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Description

About Sponsored Products and Brands:

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

About Our Team:

The Sponsored Brands Impressions-based Offerings team is responsible for evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale, helping brands get discovered, acquire new customers and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility and share of voice. This includes building advertiser controls, shopper experiences, monetization strategies and optimization features. We succeed when (1) shoppers discover, engage and build affinity with brands and (2) brands can grow their business at scale with our advertising products.

About This Role:

The Software Development Manager in this position will lead a team focused on designing, developing and launching innovative ad experiences delivered to shoppers and brands. The team utilizes leading-edge technologies in generative AI to help shoppers discover products and brands. These solutions also empower advertisers to reach shoppers, using their own voice to explain how their products meet shoppers' needs.

The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. Key responsibilities include, but are not limited to:

* Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.

* Design, develop, and operate large-scale distributed systems.

* Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized advertiser and shopper experiences.

* Collaborate with applied scientists, product managers, and engineers to define and deliver customer-focused solutions.

* Write high-quality, maintainable code and participate in design and code reviews.

* Drive operational excellence through monitoring, automation, and continuous improvement.

\#GenAI

Key job responsibilities

Internal applications should have existing relevant experience in advertising technology to facilitate a quick start. We are not, at this time, considering candidates without this background.

Basic Qualifications

- 3+ years of engineering team management experience

- 7+ years of working directly within engineering teams experience

- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience

- 8+ years of leading the definition and development of multi tier web services experience

- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

- Experience partnering with product or program management teams

Preferred Qualifications

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy

- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

- Experience using managed ML/AI solutions

- Experience with generative model architectures.

- Deep understanding of large language models (LLMs) and prompt engineering.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.