Performance Lead AI Agent @ Google
placeBengaluru, Karnataka, India
attach_money $150,000
businessOn Site
scheduleFull Time
Posted 22 hours ago
Your Application Journey
Interview
Email Hiring Manager
******* @google.com
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Job Details
Overview
The Performance Lead AI Agent at Google drives data-driven decision-making to enhance the creator experience on YouTube. You will translate complex conversational and performance data into actionable insights, developing new measurement frameworks for AI operations and creating KPIs for generative AI products.
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in an analytical role in customer operations or for an AI/ML product.
- 5 years of experience manipulating datasets and conducting analyses using SQL and Python.
- Experience creating executive communications and presenting to non-technical audiences.
Preferred Qualifications
- Master’s degree in a relevant field such as Business, Statistics, or Engineering.
- Experience in data analysis and modeling for AI/ML products.
- Expertise in developing KPIs and measurement frameworks for LLMs or generative AI.
- Familiarity with experimental design (A/B testing) in conversational AI or user-facing ML products.
- Strong project management and communication skills.
Responsibilities
- Establish and manage core KPIs for the AI Agent including LLM-based metrics.
- Analyze performance and conversational data to identify optimization opportunities.
- Design and interpret A/B tests on prompts and conversational flows.
- Build forecasting models to evaluate new AI capabilities.
- Translate analytical findings into actionable insights for cross-functional teams.
Key skills/competency
- Data Analysis
- SQL
- Python
- Forecasting
- A/B Testing
- KPIs
- Executive Communication
- Predictive Modeling
- AI/ML
- Project Management
How to Get Hired at Google
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant AI and analytics experience.
- Research Google Culture: Understand YouTube and AI strategies.
- Prepare concrete examples: Demonstrate successful KPI development.
- Practice technical storytelling: Translate data insights clearly.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL and Python coding challenges.
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Practice A/B test analysis techniques.
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Study predictive modeling methods.
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Understand KPI and metric development.
Behavioral Questions
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Describe challenging data project experiences.
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Explain handling ambiguous project requirements.
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Discuss teamwork in cross-functional settings.
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Share examples of executive communication.
Frequently Asked Questions
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