Amazon Manager eXperience (AMX) Science Generative AI Engineering team combines the talents of science and engineering to develop and deliver solutions that measurably improve the lives, wellbeing, and value of work for Amazonians. We own a suite of products built on conversational and Generative AI technologies. These products enhance employee productivity by streamlining access to Amazon policy documents and providing specialized assistance in domains such as talent management, compensation, writing, and understanding Amazon culture. Robust and user friendly software solutions, and data security and privacy are our top concerns. As a Software Development Manager (SDM), you will lead your team of SDEs and collaborate with economists, academic scholars, machine learning scientists and other SDEs across the company to develop, test, and deploy services that implement a wide range of machine learning models and utilize Gen AI services. A successful candidate will have a passion for innovation, interest in latest technology, and excitement about working in a high-impact domain. We are looking for a Software Development Manager who is customer obsessed, and thrives in a fast-paced environment that requires strong technical and business judgment, solid communication and project management skills. You know how to help engineers navigate priorities and communicate clear expectations with customers. You should be knowledgeable about the architecture of distributed systems and software development life cycle. Due to the interdisciplinary nature and breadth of the areas of interest, the ideal candidate will coordinate across many internal and external teams, and provide visibility to the senior leaders of the company with their strong written and oral communication skills. We need individuals with demonstrated ability to learn quickly, think big, execute both strategically and tactically, and motivate and mentor their team to deliver business values to our customers on time. They have creative and startup mindsets, and are always excited to take on new and ambiguous projects.
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Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed