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Job Details
Posted date: Aug 25, 2025
There have been 239 jobs posted with the title of Sr. Manager all time at Amazon.There have been 239 Sr. Manager jobs posted in the last month.
Location: Austin, TX
Estimated salary: $268,600
Range: $196,900 - $340,300
Description
The Senior Manager, Applied Science owns the science mission for new GenAI products and bets across Training and Certification. You will lead a team of applied scientists 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 influencing and collaborating with partner teams, launching AI models into production, and building team mechanisms that will foster innovation and execution.You must have an established background in combining 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.
Key job responsibilities
Technical Leadership
- Lead complex research and development projects
- Partner closely with the T&C Product and Engineering leaders on the technical strategy and roadmap
- Evaluate emerging technologies and methodologies
- Make high-level architectural decisions
Team Management
- Lead, mentor and develop technical talent
- Set team goals and performance metrics
- Manage resource allocation and project prioritization
Research & Development
- Drive innovation in applied science areas
- Translate research into practical business solutions
- Author technical papers and patents
- Collaborate with academic and industry partners
About the team
AWS Training and Certification equips learners and organizations in more than 200 countries and territories with resources to build and validate in-demand cloud computing skills. In addition to classroom training, learners of all skill levels can access AWS Skill Builder’s 600+ online courses and lab experiences in up to 20 languages, as well as AWS Skill Builder: Individual and Team subscriptions with interactive learning like role-based games and AWS Certification exam preparation. To validate knowledge and expertise, AWS Training and Certification offers multiple industry-recognized certifications across foundational, associate, professional, and specialty categories.
Qualifications
Basic 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
Preferred qualifications- Ph.D. in Computer Science, Machine Learning, or a related field.
- 10+ years experience in recommendations, 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 with learning/ experiential offerings.
- 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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