Product Evangelist

As a Product Analyst at VAYUZ, you will play a crucial role in gathering and analyzing requirements from internal teams, clients, and stakeholders to convert ideas into actionable product insights. Your responsibilities will include: - Identifying opportunities where AI/ML can enhance user experience, automation, and decision-making across VAYUZ products. - Conducting product research, competitor benchmarking, and GTM analysis to stay updated on AI trends shaping digital ecosystems. - Building user flows and prototypes in Figma, specifically focusing on AI interaction flows such as prompts, chat patterns, and automations. - Collaborating with engineering teams to assess the feasibility of AI integrations using technologies like LLMs, APIs, RAG, OCR, embeddings, and automations. - Creating user stories, acceptance criteria, test scenarios, and conducting UAT across various devices, with a particular emphasis on checking AI outputs and model behavior. - Maintaining product documentation including functional specs, AI feature briefs, and release notes. - Presenting insights and updates to stakeholders through structured reviews and reports. - Managing dashboards to monitor timelines, dependencies, progress, and product metrics, including AI accuracy, latency, and adoption. - Contributing to sprint planning, backlog grooming, and agile ceremonies. - Developing a working knowledge of cloud services such as AWS, GCP, Azure, vector DBs, APIs, and third-party integrations. - Leveraging Google Sheets/Docs, dashboards, and PM tools for collaboration, tracking, and reporting. - Exploring and validating AI POCs using low-code/no-code tools like Zapier, n8n, and Make. Qualifications: - Freshers with a product mindset and curiosity for AI products are encouraged to apply. - Prior internships in product, design, tech, or AI are advantageous but not mandatory. Required Skills: - Strong analytical, communication, and storytelling abilities. - Genuine interest in understanding how products, especially AI-enhanced products, are built, shipped, and scaled. - Structured yet creative thinker with a curiosity about the evolving app and AI ecosystem. - Basic understanding of cloud services, APIs, and AI concepts like LLMs, prompts, embeddings, and automations. - Ability to break down ambiguous problems into clear product and AI problem statements. - Comfortable working with Figma, Google Workspace, and project management tools. - Exposure to AI tools such as ChatGPT, Claude, Midjourney, GitHub Copilot, Replit, etc., is a plus. - Proficiency in prototyping, data analysis, and effective communication of insights. As a Product Analyst at VAYUZ, you will play a crucial role in gathering and analyzing requirements from internal teams, clients, and stakeholders to convert ideas into actionable product insights. Your responsibilities will include: - Identifying opportunities where AI/ML can enhance user experience, automation, and decision-making across VAYUZ products. - Conducting product research, competitor benchmarking, and GTM analysis to stay updated on AI trends shaping digital ecosystems. - Building user flows and prototypes in Figma, specifically focusing on AI interaction flows such as prompts, chat patterns, and automations. - Collaborating with engineering teams to assess the feasibility of AI integrations using technologies like LLMs, APIs, RAG, OCR, embeddings, and automations. - Creating user stories, acceptance criteria, test scenarios, and conducting UAT across various devices, with a particular emphasis on checking AI outputs and model behavior. - Maintaining product documentation including functional specs, AI feature briefs, and release notes. - Presenting insights and updates to stakeholders through structured reviews and reports. - Managing dashboards to monitor timelines, dependencies, progress, and product metrics, including AI accuracy, latency, and adoption. - Contributing to sprint planning, backlog grooming, and agile ceremonies. - Developing a working knowledge of cloud services such as AWS, GCP, Azure, vector DBs, APIs, and third-party integrations. - Leveraging Google Sheets/Docs, dashboards, and PM tools for collaboration, tracking, and reporting. - Exploring and validating AI POCs using low-code/no-code tools like Zapier, n8n, and Make. Qualifications: - Freshers with a product mindset and curiosity for AI products are encouraged to apply. - Prior internships in product, design, tech, or AI are advantageous but not mandatory. Required Skills: - Strong analytical, communication, and storytelling abilities. - Genuine interest in understanding how products, especially AI-enhanced products, are built, shipped, and scaled. - Structured yet creative thinker with a curiosity about the evolving app and AI ecosystem. - Basic understanding of cloud services, APIs, and AI concepts like LLMs, prompts, embeddings, and automations. - Ability to break down ambiguous problems into clear product and AI problem state