Product Evangelist Intern

Responsibilities

• Gather and analyse requirements from internal teams, clients, and stakeholders, converting ideas into actionable product insights
• Identify where AI/ML can enhance user experience, automation, and decision-making across VAYUZ products
• Conduct product research, competitor benchmarking, and GTM analysis, including mapping AI trends shaping digital ecosystems
• Build user flows and prototypes in Figma, including AI interaction flows (prompts, chat patterns, automations)
• Collaborate with engineering to evaluate feasibility for AI integrations (LLMs, APIs, RAG, OCR, embeddings, automations)
• Create user stories, acceptance criteria, test scenarios, and conduct UAT across devices, including checks for AI outputs and model behaviour
• Maintain product documentation — functional specs, AI feature briefs, and release notes
• .Present insights and updates to stakeholders through structured reviews and reports
• .Maintain dashboards to track timelines, dependencies, progress, and product metrics (including AI accuracy, latency, and adoption)
• Contribute to sprint planning, backlog grooming, and agile ceremonies
• Develop working knowledge of cloud services (AWS, GCP, Azure), vector DBs, APIs, and third-party integrations
• Use Google Sheets/Docs, dashboards, and PM tools for collaboration, tracking, and reporting
• Explore and validate AI POCs using low-code/no-code tools (Zapier, n8n, Make).

Qualifications

• Freshers with a product mindset and curiosity for AI + product are welcome.
• Prior internships in product, design, tech, or AI are an advantage but not mandatory.

Required Skills

• Strong analytical, communication, and storytelling abilities.
• Genuine interest in understanding how products (and AI-enhanced products) are built, shipped, and scaled.
• A structured yet creative thinker with curiosity about the evolving app and AI ecosystem.
• Basic understanding of cloud services, APIs, and AI concepts (LLMs, prompts, embeddings, automations)
• Ability to break down ambiguous problems into clear product and AI problem statements.
• Comfortable with Figma, Google Workspace, and project management tools.
• Exposure to any AI tools (ChatGPT, Claude, Midjourney, GitHub Copilot, Replit, etc.) is a plus.
• Ability to prototype, analyse data, and communicate insights effectively.