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Head of Payment Operations, YouTube

Google · San Bruno, CA
Full-timeGeneralLead$174,000–$253,000/yr
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About the Head Payment Operation Youtube role

Head Payment Operation Youtube positions focus on delivering results in their domain. This page aggregates open Head Payment Operation Youtube roles and what employers typically expect.

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; New York, NY, USA. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 10 years of experience in a technical project management or a customer-facing role. 8 years of experience in a strategy and operations, or consulting role. 3 years of experience in people management. Preferred qualifications: Demonstrated experience in digital media or streaming, with deep understanding of complex content licensing, royalty payouts, or revenue share structures. Strong background in finance, analytics, and modeling, with ability to interpret complex commercial terms to support business development and partners. Attention-to-detail and passion for operational excellence, implementing controls to preserve payment accuracy and prevent financial errors. Technical aptitude in data analysis, including SQL capability, data modeling, or building automation to solve process gaps. Strong change management capability, scaling crucial operations with AI. Exceptional stakeholder management skills, aligning Engineering, Product, Audit, and Business Development on complex tasks. About the job As the Head of Payment Operations, you will lead a specialized, verticalized team of payment operations specialists to manage the end-to-end partner payments life-cycle for YouTube’s most valuable and complex product portfolios. You will act as the critical operational bridge turning bespoke, multi-million dollar contracts into highly accurate partner payouts across Connected TV, Music, Living Room, Music + Premium (M+P) Resellers, and Shopping. In this role, you will promote "Payment Operations 2.0", driving a multi-year strategy to transition manual, reactive operations into an AI-powered, highly scalable payments hub that protects margins, prevents errors, and preserves financial integrity. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Direct, support, and develop a verticalized team of payment operations specialists, advocate for their career growth and technical capabilities. Oversee the accuracy and execution of YouTube's enterprise partner payment life-cycle, driving a target accuracy rate of >99.9% across Music, Connected TV, Living Room, M+P Resellers, and Shopping. Partner with product and engineering teams to define long-term roadmaps, migrating billions in annual recurring revenue from manual off-system processes to automated, on-system calculations. Co-ordinate cross-functionally with legal, audit, systems, and business development to identify, size, and resolve complex financial discrepancies and contract implementation gaps. Sponsor AI-driven initiatives to optimize contract ingestion, bulk rate updates, and proactive verification controls, and provide consultation around subscriptions revenue share logic and operationalization terms.

Salary estimate

$174,000 – $253,000/yr
Provided by the employer.

Skills for this role

SQLProject ManagementData AnalysisAutomation

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