Principal Product Manager, Revenue Growth & Monetization

102 Yahoo Inc.; United States; Hybrid; USD 150,000 - 327,000; Full time

Benefits offered by this job

Flexible hybrid work options

Job summary

Yahoo Media Group is seeking a Principal Product Manager for Revenue Growth & Monetization. You will own a roadmap to maximize revenue yield across Yahoo Finance and Yahoo Sports, focusing on advertising, partnerships, and new monetization experiences, with AI-enabled workflows.

You will collaborate with cross-functional teams to drive data-backed optimizations, experiment-driven decisions, and autonomous, high-impact delivery in a flexible hybrid environment.

Qualifications

• 5+ years of product management experience in digital media, advertising tech, monetization, or revenue growth.
• Experience developing and executing product initiatives that drive measurable revenue growth across web/mobile.
• Strong understanding of programmatic advertising, ad serving, inventory management, and yield optimization.
• Experience using analytics and experimentation platforms to translate insights into product improvements.

Responsibilities

• Own and drive a product roadmap for revenue yield across Yahoo Finance and Yahoo Sports.
• Balance advertising, partnerships, and monetization to unlock new revenue opportunities.
• Lead programmatic optimization, ad placements, and onsite monetization frameworks.
• Collaborate with engineering, design, analytics, sales, and business development to deliver measurable revenue impact.

Skills

Data-driven

Analytical thinking

Cross-functional collaboration

Strategic thinking

Autonomy

Communication

Tools

AI tools

Job description

Yahoo Media Group is seeking a Principal Product Manager for Revenue Growth & Monetization. You will own a roadmap to maximize revenue yield across Yahoo Finance and Yahoo Sports, focusing on advertising, partnerships, and new monetization experiences, with AI-enabled workflows.

You will collaborate with cross-functional teams to drive data-backed optimizations, experiment-driven decisions, and autonomous, high-impact delivery in a flexible hybrid environment.