Product Operations Intern

About CheQ At CheQ, we’re turning the chaos of credit into a journey that’s clear, rewarding, and even a little fun. With ₹80,000 Cr+ in lifetime payments, a growing tribe of users (30%+ using more than two products), and $16M raised from marquee investors, we’re fast becoming India’s favorite way to go from credit-stressed to credit-smart. Founded by ex-Flipkart leader Aditya Soni and backed by 3one4 Capital, Venture Highway, Ram Shriram, Lloyd Mathias and more, CheQ isn’t just another fintech, it’s a full-stack credit experience.

About the Role

We are looking for a Product Operations Intern to support the Wisor AI team in maintaining data quality, evaluating AI responses, and monitoring user experience. This role offers hands-on exposure to AI products, product analytics, and operational excellence.

Key Responsibilities

Data Annotation Review and label transaction, merchant, and category data. Assist in maintaining high-quality datasets used for evaluation and benchmarking. Identify data inconsistencies and report findings to the team. AI Response Evaluation Evaluate AI-generated responses using predefined quality frameworks. Compare outputs against benchmark responses and golden datasets. Document observations and quality issues. User

Experience

Monitoring Review user interactions and feedback. Analyze low-rated conversations and summarize recurring issues. Assist with RCA documentation and issue tracking. Operational Support Maintain evaluation trackers and operational dashboards. Support recurring quality audits and reporting activities. Collaborate with Product and Analytics teams on ad-hoc operational tasks.

Requirements

Pursuing or recently completed a degree in Engineering, Computer Science, Statistics, Business, or a related field. Strong attention to detail and analytical thinking. Comfortable working with spreadsheets and structured data. Interest in AI, LLMs, and product development. Basic SQL knowledge is a plus but not mandatory. What You'll Learn AI evaluation and benchmarking methodologies. Data annotation and quality management. Product analytics and operational workflows. Root cause analysis and production issue management. Working closely with Product, Data, and Engineering teams. Why should you join CheQ You own it, we trust you Shape your work with freedom, deliver with ownership, backed by trust. Bold, fast & human We push boundaries together, and deliver with agility, rigor, and heart. Always looking out for one another. Growth by osmosis Learn directly from a stellar leadership team with rich, diverse backgrounds. And that’s just the start: Pay that matches the best in the industry. The thrill of solving real India-first problems at scale. Exposure to cutting-edge tech and innovation. What you will not get Monotony → Work is dynamic, expect variety every day. Slow climbs → Growth here is about leaps, not ladders. Layers of red tape → We believe in speed, not bureaucracy.

Pursuing or recently completed a degree in Engineering, Computer Science, Statistics, Business, or a related field. Strong attention to detail and analytical thinking. Comfortable working with spreadsheets and structured data. Interest in AI, LLMs, and product development. Basic SQL knowledge is a plus but not mandatory. What You'll Learn AI evaluation and benchmarking methodologies. Data annotation and quality management. Product analytics and operational workflows. Root cause analysis and production issue management. Working closely with Product, Data, and Engineering teams. Why should you join CheQ You own it, we trust you Shape your work with freedom, deliver with ownership, backed by trust. Bold, fast & human We push boundaries together, and deliver with agility, rigor, and heart. Always looking out for one another. Growth by osmosis Learn directly from a stellar leadership team with rich, diverse backgrounds. And that’s just the start: Pay that matches the best in the industry. The thrill of solving real India-first problems at scale. Exposure to cutting-edge tech and innovation. What you will not get Monotony → Work is dynamic, expect variety every day. Slow climbs → Growth here is about leaps, not ladders. Layers of red tape → We believe in speed, not bureaucracy.