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The Senior Manager will lead the brand marketing efforts for Meesho, focusing on growth strategies, annual operating plans, and brand consistency. Responsibilities include guiding cross-functional teams, identifying brand opportunities through data and insights, and managing large projects to enhance brand equity and effectiveness in the e-commerce space.

As an Assistant Manager in Fulfilment and Experience at Meesho, you'll identify key problems, prioritize them, and implement solutions. You'll monitor logistics metrics, collaborate with planning teams for performance improvements, and engage leaders for updates, supporting cross-vertical mobility within the organization.

The Manager of Finance at Meesho will lead the Books, Audit, Payables, Banking, Insurance, and Assets vertical. Responsibilities include managing the treasury function, overseeing the investment portfolio, developing financial statements in accordance with GAAP, coordinating audits, and supervising accounting functions. The role requires collaboration with various teams and mentoring a team of financial professionals.

As Senior Manager for User and Seller Experience at Meesho, you will enhance shopping journeys by collaborating with Business, Product, Tech, and Data teams. Your role involves leading strategic initiatives and projects to improve user engagement and satisfaction while owning performance metrics in user and seller experience.

As an Assistant Manager in the F&E team at Meesho, you'll identify challenges, set priorities, and develop solutions while collaborating with product, analytics, and tech teams. Your responsibilities include driving implementation of programs, enhancing stakeholder experiences, and managing both internal and external stakeholders.

As a Data Scientist at Meesho, you will develop models, run experiments, improve product usability, understand reseller preferences, design discount programs, mentor junior data scientists, and more. Requires Bachelor's/Master's degree in computer science, 1-2 years of experience in a fast-paced organization, familiarity with Neural Networks, Machine Learning, SQL, R, Python, and strong analytical skills.

The Principal Data Scientist will lead generative AI research initiatives, design novel architectures, collaborate with engineering teams, mentor junior staff, and publish findings in prestigious conferences.