AI Product Analyst

We are looking for a Conversational Analyst with 2-3 years of experience in designing and enhancing chat and voice user experiences. This role requires a deep understanding of user context, a strong focus on quality assurance, and a passion for creating impactful conversational solutions. The ideal candidate will play a critical role in identifying problems, testing conversational flows, and ensuring a seamless user journey before deployment.

Over time, the selected candidate will gain exposure to advanced technologies, including 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.