Senior Manager, Applied Science, Prime Video Advertising

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 Videos 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 Videos rapidly growing advertising business across video-on-demand (VOD) live streaming and display adsdelivering 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 Videos advertising 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 worlds 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.

- 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



- 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 for more information. If the country/region youre applying in isnt 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 NY New York - 240600.00 - 325500.00 USD annually
USA VA Arlington - 218800.00 - 295900.00 USD annually
USA WA SEATTLE - 218800.00 - 295900.00 USD annually