Join Google's gTech team as a Performance Lead, AI Agent for YouTube, driving strategic growth and customer success in the dynamic marketing landscape. This role involves leveraging Google's advanced advertising solutions and AI technologies to empower businesses. You will act as a crucial advisor, identifying customer needs and crafting innovative solutions to achieve ambitious goals. Make a significant impact on millions of companies and billions of users by shaping the future of advertising in the AI era.

Google is committed to creating products that improve the world, and gTech plays a vital role in bringing these innovations to life. Our global teams provide expert technical guidance and product knowledge, understanding complex customer challenges. Whether delivering bespoke solutions or scalable tools, our aim is to ensure customers maximize the potential of Google's offerings.

Lead strategic planning, objective setting, and KPI development for the AI Agent's business domain, providing thought leadership. Act as a trusted advisor, offering strategic recommendations to enhance YouTube's creator support experience. Develop and implement robust 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 thorough validation and alignment with business objectives. Collaborate effectively with business leaders, AI PSMs, Global Vendor Operations, and BizTech teams, translating AI capabilities into actionable insights and driving the success of AI launches and pilots.

A Bachelor’s degree or equivalent practical experience is required. You should possess at least 5 years of experience 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.

Candidates should have 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. Experience in data analysis and modeling, particularly for AI/ML products including forecasting and predictive modeling, is essential. Developing KPIs and measurement frameworks for LLMs or other generative AI products is a key requirement. Familiarity with experimental design, specifically A/B testing within conversational AI or user-facing ML products, is highly beneficial. Excellent communication and presentation skills are necessary to translate complex data into clear, actionable insights.