Operations I

Role Overview: You will be working as a Data/Catalogue Operations Intern at Flean, focusing on organizing, verifying, and managing the product database. Your primary responsibility will be ensuring the accuracy, consistency, and structure of the catalogue to enhance Flean's recommendation engine's product understanding. This role is crucial as your work will directly impact the user experience and decision-making process for thousands of users on the platform. Key Responsibilities: - Review and reconcile product information from various sources to maintain data accuracy - Identify and address duplicate or mismatched SKUs to ensure consistency - Manage category consistency and tagging for AI-driven systems - Gain understanding and manage nutritional and health-related information hands-on - Collaborate with product and engineering teams to optimize data structure and taxonomy - Utilize tools like Google Sheets and AI assistants for data validation and documentation - Provide support for related catalogue and data tasks as required Qualifications Required: - Detail-oriented, curious, and comfortable handling structured data - Proficient in Google Sheets/Excel with a proactive attitude towards learning AI tools - Interest in food, personal care, or the intersection of technology and healthy choices - Enjoy analyzing patterns, managing data, and enhancing product understanding in systems Additional Company Details: Flean is a fast-paced startup that values action, creativity, and growth for every team member. The company is on a mission to empower urban Indians with transparent, science-backed insights into food and skincare products. If you enjoy rolling up your sleeves, experimenting boldly, and celebrating wins together, you will thrive in this environment. Stipend Details: - Training Period (First 2 months): Training - Months 3-6: Stipend up to 5,000 What You'll Gain: - Hands-on experience in catalogue management and data operations - Exposure to AI recommendation systems and their reliance on clean, structured data - Opportunities to collaborate with engineers and product teams in a dynamic startup setting - Learning opportunities in product taxonomy, prompt automation, and data-driven decision systems - Internship certificate, Letter of Recommendation, and visible impact on a growing product,