Principal Technical Program Manager, Ad Measurements Science

Amazon Advertising LLC•2h ago

United StatesOnsite$177K–$239.4KFull-timePrincipal Level7+ yrs exp

H-1B verified · 2310 LCAs

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Program ManagerTechnical Program Manager

Application deadline: Jul 1, 2026 The Ads Measurement Science team in the Measurement, Ad Tech
Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales
provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing
Computer Vision. As a Principal Technical Program Manager on the team, you will be at the forefront of innovation, driving program execution on some of the most high ambiguity, high impact initiatives within Ads. You will work across Product, Science
Engineering to drive AI initiatives spanning VP organizations, including 1) our Analyst Agent which will work alongside other ads agents to transform the performance reporting and insights experience for advertisers
2) our Ads Customer Journey Model
seeks to revolutionize our measurement, planning
optimization experiences through foundational customer journey understanding. You will own the planning, execution
delivery of large-scale technical programs that span multiple teams, product organizations
business stakeholders. You'll work at the intersection of advertising technology, machine learning
distributed systems to solve ambiguous problems that shape the future of digital advertising. Key job responsibilities - Own end-to-end program management for strategic advertising technology initiatives spanning multiple teams and organizations - Drive technical strategy and roadmap alignment across engineering, product, science
business teams - Lead cross-functional teams through complex technical challenges in areas such as ad serving, campaign management, measurement
optimization - Establish program governance, metrics
reporting mechanisms to ensure visibility and accountability at the VP level - Identify and mitigate technical and operational risks across large-scale distributed systems serving billions of ad requests daily - Partner with engineering leaders to influence architecture decisions and ensure scalability, reliability
performance - Build and maintain relationships with senior stakeholders across Amazon Ads, AWS
Retail organizations - Drive operational excellence through process improvements, automation
best practices - Mentor and develop other TPMs across the organization - Represent Amazon Ads technical programs in executive-level reviews and planning sessions A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments
develop statistical and ML models. The team is driven by business needs
requires collaboration with other Scientists, Engineers
Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication. Team video https://advertising.amazon.com/help/G4LNN5YWHP6SM9TJ About the team We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI
Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders
other scientists with expertise in the ads industry to build scalable modeling and software solutions.
7+ years of working directly with engineering teams experience - 7+ years of technical product or program management experience - 5+ years of software development experience - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience owning/driving roadmap strategy and definition
8+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
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
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
parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CO, Denver - 177,000.00 - 239,400.00 USD annually USA, NY, New York - 194,700.00 - 263,400.00 USD annually

Required skills

Machine LearningNatural Language ProcessingComputer VisionGenerative AICausal InferenceProgram ManagementSoftware Development