Amazon.com Services LLC

Technology

Sr.Manager,AppliedScience,PrimeVideoPersonalization&Discovery

Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Manager, Applied Science, Prime Video Personalization & Discovery at Amazon.com Services LLC. Skills: Personalization, Discovery, AI/ML, Generative AI, Search. Optimizing the complete customer experience across touch points throughout customers’ discovery journey, including building AI and optimization solutions, working with business, product, and engineering teams to deliver the optimal balance of customer delight and business outcomes. Responsibilities include direct management of senior ”

What You'll Achieve.

Drive massive customer experience improvements, and achieving critical business KPIs. Deliver the optimal balance of customer delight and business outcomes.

Industry & Context.

Technology
Problems you'll solve

optimizing the complete customer experience; building AI and optimization solutions; deliver the optimal balance of customer delight and business outcomes; developing and maintaining experimentation and production services; owning ML and engineering excellence quality bar; reimagine the next-generation search experience; design of our ML stack; ensuring the quality of our models; discover the true requirements underlying feature requests; recommend alternative technical and business approaches; lead science efforts to meet timelines with optimal solutions

Eligibility Requirements

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.

What They're Looking For.

Must Have

M.S. in Computer Science, Machine Learning, or a related field. 10+ years experience in recommendation, search, natural language processing, machine learning, or a related field. Expertise in large language models applications or demonstrated ability to develop this expertise quickly. 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. 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. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet timelines with optimal solutions.

Nice to Have

Ph.D. in Computer Science, Machine Learning, or a related field. Work with academic partners to support our in-house talent with direct access to research and mentoring. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.

What You'll Do.

Optimizing the complete customer experience across touch points throughout customers’ discovery journey, including building AI and optimization solutions, working with business, product, and engineering teams to deliver the optimal balance of customer delight and business outcomes.

Responsibilities include direct management of senior engineers and scientists, setting vision and long-range technical strategy, product definition, roadmap planning, driving cross-functional execution, developing and maintaining experimentation and production services, owning ML and engineering excellence quality bar, and customer and stakeholder communication.

Hiring top-notch engineers and scientists will be a key focus.

How You'll Work.

Team & Collaboration

Working with the business, product, engineering teams to deliver the optimal balance of customer delight and business outcomes. Driving cross-functional execution. Work with academic partners to support our in-house talent with direct access to research and mentoring.

Communication Scope

Excellent written and verbal technical communication; present complex technical information in a clear and concise manner to a variety of audience; Exceptional customer relationship skills

Process & Methodology

setting vision and long-range technical strategy, product definition, roadmap planning, driving cross-functional execution, project delivery for large, cross-functional projects with evolving requirements, Ability to take a project from requirements gathering and design to actual product launch

Full Job Description

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Key job responsibilities As the Sr. Manager, Applied Science in the Prime Video Personalization and Discovery organization, you will be responsible for optimizing the complete customer experience, across the touch points throughout customers’ discovery journey. This includes building AI and optimization solutions, working with the business, product, engineering teams to deliver the optimal balance of customer delight and business outcomes. Responsibilities include direct management of senior engineers and scientists, setting vision and long-range technical strategy, product definition, roadmap planning, driving cross-functional execution, developing and maintaining experimentation and production services, owning ML and engineering excellence quality bar, and customer and stakeholder communication. Additionally, as our organization is growing, hiring top-notch engineers and scientists will be a key focus. About the team Prime Video Personalization and Discovery (PVPD) is dedicated to creating a highly personalized content discovery experience that not only delights our customers but also drives both short-and long-term business goals. Our scope includes personalized recommendations, search, marketing, and the advanced machine learning technology and infrastructure that underpins these experiences. Our mission is to automate and enhan

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