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Job Details
Posted date: May 12, 2025
There have been 167 jobs posted with the title of Senior Manager all time at Amazon.There have been 167 Senior Manager jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $268,600
Range: $196,900 - $340,300
Description
About Amazon Music:Amazon Music is an immersive audio entertainment service that aims to deepen connections between fans, artists, and creators. Offering personalized music playlists, exclusive podcasts, concert livestreams, and artist merch, Amazon Music is innovating at the exciting intersection of music and culture. We offer Prime members access to all music in shuffle mode and top ad-free podcasts included with their membership. Customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio. Anyone can get started for free by downloading the Amazon Music app or via Alexa-enabled devices using the ad-supported tier. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
Key job responsibilities
About the Role:
The Senior Manager, Applied Science owns the science mission for new GenAI products and bets across Amazon Music. You will lead a sizable cross functional team of applied scientists and engineers to harness state of the art technologies across machine learning, natural language processing, LLM training, and application, to deliver on this mission. The right candidate will be an inventor at heart, provide science leadership, establish the right direction and vision, build team mechanisms, foster the spirit of collaboration and innovation within the org, and execute against an ambitious roadmap. They will need to be adept at recruiting, influencing and collaborating with partner teams, launching AI models into production, writing vision/direction documents, and building team mechanisms that will foster innovation and execution.
You must have an established background in combining cutting-edge science with practical needs of customer facing solutions and products. You must have strong technical skills, great communication skills, ability to mentor and lead scientists and engineers, while influencing partner teams to incorporate scientific approaches into product development. Ideally, this leader brings consumer-facing product experience, with a deep understanding of the end customer experience.
About the team
Our team works with cutting edge AI technologies to transform how customers discover and engage with audio. We are focused on building personalized and dynamic experiences that allow customers to use natural language to get the content they already love and discover new content to fall in love with. These experiences work seamlessly across our mobile apps, web player, voice-forward audio engagement products on mobile and Amazon Echo devices, in-car integrations and more. Amazon Music is available in countries around the world, and our applications support our mission of delivering music, podcasts and audiobooks to customers in new and exciting ways that enhance their day-to-day lives. Everyone on our team has a meaningful impact on product features, new directions in customer discovery, listening and engagement. Come join us as we make history by launching exciting new projects in the coming year.
Qualifications
* M.S. in Computer Science, Machine Learning, or a related field.* 10+ years experience in natural language processing, machine learning, recommendation, search, or a related field.
* Proven track record of leading and managing science and engineering teams in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers.
* Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch, customer validation and scaling.
* Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead combined science and engineering efforts to meet timelines with optimal solutions.
Extended Qualifications
* Ph.D. in Computer Science, Machine Learning, or a related field.* 15+ years experience in recommendation, search, natural language processing, machine learning, or a related field.
* Demonstrated ability to push the envelope in at least one machine learning domain (e.g. deep learning, NLP, reinforcement learning)
* Expertise in large language models or demonstrated ability to develop this expertise quickly.
* Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.
* Expertise in end-consumer AI experiences, ideally from the entertainment industry.
* Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
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 $196,900/year in our lowest geographic market up to $340,300/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.
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