Shape the future of advertising in the AI era by leading performance initiatives for AI Agents within YouTube. This role is ideal for individuals passionate about sales, knowledgeable about online media, and dedicated to maximizing customer success through innovative solutions. You will act as a trusted advisor, leveraging your expertise to drive extraordinary outcomes for both Google and its customers, building strong relationships and translating business needs into powerful, goal-achieving solutions.

Google's gTech organization is instrumental in bringing its world-changing products to life. Our global teams of trusted advisors combine technical prowess, deep product knowledge, and a nuanced understanding of customer challenges. We craft bespoke solutions and scalable tools, ensuring customers harness the full potential of Google products.

Provide strategic thought leadership for the AI Agent's business domain, focusing on planning, objective setting, and KPI development. Act as a key advisor, offering insights and recommendations to enhance YouTube's creator support experience.

Develop and implement advanced analytical reporting and forecasting models to predict AI containment rates, user satisfaction, and the impact of AI launches on human support queues. Drive improvements in critical AI-led user journeys and conversational design.

Define business requirements for new LLM-based metrics and data tables, ensuring rigorous validation and alignment with overarching business objectives. Collaborate effectively with business leaders, AI PSMs, and other cross-functional teams to translate AI capabilities into tangible business outcomes.

A Bachelor's degree or equivalent practical experience is required, alongside a minimum of 5 years in a technical project management or customer-facing role. A Master’s degree in a relevant field such as Business, Statistics, Mathematics, Economics, Engineering, or Applied Science is preferred.

Demonstrated experience of 5 years in managing projects, coupled with expertise in analytics, software coding, or customer-side web technologies. Proficiency in data analysis and modeling for AI/ML products, including forecasting and predictive modeling, is essential.

Experience developing KPIs and measurement frameworks for Large Language Models (LLMs) or other generative AI products is highly valued. Familiarity with experimental design (A/B testing) for conversational AI or user-facing ML products, along with excellent communication and presentation skills to translate complex data into actionable insights, are crucial for success in this role.