Amazon
Sr. Manager, Applied Science, Sponsored Products and Brands
Amazon, Seattle, Washington, us, 98127
Sr. Manager, Applied Science, Sponsored Products and Brands
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Sr. Manager, Applied Science, Sponsored Products and Brands
role at
Amazon
1 week ago – Be among the first 25 applicants
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About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re‑imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re‑inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you’re energized by solving complex challenges and pushing the boundaries of what’s possible with AI, join us in shaping the future of advertising.
About Our Team The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third‑party sites where shoppers search and discover products. We use industry‑leading machine learning, high‑scale low‑latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI‑first approach to product, engineering, and science based solutions.
Responsibilities
Lead science and engineering needs across ad systems and models that power sponsored products ads for off‑site 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 off‑site
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.
Basic Qualifications
10+ years of building large‑scale machine learning and AI solutions at Internet scale
Master’s degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
Experience building large‑scale machine learning and AI solutions at Internet scale
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
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
Preferred Qualifications
10+ years of practical work applying ML to solve complex problems for large‑scale applications
5+ years of hands‑on work in big data, machine learning, and predictive modeling experience
5+ years of people management experience
PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
Experience working with big data, machine learning, and predictive modeling
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, etc.
Experience with Java, C++, or other programming languages, as well as with R, MATLAB, Python, or an equivalent scripting language
Equal Opportunity Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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 judgement, 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.
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.
Company – Amazon Advertising LLC
Job ID: A3116078
#J-18808-Ljbffr
Sr. Manager, Applied Science, Sponsored Products and Brands
role at
Amazon
1 week ago – Be among the first 25 applicants
Get AI‑powered advice on this job and more exclusive features.
About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re‑imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re‑inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you’re energized by solving complex challenges and pushing the boundaries of what’s possible with AI, join us in shaping the future of advertising.
About Our Team The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third‑party sites where shoppers search and discover products. We use industry‑leading machine learning, high‑scale low‑latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI‑first approach to product, engineering, and science based solutions.
Responsibilities
Lead science and engineering needs across ad systems and models that power sponsored products ads for off‑site 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 off‑site
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.
Basic Qualifications
10+ years of building large‑scale machine learning and AI solutions at Internet scale
Master’s degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
Experience building large‑scale machine learning and AI solutions at Internet scale
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
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
Preferred Qualifications
10+ years of practical work applying ML to solve complex problems for large‑scale applications
5+ years of hands‑on work in big data, machine learning, and predictive modeling experience
5+ years of people management experience
PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
Experience working with big data, machine learning, and predictive modeling
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, etc.
Experience with Java, C++, or other programming languages, as well as with R, MATLAB, Python, or an equivalent scripting language
Equal Opportunity Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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 judgement, 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.
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.
Company – Amazon Advertising LLC
Job ID: A3116078
#J-18808-Ljbffr