In this role, you will be a technologist working in a team that manages YouTube's largest partnerships, optimizing implementations. The YouTube Content Partner Engineering team works across YouTube's complex and highest priority partners in LATAM. The team's combination of technical skills and industry/business expertise enable us to engage across a number of technical service offerings with our portfolio of partners as well as work closely with Product and Engineering teams to incubate and mature scalable product solutions that ultimately help partners grow, operationalize, and protect their content and their business on our platform.
You will have the opportunity to lead projects and cross-functional efforts (e.g., product, engineering, business development, operations, marketing, etc.) and be an individual looking to solidify YouTube's strategic partnerships with the largest traditional partners and the successful new media partners that have grown large businesses almost exclusively on YouTube. You will manage technical engagements with some of the biggest media companies and be responsible for the ongoing success and satisfaction of a portfolio of partners. You will also be instrumental in improving existing operations, commercializing new solutions, bridging product gaps, automating partner operations, and taking new initiatives from conception to deployment.
Responsibilities: • Contribute to the success of technical partnerships across various content verticals. Work with Business Development teams as the technical expert helping to discuss new agreements and empower partners to find success on YouTube. • Incubate and develop new and innovative product solutions to empower our content partners, solve technical challenges, drive internal efficiencies, and deliver impact across the business. • Identify, drive, and optimize the flow of existing and new business opportunities by leveraging YouTube technologies through prototyping and innovation. • Perform implementation reviews, advocate for new product features and new internal tools, and ensure the prompt and proper resolution of technical challenges. • Consider AI use cases across the business and operations to further deliver impact, drive efficiencies, and reduce costs.