Senior Manager, Applied Science, Prime Video Advertising

Amazon • Arlington, VA

1d • Onsite

About The Position

Prime Video is a leading entertainment platform offering a wide range of premium content across various devices. The Advertising Product & Technology organization within Prime Video is focused on innovating the streaming advertising landscape. The Prime Video Advertising team develops ad tech solutions for its growing advertising business, covering video-on-demand (VOD), live streaming, and display ads. Key areas of focus include ad delivery, ML-driven optimization, experimentation, audience measurement, and generative AI for ad creatives. This role involves leading a team of scientists and engineers to build ML and AI solutions that significantly impact Prime Video's advertising business. The position requires owning the science strategy and execution for critical workstreams such as Ad Load Optimization, Yield Optimization, Experimentation & Metrics, and Ad Creative Generation & Augmentation. The successful candidate will act as a leader of leaders, defining the scientific vision, building a high-performing team, and driving large-scale ML/AI initiatives for one of the world's largest streaming advertising platforms. Collaboration with engineering, product, and business teams is essential to translate scientific capabilities into measurable business impact in a rapidly growing environment.

Requirements

• 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
• 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

Nice To Haves

• 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

Responsibilities

• Lead a team of scientists and engineers building machine learning and AI solutions for Prime Video's advertising business.
• Own the science strategy and execution for key workstreams including Ad Load Optimization, Yield Optimization, Experimentation & Metrics, and Ad Creative Generation & Augmentation.
• Set the 3-5 year scientific vision for the organization.
• Build and develop a high-performing team of senior scientists and managers.
• Drive large-scale ML/AI initiatives that inform strategic decisions for the streaming advertising platform.
• Collaborate with engineering, product, and business teams to translate complex scientific capabilities into measurable business impact.
• Manage strategic research projects spanning multiple years.
• Evaluate and guide work across optimization, causal inference, NLP/generative AI, and recommendation systems.
• Drive large-scale scientific efforts and make trade-offs between opportunity, resources, and business impact.
• Manage hybrid science/engineering teams and drive end-to-end ML systems from research to production.
• Drive 3-5 year strategic initiatives and provide critical inputs into organizational planning.
• Communicate rigorous scientific concepts and trade-offs to senior leadership and cross-functional stakeholders.
• Manage multiple priorities and create a sense of urgency in a fast-paced, high-growth environment.
• Influence technical roadmaps and goals across multiple organizations.

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• 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
• Parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree