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Principal Product Mgr Tech - Amazon Advertising, Advertising

Job in New York, New York County, New York, 10261, USA
Listing for: Amazon Jobs
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

We are seeking an experienced, customer-focused Principal Product Manager to lead the development of innovative AI and ML-powered solutions in Advertising Fin Tech (Billing and Payments) and Budgeting solutions. This role will play a pivotal part in helping advertisers operate via frictionless billing solutions and optimize their campaigns budgets across Amazon Ads using advanced artificial intelligence and machine learning capabilities. By delivering seamless Budgeting and Fin Tech solutions (Billing, Payments, Taxation) and actionable insights powered by ML models, our team empowers global advertisers to optimize their media investments.

If you're passionate about data-driven decision-making, AI/ML technologies, and developing solutions that impact millions of customers, this is the role for you!

Role Overview

As part of Advertising Billing and Budgeting team, you will define the strategy, roadmap, and delivery of technical solutions that leverage AI and machine learning to help advertisers focus on business effort vs operational load of billing and payments and maximize their budgets. You will collaborate closely with engineering, sales and marketing, and ML engineering teams to build robust, AI-driven billing and budgeting products and predictive insights capabilities.

Your responsibilities will include working backward from the customer to identify needs, partnering with engineering to build scalable event-driven architectures that process billions of impressions for billing and budgeting daily using ML pipelines, developing AI-powered budget optimization, and driving adoption through close collaboration with internal and external stakeholders.

Amazon is investing heavily in building a world class advertising business powered by best in class AI and ML technologies, and we are at the forefront of that explosive growth. We deliver services and tools to manage advertisers' billing, invoicing, financial automation, budgets, promotions, payments, and Billing UI Experience(AX) in real-time while being transparent and audit-able from the ground-up. We are highly motivated and collaborative with an entrepreneurial spirit and agile bias for action.

With a broad mandate to experiment and innovate with AI/ML solutions, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team with a relentless focus on the customer and AI/ML innovation, you've come to the right place.

Key

Product and Technical Challenges
  • Distributed, Event-Driven, and Scalable Architecture:
    Looking at advertising international expansion and business growth plans for next year, we expect this traffic to grow 10X in near future. Billing and Budgeting system should be easily scalable to manage exponential increase in traffic and extensible to support different business needs.
  • High Availability:
    Downtime of Billing and Budgeting system can cause a huge loss in revenue and loss of business opportunity for our advertisers. High Availability architecture is to make sure that the system is configured to handle different loads and different failures with minimal or no downtime.
  • Precision:
    Every click or impression needs to be counted, accounted, invoiced, and charged in near real-time, without any exception. It impacts both revenue and regulatory compliance. We need to build generic and extensible reconcile rs for any anomaly detection and raising an appropriate alarm.
Key job responsibilities

The ideal candidate will have a proven track record of delivering data-driven products at scale, with strong analytical and problem-solving skills. They will possess:

  • Data-Driven Decision Making:
    Strong analytical skills with experience leveraging AI/ML insights to drive product strategy and customer outcomes.
  • Technical Proficiency:
    Experience working with ML frameworks, data pipelines, and AI-powered analytics platforms; ability to collaborate effectively with data scientists and ML engineers.
  • AI Product Strategy:
    Demonstrated ability to identify opportunities for AI/ML…
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