Principal Product Mgr Tech - Amazon Advertising, Advertising

Amazon • New York, NY

1d

About The Position

We are seeking an experienced, customer-focused Principal Product Manager to
lead the development of innovative AI and ML-powered solutions in Advertising
FinTech (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 FinTech 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!

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.

Requirements

• Bachelor's degree
• 4+ years of end to end product delivery experience
• 8+ years of technical product or program management experience
• Experience with feature delivery and tradeoffs of a product
• Experience owning/driving roadmap strategy and definition
• Experience leading engineering discussions around technology decisions and strategy related to a product
• Experience technical product management

Nice To Haves

• Experience working directly with Engineers on product enhancements
• Experience in project management methodologies, business analysis, or process improvement
• Experience with and deep understanding of advertising technologies (i.e., ad server, DSP)

Responsibilities

• 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 integration, define ML product requirements, and evaluate model performance and business impact.
• Scalability Focus: Experience building ML solutions that process large-scale data and serve millions of users
• Cross-Functional Leadership: Excellent written and verbal communication skills, enabling them to effectively influence stakeholders, translate complex AI/ML concepts for non-technical audiences, and drive cross-functional collaboration between product, engineering, data science, and ML teams

Benefits

• 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: Mid Level