AmazonPrincipal Technical Program Manager, Ad Measurements Science
Amazon is hiring a Principal Technical Program Manager, Ad Measurements Science in New York, United States. It pays $177k-$239k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting mentions computer vision and NLP among its tools and skills.
- Level classes it as a lead role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
The Ads Measurement Science team in the Measurement, Ad Tech, and 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, and 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, and 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, and 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, and 2) our Ads Customer Journey Model, which seeks to revolutionize our measurement, planning, and optimization experiences through foundational customer journey understanding. You will own the planning, execution, and delivery of large-scale technical programs that span multiple teams, product organizations, and business stakeholders. You'll work at the intersection of advertising technology, machine learning, and 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, and business teams
- Lead cross-functional teams through complex technical challenges in areas such as ad serving, campaign management, measurement, and optimization
- Establish program governance, metrics, and 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, and performance
- Build and maintain relationships with senior stakeholders across Amazon Ads, AWS, and Retail organizations
- Drive operational excellence through process improvements, automation, and 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, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and 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, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry to build scalable modeling and software solutions.
Basic qualifications
- 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
Preferred qualifications
- 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, 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.
USA, CO, Denver - 177,000.00 - 239,400.00 USD annually
USA, NY, New York - 194,700.00 - 263,400.00 USD annually
How we rate this
Principal Technical Program Manager, Ad Measurements Science at Amazon rates 43 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: Computer vision and NLP. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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