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Alphabet · Mountain View, CA

Analytical Lead, YouTube Product Partnerships

Mountain View, CA, USA +1 moreManager or lead

Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.

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Job description

info_outline About the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. The YouTube Business Go-To-Market team is responsible for driving all go-to-market functions for YouTube, including strategy and business operations, analytics and data science, partnership enablement, and product activation.

The team shapes go-to-market priorities to accelerate growth and resource the business accordingly, enhancing skills and capabilities to support execution of business priorities, driving efficiency across business operations, and building excellent infrastructure and tooling. As an Analytical Lead, you will operate at the intersection of product-driven distribution strategy, complex agreement economics, and large-scale subscription data systems.

You will act as a trusted business consultant to partner-facing business development leads, translating strategic distribution and subscription growth questions into structured analytical models, diagnosing subscriber and active user trends, and architecting governed data layers to power operational dashboards and business reviews.

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