Product Operations Associate

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

Wisor is an AI-powered financial assistant within the CheQ ecosystem that helps users understand their credit cards, rewards, spends, and financial profile through conversational AI. We are looking for a Product Operations Associate to own data quality, evaluation operations, and production monitoring processes that directly impact the accuracy and reliability of the product.

Key Responsibilities

Data Annotation & Quality Operations Review, annotate, and validate large-scale datasets including transaction data, merchant mappings, category classifications, and production logs. Improve merchant and category annotation accuracy through continuous audits and corrections. Create, maintain, and expand golden datasets for model training, benchmarking, and evaluation. Identify data quality gaps and collaborate with Product, Data Science, and Engineering teams to resolve them. AI Evaluation & Benchmarking Own manual evaluation of AI responses across different components of the Wisor response pipeline. Benchmark model outputs and track quality metrics over time. Conduct regular audits of user interactions to identify hallucinations, inaccuracies, and poor user experiences. Review and analyze all 1-star rated user interactions and support RCA creation. Production Monitoring & RCA Support Monitor production logs and user feedback to proactively identify issues. Support incident investigations and root cause analysis. Maintain evaluation frameworks, annotation guidelines, and quality dashboards. Work closely with Product Managers to prioritize fixes and improvements.

Requirements

1–3 years of

experience

in Product Operations, Data Operations, QA, Analytics, or related roles. Strong analytical mindset and attention to detail. Comfortable working with large datasets and spreadsheets. Basic understanding of AI/LLM products and evaluation concepts. Familiarity with SQL, and python is preferred. Strong communication and documentation skills. 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.

1–3 years of

experience

in Product Operations, Data Operations, QA, Analytics, or related roles. Strong analytical mindset and attention to detail. Comfortable working with large datasets and spreadsheets. Basic understanding of AI/LLM products and evaluation concepts. Familiarity with SQL, and python is preferred. Strong communication and documentation skills. 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.