Amazon

DESCRIPTION

About Our Organization:

Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in Gen-AI models/LLMs, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers.

About The Team

Our vision is to enhance the customer shopping experience on Amazon by leveraging Gen-AI models and personalization techniques. We strive to save customers valuable time by tailoring their discovery and exploration journey to their individual passions and hobbies. Our goal involves identifying personalization opportunities to develop and optimize customer experiences, thereby improving the overall search and discovery process across Amazon.

Job Description:

In this role, you will have an impact on Amazon's personalized shopping experience, and the satisfaction of being able to look back and say “I was a key contributor to something special from its earliest stages”.

The right person is an experienced Software Development Manager with proven experience leading a fast-moving engineering team. With a strong technical background, great communication (writing/verbal) skills, and solid people management skills to manage and develop a talented and experienced engineering team, as it is essential for the success in this role. If you are seeking to invent, build and improve customers' experiences that enable millions of customers worldwide. Relish the idea of solving problems and dealing with a degree of ambiguity that’s higher than most projects. Love to tackle algorithmic, Machine Learning, and large-scale engineering challenges, and have the freedom (and encouragement) to experiment and improve on behalf of our customers. Join the team! We guarantee that you’ll learn a lot, have fun and delight millions of customers.

Key job responsibilities

As part of this role, you will:

• Own the charter and vision of your team, and work with PM, UX, and Applied Science teams to build the best shopping experience for millions of Alexa Shopping customers.
• Hire and develop talents for your team.
• Work with stakeholders to build attractive roadmaps and deliver high quality products for customers.
• Exhibit excellent judgment on how to prioritize between focusing on existing versus new customers and between features, architectural improvements and operational excellence.
• Improving and operating mechanisms that drive higher velocity for features and key decisions.

BASIC QUALIFICATIONS

• Degree in Computer Science, Engineering, Math, or equivalent work experience.
• 10+ years of software development experience working in object-oriented design and coding in Java, C# or related technologies.
• Proven experience working with scalable and complex architecture.
• Minimum of 5+ years of experience managing software engineering teams.
• Proven leadership skills and teamwork skills.
• Experience guiding and mentoring software development engineers.
• Strong design, architecture, and problem-solving skills.
• Excellent written and verbal communication with the ability to present complex technical information in a clear and concise manner to a variety of technical and non-technical audiences.

PREFERRED QUALIFICATIONS

• Successfully taken a v1 product from inception to customer delivery.
• M.S. in Mathematics, Computer Science, Engineering, or related field.
• Proven experience in leading Applied Scientists, Data Scientists, and Machine Learning Engineers.
• Expertise in NLP (Natural Language Processing), IR (Information Retrieval), Search, and Recommendation systems.
• Experience in building big-data pipelines and solving customer problems using Machine Learning and Data Science.
• Strong product management and development skills.

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.