marketing support levels for thousands of hires across US, Canada, Mexico, Brazil, and beyond. Through systematic override management and stakeholder communication, you'll ensure optimal marketing allocation while building toward automated decisioning – to help scale up your impact. Your daily work—monitoring marketing pacing, analyzing site performance across multiple data sources, and proactively optimizing channel mix and spend efficiency—directly translates to hiring outcomes at scale. You influence leadership decisioning and directly support organizational goals Your insights shape executive strategy. You'll produce WBR presentations that showcase risk sites and marketing performance for senior leadership, maintain alignment with business managers and global risk teams on hiring challenges, and implement data-driven adjustments…