Job Title

About the RoleWe are seeking a tech-savvy Product Operations Analyst who can bridge the gap between AI-driven innovation and product execution. The ideal candidate will bring strong Python scripting skills, a passion for optimizing product workflows, and expertise in prompt engineering to enhance automation, analytics, and decision-making across product teams.You will collaborate closely with product managers, data scientists, and engineering teams to streamline operational processes, design prompt systems for AI tools, and improve product efficiency.Key Responsibilities- Partner with Product Managers to define and monitor key metrics for product and operational success. - Design, test, and optimize prompts for LLM-based tools to enhance workflows, data insights, and automation. - Develop Python-based scripts and dashboards to streamline reporting and process tracking. - Conduct data analysis (SQL, Python, BI tools) to identify trends and improvement opportunities. - Collaborate with engineering teams to integrate prompt-based automation into existing systems. - Document and maintain prompt repositories, SOPs, and feedback loops. - Support A/B experiments and evaluate AI-assisted workflows for efficiency gains. - Continuously monitor AI tool performance and recommend refinements based on business feedback.Required Skills & Qualifications- Bachelor’s degree in Engineering, Computer Science, or related technical field (IIT/IIIT/NIT/Thapar or equivalent preferred). - 2–4 years of experience in product operations, data analytics, or related product-facing roles. - Proficiency in Python scripting (data wrangling, automation, API integration). - Working knowledge of prompt engineering techniques for generative AI tools (ChatGPT, Claude, Gemini, etc.). - Strong analytical and problem-solving skills; ability to work with data and derive insights. - Familiarity with SQL, dashboarding tools (Power BI, Tableau, Looker), and product analytics metrics. - Excellent communication and cross-functional collaboration skills.Preferred Skills- Exposure to A/B testing or product experimentation frameworks. - Experience with workflow automation tools (Zapier, LangChain, OpenAI API). - Understanding of LLM evaluation and fine-tuning basics. - Prior experience in startup or product-based environments.