Job Description
Application deadline: Sep 15, 2026
Build innovative solutions at petabyte scale that empower global advertisers to understand and act on their campaign performance - processing billions of ad impressions, clicks, and conversion events daily using event-driven architectures on AWS. Your work powers the reporting and insights advertisers rely on every day to grow their business on Amazon.
We deliver campaign reporting for all of Amazon Advertising, producing analytics and insights that drive advertiser decision-making worldwide. Our team within Sponsored Products & Brands (SPB) manages large-scale data systems that ingest, process, and deliver performance data across billions of daily transactions. You"ll build and optimize data pipelines and services using the latest AWS technologies, collaborate with scientists and product managers, and drive innovation in a fast-growing, collaborative environment with a broad mandate to experiment.
Key job responsibilities
- Design and build scalable systems that process over 50 billion events daily across petabyte-scale clusters for causal advertising measurement
- Develop and optimize causal measurement and modeling techniques - including rigorous scientific experiments and machine learning - to measure advertising effectiveness
- Architect and evolve event-driven architectures using AWS big data and ML technologies to stay ahead of rapidly growing scale
- Combine deterministic and modeled measurement approaches to deliver estimates that are fast, precise, and actionable for advertisers
- Drive technical strategy and lead architecture decisions that shape the future of causal measurement across all Amazon ad products
- Collaborate with world-class scientists and engineers to translate complex measurement challenges into scalable, production-grade solutions
- Set the engineering standard for operational excellence, system reliability, and quality at petabyte scale
About the team
This team builds the core causal measurement and modeling capabilities serving all of Amazon Ads. We work with diverse systems and languages, combining AWS services like EMR and DynamoDB with Spark and Scala. We also leverage generative AI tools to accelerate our development, testing, and deployment cycles.
Numbers & Facts
| Location | Boulder, CO |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
- Advertisingunmatched
- Amazon Web Services (AWS)unmatched
- Artificial Intelligence (AI)unmatched
- Big Dataunmatched
- Business Growthunmatched
- Campaignsunmatched
- Data Managementunmatched
- Data Scienceunmatched
- Electronic Medical Recordsunmatched
- Emerging Technologyunmatched
- Large-Scale Systemsunmatched
- Machine Learningunmatched
- Scala Programming Languageunmatched
- Scalable System Developmentunmatched
- Software Developmentunmatched
- Software Engineeringunmatched
- Systems Reliabilityunmatched
- Team Playerunmatched
- Technical Strategyunmatched
- Test Plan/Scheduleunmatched
- Website Conversionunmatched
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