Senior Manager, Applied Science, Prime Video Advertising

Amazon; New York (NY); On-site; USD 241,000 - 326,000; Full time

Benefits offered by this job

Health insurance

Restricted Stock Units (RSUs)

Sign-on bonus

Job summary

Amazon is seeking a Senior Manager, Applied Science to lead a team of scientists and engineers building machine learning and AI solutions for Prime Video advertising in New York. You will own the science strategy, manage senior leaders, and drive large-scale initiatives that influence revenue and customer experience.

Collaborate with engineering, product, and business teams to translate scientific capabilities into measurable business impact, with a 3-5 year vision and a path toward $10B in

Qualifications

• PhD in Computer Science, Computer Engineering, Machine Learning, Statistics, Operations Research, or related quantitative field.
• Experience as a science manager, with demonstrated experience managing other managers or leading science teams through senior leaders.
• Extensive track record of solving complex business problems with machine learning, deep learning, and ML engineering at scale.
• Proven ability to hire, develop, and manage a high-performing applied science organization, including growing future science leaders.
• Experience delivering a scientific vision with a path to execution, including managing strategic research projects spanning multiple years.
• Strong technical depth in machine learning with ability to evaluate and guide work across optimization, causal inference, NLP/generative AI, and recommendation systems.
• Experience driving large-scale scientific efforts and making trade-offs between opportunity, resources, and business impact.

Responsibilities

• Lead a team of scientists and engineers delivering ML/AI solutions impacting Prime Video ads.
• Set a 3-5 year scientific vision and develop senior leaders within the org.
• Collaborate with engineering, product, and business teams to translate science into business impact.
• Drive large-scale ML initiatives aimed at significant revenue growth.

Skills

Science leadership

ML at scale

Causal inference

NLP / Generative AI

Recommendation systems

Strategic communication

Team building

Education

PhD in a quantitative field

Job description

Job ID: 10416696 | Amazon.com Services LLC

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.

Are you interested in shaping the future of entertainment and advertising? Prime Video's technology teams are creating best-in-class digital video experiences, and our Advertising Product & Technology organization is at the forefront of revolutionizing the streaming advertising landscape.

The Prime Video Advertising team delivers ad tech solutions that power Prime Video's rapidly growing advertising business across video-on-demand (VOD), live streaming, and display ads - delivering value to both advertisers and viewers worldwide. We focus on critical areas including ad delivery, machine learning-driven optimization, experimentation, audience measurement, and generative AI-powered ad creative solutions.

We are seeking a Senior Manager, Applied Science to lead a team of scientists and engineers building machine learning and AI solutions that directly impact Prime Video's advertising business. In this role, you will own the science strategy and execution for key workstreams including:

• Ad Load Optimization - Balancing advertising revenue with viewer engagement through sophisticated ML models that determine optimal ad frequency, placement, and duration
• Yield Optimization - Maximizing advertising revenue through intelligent allocation, pricing, and forecasting models
• Experimentation & Metrics - Designing and scaling experimentation frameworks and causal inference methods to measure the impact of advertising decisions on both business outcomes and customer experience
• Ad Creative Generation & Augmentation - Leveraging generative AI to create, personalize, and enhance ad creatives at scale

As a leader of leaders, you will set the 3-5 year scientific vision for your organization, build and develop a high-performing team of senior scientists and managers, and drive large-scale ML/AI initiatives that inform strategic decisions for one of the world's largest streaming advertising platforms. You will collaborate closely with engineering, product, and business teams to translate complex scientific capabilities into measurable business impact during a period of rapid growth with a path to $10B in advertising revenue.

This role offers the unique opportunity to shape the science strategy for a new and fast-growing business, working at the intersection of machine learning, generative AI, causal inference, and advertising technology at Internet scale.

Basic Qualifications

• PhD in Computer Science, Computer Engineering, Machine Learning, Statistics, Operations Research, or a related quantitative field
• Experience as a science manager, with demonstrated experience managing other managers or leading science teams through senior leaders
• Extensive track record of solving complex business problems with machine learning, deep learning, and ML engineering at scale
• Proven ability to hire, develop, and manage a high-performing applied science organization, including growing future science leaders
• Experience delivering a scientific vision with a path to execution, including managing strategic research projects spanning multiple years
• Strong technical depth in machine learning with the ability to evaluate and guide work across optimization, causal inference, NLP/generative AI, and recommendation systems
• Experience driving large-scale scientific efforts and making trade-offs between opportunity, resources, and business impact

Preferred Qualifications

• Experience in advertising technology, ad marketplaces, or revenue optimization domains
• Experience building and deploying large-scale machine learning and AI solutions at Internet scale, particularly in real-time bidding, auction optimization, or content personalization
• Experience with generative AI / large language models applied to creative generation, content augmentation, or personalization
• Track record of managing hybrid science/engineering teams and driving end-to-end ML systems from research to production
• Experience designing and scaling experimentation platforms or causal inference frameworks
• Demonstrated ability to drive 3-5 year strategic initiatives and provide critical inputs into organizational planning (OP1/OP2)
• Active engagement with the external scientific community (publications in ACM, IEEE, NeurIPS, ICML, KDD, or similar venues)
• Proven ability to communicate rigorous scientific concepts and trade-offs to senior leadership and cross-functional stakeholders through verbal and written narratives
• Ability to manage multiple priorities and create a sense of urgency in a fast-paced, high-growth environment
• Experience influencing technical roadmaps and goals across multiple organizations

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

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