Job Description
Transform how Amazon"s advertising services organization operates at scale - building autonomous agents, intelligent assistants, and AI-powered platforms that automate service delivery for millions of advertisers, from first-time sellers to global agencies. You"ll own the architectural direction for systems that span self-service support experiences to managed campaign operations, pioneering how AI changes the way advertisers get help and how operational issues get detected and resolved.
The Ad Services Engineering team builds and operates the systems that underpin the full spectrum of advertiser services. On the self-service side, we study Contact Us traffic patterns, experiment with Help content effectiveness, and optimize knowledge systems that power advertiser self-resolution. On the managed services side, we"re building autonomous agents that handle low- and medium-judgment tasks currently performed by humans - freeing up Amazonians to focus on higher-value, strategic work. Across both, we"re developing intelligent assistants and pioneering automated identification of product gaps from unstructured operational data - turning thousands of data points into actionable insights that drive product improvements. We"re investing heavily in applied science to fundamentally change how this all works at scale.
Key job responsibilities
- Own end-to-end design and implementation of complex products for Ad Services - including web applications, platform services, and AI agents - setting the architectural direction that shapes these systems long-term
- Lead cross-functional collaboration across Amazon"s advertising systems on the design and development of core Ads support functionality, influencing technical direction beyond your own team
- Drive the technical strategy for autonomous agent and intelligent assistant capabilities, translating business and scientific requirements into scalable production architectures
- Work with business teams and project managers to convert functional requirements into detailed technical specifications, bringing context for current and future technology choices
- Own operational excellence for your products - driving feature stability, performance, and flexibility while establishing engineering best practices across the team
- Coach and mentor engineers, lead design reviews, and raise the technical bar for the team and adjacent teams
Numbers & Facts
| Location | Seattle, WA |
| 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
- Architectural Servicesunmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Agentsunmatched
- Best Practicesunmatched
- Campaignsunmatched
- Coachingunmatched
- Cross-Functionalunmatched
- International Salesunmatched
- Internet Applicationunmatched
- Mentoringunmatched
- Operations Managementunmatched
- Process Improvementunmatched
- Project/Program Managementunmatched
- Service Deliveryunmatched
- Software Agentsunmatched
- Software Developmentunmatched
- Software Engineeringunmatched
- System Architectureunmatched
- System Operationsunmatched
- Team Playerunmatched
- Technical Strategyunmatched
- Unstructured Dataunmatched
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