🛠 Tech Stack

💼 About This Role

You'll lead conversational analytics for an agentic AI platform serving global brands. You'll analyze resolution quality and failure patterns to drive AI optimization. This role offers exposure to cutting-edge GenAI tools and enterprise-scale customer experience.

🎯 What You'll Do

• Lead conversation-level analytics across AI and human interactions.
• Analyze resolution quality, looping behavior, and escalation effectiveness.
• Identify recurring patterns to reduce customer friction and repeat contacts.
• Own DSAT root-cause analysis linking dissatisfaction to conversation issues.

📋 Requirements

• 6–10+ years of experience in analytics or CX analytics roles
• Strong experience analyzing conversational or interaction-level data
• Hands-on SQL and Python for data exploration and analysis
• Experience using LLMs or Gen-AI tools for analysis and insight generation

✨ Nice to Have

• Ability to create dashboards or visualizations
• Enterprise-scale customer experience background

🎁 Benefits & Perks

• 🤖 Agentic AI platform
• 🌍 Remote work
• 🏢 Global brands exposure

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Hiring manager interview· 45 min
3. 3Technical assessment· 60 min
4. 4Final round with leadership· 45 min