Company Description eShipz is a fast-growing logistics automation platform that helps brands streamline shipping operations and deliver smooth post-purchase experiences. The platform offers modules for multi-carrier shipping, real-time tracking, NDR management, returns, freight audit, and more, enabling businesses to manage logistics in one place. eShipz provides multi-carrier integrations, automated shipping labels, real-time alerts, and easy analytics and reporting, backed by reliable customer support. Over 350 businesses, from eCommerce companies to large enterprises, trust eShipz to optimize their logistics workflows and improve customer satisfaction.
Role Description The Gen AI Product Analyst will work closely with product, engineering, and business teams to design, analyze, and improve AI-driven features across the eShipz platform. Day-to-day responsibilities include gathering and interpreting product data, assessing the performance of Gen AI models, translating business requirements into product specifications, and supporting feature prioritization based on user impact and ROI. The role involves preparing clear documentation, collaborating on experiment design and A/B tests, and communicating insights and recommendations to stakeholders. This is a full-time, immediate-joiner position based in the Greater Bengaluru Area, structured as a hybrid role with a mix of on-site and work-from-home flexibility.
Qualifications
- Strong analytical skills and data analytics capabilities, including experience working with large datasets and deriving actionable insights.
- Business analysis and product management skills to translate user needs and business goals into clear requirements and product roadmaps.
- Excellent communication skills for collaborating with cross-functional teams and presenting complex AI and product concepts in simple terms.
- 3+ years of experience in a product, data, or analytics role, preferably in SaaS, logistics, or AI-driven products.
- Hands-on experience with Gen AI or machine learning products, including familiarity with LLMs, prompt design, and model evaluation metrics.
- Proficiency in tools such as SQL, Excel/Sheets, and analytics platforms (e.g., Mixpanel, GA, Power BI, or similar).
- Bachelor’s degree in Engineering, Computer Science, Data Science, Business, or a related field; advanced degrees are a plus.
- Ability to work independently in a fast-paced environment, prioritize tasks effectively, and adapt to evolving product and business needs.