AI Product Analyst
Responsibilities
Qualifications & Requirements
Experience Level: Mid Level
Full Job Description
Yubi is seeking a skilled Conversational Analyst with 2-3 years of experience to join our team in Bengaluru/Bangalore, India. This role focuses on designing and improving chat and voice user experiences. You will leverage a deep understanding of user context and a commitment to quality assurance to create impactful conversational solutions. Your responsibilities will include identifying issues, testing conversational flows, and ensuring a smooth user journey prior to deployment.
This position offers exposure to cutting-edge technologies such as Large Language Models (LLMs), Bhasa Infrastructure, Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) systems.
Key Responsibilities
Context Analysis and Problem Solving
Understand user needs, identify issues in existing conversational flows, and propose enhancements to improve the overall user experience.
Testing and Validation
Rigorously test chat and voice user experiences for functionality, usability, and contextual accuracy before they are deployed to production.
Collaboration with Data Scientists
Work closely with data scientists to analyze conversational data, identify patterns, and improve conversational AI models and flows.
Conversation Flow Optimization
Analyze and refine conversational designs to ensure natural and seamless interactions for both chat and voice-based systems.
Data Analysis and Reporting
Use analytics tools to monitor and report on user behavior and feedback, offering actionable insights to improve conversation designs.
Learning and Development
Gradually build expertise in advanced conversational AI technologies, including LLMs, ASR, TTS, and the Bhasa infrastructure.
Requirements
Key Skills and Qualifications
- 2-3 years of experience working in conversational design, chatbot/voice assistant testing, or a related field.
- Strong understanding of chat and voice UX principles and best practices.
- Hands-on experience in testing conversational flows and troubleshooting user interaction issues.
- Analytical mindset with the ability to interpret user behavior and provide actionable insights.
- Excellent communication and collaboration skills to work effectively with data scientists and technical teams.
- Knowledge or exposure to conversational AI tools and platforms (e.g., Dialogflow, Rasa, or similar).
Nice-to-Have Skills
- Familiarity with Large Language Models (LLMs) and their applications.
- Exposure to technologies such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS).
- Understanding of the Bhasa infrastructure or similar conversational AI ecosystems.
- Basic programming or scripting knowledge for prototyping/testing purposes.
Company
