Description

Help advertisers understand the true impact of their brand-building campaigns — delivering AI-driven measurement, performance reporting, and actionable insights that connect media investments with real customer outcomes across Amazon Ads. Your work will process billions of impressions and conversions daily, directly shaping how global advertisers optimize their brand spend.

As part of the Brand Measurement team, you'll define the technical strategy and delivery of solutions that empower advertisers to measure campaign effectiveness, identify optimization opportunities, and drive tangible business outcomes. You'll work backward from the customer to identify needs, build scalable event-driven architectures, and partner across engineering, data science, and design to ship robust, data-driven reporting products. If you're passionate about the intersection of generative AI and measurement at scale, this is your team.

Key job responsibilities
- Design and architect scalable, high-performance systems that leverage generative AI to deliver brand measurement insights at billions-of-events scale
- Develop and implement innovative machine learning algorithms to optimize advertising performance reporting and customer insights
- Define technical strategy and roadmap for AI-powered measurement solutions — working backward from advertiser needs to scalable architecture
- Collaborate with product managers, scientists, and design teams to create intelligent, data-driven advertising measurement experiences
- Lead technical design reviews and mentor engineering team members to raise the bar on quality and delivery
- Drive strategic technical decisions that shape the future of brand measurement platforms across Amazon Ads
- Build and operate event-driven architectures that process billions of impressions and conversions daily with high reliability

A day in the life
You'll spend your time designing and implementing sophisticated AI-driven systems that enhance how advertisers measure brand impact. You'll prototype innovative solutions with cross-functional partners, tackle complex technical challenges in measurement at scale, and drive adoption through close collaboration with internal and external stakeholders.