Highlights
In this role, you will develop products primarily using Java for backend and React/JavaScript for frontend, leveraging persistence technologies like DynamoDB, Mongo (CloudDB), Elasticsearch, and suite of AWS products for ML pipelining (Comprehend, SageMaker, and S3/EMR/Glue/Quicksight for Python-powered data pipelines and analytics) for big data analysis. If you are a self-starter, enjoy designing large scale distributed and orchestration systems, and are intrigued by ambiguous problems, this is a unique opportunity to build a new initiative from scratch with some of the best full-stack engineers at Amazon.
Numbers & Facts
| Location | Palo Alto, CA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
Are you interested in building a green field product opportunity within Amazon Advertising? Do you want to have direct and immediate impact on millions of customers every day? If you are a self-starter, enjoy designing large scale distributed and orchestration systems, and are intrigued by ambiguous problems, this is a unique opportunity to build a new initiative from scratch with some of the best full-stack engineers at Amazon. We pioneer the usage of AI-driven full-stack technologies at Amazon scale. Join today and you will transform how advertisers run performance campaigns on their 1P Data.
Key job responsibilities
In this role, you will develop products primarily using Java for backend and React/JavaScript for frontend, leveraging persistence technologies like DynamoDB, Mongo (CloudDB), Elasticsearch, and suite of AWS products for ML pipelining (Comprehend, SageMaker, and S3/EMR/Glue/Quicksight for Python-powered data pipelines and analytics) for big data analysis. As an AI-first engineering team, you are encouraged to pair program with the state-of-the-art models and tools such as Kiro and Cline. This is an opportunity to Think Big and create engaging experiences with real-world applications of Agentic AI to solve business problems that delight our customers.
You"ll have the flexibility to solve problems across frontend, backend, and machine learning applications, collaborating with diverse teams skilled in big data and engineering. This large initiative spans multiple existing and emerging engineering and product teams within the Advertising organization.
A day in the life
You are enthusiastic about helping in defining our products, shaping ambiguous business goals into working software solutions. You are comfortable taking initiative and working across teams in a relatively unstructured environment. You have well-honed, insightful architectural design instincts, and enjoy building simple and elegant systems that will scale to support millions of users. Passion for the customer and their experience with our products is a key requirement for you.
About the team
Our team is responsible for full-stack implementation and integration of new advertising products, which power the ad measurement of online and offline ad conversions. This is an opportunity to get in on the ground floor and help shape our advertising technologies, products and business. Our products enable advertisers to bring their first-party data into amazon eco system, helping advertisers adapt to new trends and consumer behaviors, ultimately ensuring their campaigns continue to resonate with the right audience.
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
Similar Job Searches
Research Manager Jobs in Palo Alto, CAScience Manager Jobs in Palo Alto, CAData Scientist Jobs in Palo Alto, CAResearch Director Jobs in Palo Alto, CAResearch Scientist Jobs in Palo Alto, CADirector Of Research Jobs in Palo Alto, CAComputer Scientist Jobs in Redwood City, CAComputer Scientist Jobs in Mountain View, CAComputer Scientist Jobs in Sunnyvale, CAComputer Scientist Jobs in Santa Clara, CA