Come join our journey to reinvent Alexa Shopping experiences with Alexa+. Alexa Shopping team is looking to hire a Senior Applied Science Manager. You will define and implement science strategies to scale our architecture to launch new shopping features across all Alexa end points and expand to WW locales. You will lead teams comprised of applied scientists, data scientists, linguists and SDEs that are foundational to Alexa Shopping CX quality. You will have the opportunity to invent and apply state-of-the-art Gen AI and Agentic AI solutions, collaborate deeply with Alexa’s science teams to define and influence the architecture for the next iteration of Shopping CXs integrated with Alexa+ CXs. This role will require you to present regularly to senior leadership, providing opportunities to gain their unique insight, and advocate for science and engineering investments. This is a fun, high energy role that will provide opportunities for growth for even the most seasoned leader.
Key job responsibilities
- Lead and manage a team of applied, research and data scientists, language engineers and SDEs for building Alexa Shopping experiences
- Collaborate with Alexa and Shopping teams to define and implement the best science strategies to launch and improve Shopping experiences.
- Own top of the funnel quality Shopping CX quality metrics that are foundational to delivering a delightful Alexa Shopping CX to customers.
- Identify and prioritize research opportunities that have the potential to significantly impact CX and Developer experience.
- Rapidly experiment and drive productization to deliver customer impact
- Mentor and guide team members to achieve their career goals and objectives.
About the team
The Alexa Shopping team owns the Shopping CXs that customers experience on all Alexa devices (including devices with and without screens, Alexa App, Fire TV etc.). With Gen AI and LLMs we are are reinventing the product to be a more voice + touch friendly experience that helps customers across all product categories and the entire shopping lifecycle (upper funnel discovery, search, buy, reorder, track orders, post-purchase support etc.).- Masters in Computer Science with 10+ years experience in AI, ML, Natural Language Processing, or a related field.
- Proven track record at managing complex, large scale customer experience systems
- Expert knowledge of machine learning algorithms and techniques.
- Proven track record of leading and managing science teams that deliver large impact.
- Excellent communication and interpersonal skills.
- Ability to work in a fast-paced, collaborative environment- Ph.D. in Computer Science (CS), Artificial Intelligence (AI), Machine Learning(ML)
- Experience in building highly scaled applications using Large Language Models (LLMs)
- Publication record at major conferences that shows breadth and depth
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.
