Sr. Manager, Applied Science, Sponsored Products and Brands

Job Description

Locations

• United States, WA, Seattle, Seattle, WA, United States
• United States, VA, Arlington, Arlington, VA, United States
• United States, NY, New York, New York, NY, United States
• United States, CA, Palo Alto, Palo Alto, CA, United States

Salary

Salary not disclosed

Skills Required

• - 10+ years of building large-scale machine learning and AI solutions at Internet scale experienceintermediate
• - Experience building large-scale machine learning and AI solutions at Internet scaleintermediate
• - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectivesintermediate
• - Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career trackintermediate

Required Qualifications

• - 10+ years of building large-scale machine learning and AI solutions at Internet scale experience (experience, 10 years)
• - Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent) (degree in computer science)
• - Experience building large-scale machine learning and AI solutions at Internet scale (experience)
• - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives (experience)
• - Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track (experience)

Preferred Qualifications

• - 10+ years of practical work applying ML to solve complex problems for large-scale applications experience (experience, 10 years)
• - 5+ years of hands-on work in big data, machine learning and predictive modeling experience (experience, 5 years)
• - 5+ years of people management experience (experience, 5 years)
• - PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) (degree in computer science)
• - Experience in practical work applying ML to solve complex problems for large scale applications (experience)
• - Experience working with big data, machine learning and predictive modeling (experience)
• - Experience in people management (experience)
• - Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. (experience)
• - Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language (experience)
• Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
• 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. (experience)

Responsibilities

• Responsibilities:
• - Lead science and engineering needs across ad systems and models that power sponsored products ads for offsite shopping experiences
• - Surface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product-market fit
• - Scale ad product adoption across advertisers, agencies, and tool providers
• - Collaborate with product, science, and engineering teams across SPB and ads to make the right trade-off decisions to build, partner, or build together to scale shopping experiences offsite.
• Your contributions will be highly visible and instrumental in hitting goals carried by Amazon's leadership team (S-Team). A diverse group of stakeholders will rely on your vision and messaging, including advertisers, agencies, and internal ad sales and operations teams.

Documents

• Accommodations Information (web)
• https://www.aboutamazon.com/workplace/employee-benefits (web)

Application Instructions

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