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Performance Lead, AI Agent, YouTube
Google
Bengaluru, IND
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
Strategic planningKPI development and measurement frameworksData analysisForecasting and predictive modelingAI/ML productsLarge Language Models
Role Overview
Lead performance strategy for YouTube’s AI Agent business domain.
Serve as a trusted advisor for the creator support experience and provide strategic recommendations.
Key Skills for This Role
Strategic planningKPI development and measurement frameworksData analysisForecasting and predictive modelingAI/ML productsLarge Language Models
Full Job Posting
Role overview
Lead performance strategy for YouTube’s AI Agent business domain.
Serve as a trusted advisor for the creator support experience and provide strategic recommendations.
Minimum qualifications
- Bachelor’s degree or equivalent practical experience.
- Five years of experience in a technical project management or customer-facing role.
Preferred qualifications
- Master’s degree in business, statistics, mathematics, economics, engineering, applied science, or a related field.
- Five years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
- Experience with data analysis and modeling for AI/ML products, including forecasting and predictive modeling.
- Experience developing KPIs and measurement frameworks for LLMs or other generative AI products.
- Familiarity with experimental design, including A/B testing, for conversational AI or user-facing ML products.
- Excellent communication and presentation skills for translating complex data into actionable insights.
Responsibilities
- Provide thought leadership in strategic planning, objective setting, KPI development, and overall performance for the AI Agent business domain.
- Advise stakeholders and provide strategic recommendations to optimize YouTube’s creator support experience.
- Develop analytical reporting solutions and forecasting models for AI containment rates, user satisfaction, and human support queue impact.
- Drive improvements to AI-led user journeys and conversational design.
- Set business requirements for LLM-based metrics and data tables and ensure validation against business needs.
- Partner with business leaders, AI PSMs, Global Vendor Operations, and BizTech on AI capability launches and pilots.
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