Amazon Software Development Manager - Sponsored Products 

United States, New York, New York 

60453449

As a Software Development Manager, you will assemble and lead a team of engineers to solve challenging technical and business problems. You will be pioneering within a multi-dimensional optimization space which requires you to balance the interests of advertisers, shoppers, and Amazon. Innovation is a key area of focus for you because you will not be applying technology to improve the product -- technology IS the product. You will drive technical strategy and architecture at both the infrastructure and application tiers. Your experience in leadership and coaching will help you grow the individuals within your team and foster a transparent, collaborative development environment.In this role, you will own the Sponsored Products Search Relevance that identifying the relevant ads to surface to customers when they search for products on Amazon. You will own the serving infrastructure that support millions of internet users and handle billions of queries per day, all delivered in milliseconds. You will collaborate with applied/NLP scientists and principal engineers within the team and across disciplines as part of your daily job. You will design and build large scale and low latency infrastructure to serve Amazon customers based on deep-learning and other advanced machine learning approaches.You are:
- Highly analytical and data-driven: You solve problems in ways that are backed up with data. You focus on driving processes, tools, and statistical methods which support rational decision-making.
- Technically fearless: You are not satisfied by performing 'as expected' and push the limits past conventional boundaries. Your dial goes to '11'.
Key job responsibilities
You will:- Lead beyond your team: You will be a key part of growing community of engineering leaders who support their teams and contribute to the overall growth of our product development organization. You will share your best practices and technical acumen in order to drive technology decisions across our organization.
New York, NY, USA

- experiences with online model inference infra and LLM optimization