AI Product Analyst Intern
Intern role at RevRag AI in Bengaluru: analyse production Voice AI and in-app AI agent conversations to find failures across the STT/TTS, LLM, retrieval, and telephony pipeline, track KPIs, run A/B tests, and build dashboards using SQL, Python, and BI tools for product, engineering, and business teams.
- Compensation
- Not disclosed
- Location
- Bengaluru
- Work setup
- Onsite
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- Students or recent graduates in Computer Science, Data Science, AI/ML, Analytics, Information Systems, or related fields
- Strong analytical and problem-solving skills
- Comfortable working with large datasets
- Basic SQL knowledge
- Understanding of product analytics
- Familiarity with dashboards (Metabase, Power BI, Tableau, Looker Studio, and similar)
- Curiosity about AI and large language models
- Strong communication skills and ability to work with cross-functional teams
Nice to have
- Python for data analysis
- Experience with AI or LLMs
- Understanding of speech technologies (ASR, STT, TTS)
- Knowledge of prompt engineering
- Experience with conversational AI
- Familiarity with product analytics tools such as Mixpanel, Amplitude, or PostHog
- Basic understanding of APIs and backend systems
Full description
About the role We are looking for an AI Product Analyst Intern who enjoys digging into data, understanding AI systems, and solving product problems. You will work closely with the Product, AI Engineering, and Business teams to analyse how our AI agents perform in production, identify where conversations or workflows break down, measure product health, and build dashboards that help teams make better decisions.
This role is intentionally broader than a standard product analyst: you become the health monitor for our AI platform, tracking everything from model quality (STT, TTS, SLMs, LLMs) and telephony reliability to product workflows and business KPIs, then turning those insights into actionable improvements for engineering and product teams. It is an ideal role for someone interested in Product Management, AI, Analytics, and Data.
What Youll Do
- Analyse production AI conversations across Voice AI and In-App AI Agents.
- Identify where users drop off or where AI responses fail.
- Investigate failures across the entire AI pipeline: Speech-to-Text, Text-to-Speech, voice-to-voice models, Small Language Models, LLM reasoning, retrieval and memory, the telephony pipeline, and Action Intelligence.
- Work with Product and AI teams to identify root causes of quality issues.
- Track product health metrics and recommend improvements.
- Build dashboards for Product, Business, and Engineering teams.
- Define and monitor KPIs across different AI systems.
- Analyse customer journeys and identify friction points.
- Measure conversation quality, latency, task completion, and automation success.
- Generate insights from production data to improve customer experience.
- Assist in A/B testing new AI models and product features.
- Document recurring issues and suggest long-term improvements.
Example Problems Youll Solve
- Why are users abandoning a conversation after 30 seconds
- Which STT model performs best across different accents
- Which TTS voices produce the highest engagement
- Why did an AI workflow fail to complete
- Which telephony providers have higher call failure rates
- Where are AI agents hallucinating or misunderstanding user intent
- Which product flows generate the highest drop-offs
- Which enterprise customers experience the most AI failures
- Which AI models should be replaced or fine-tuned
- What are the biggest contributors to latency across the AI pipeline
Dashboards Youll Build Youll design and own dashboards including:
- AI Quality and Product Health
- Voice Pipeline and Conversation Analytics