RASIKA JAMBURGE

- Leading product strategy and execution for a SaaS platform covering CRM, customer engagement, loyalty, workflow automation, menu management, and AI-driven capabilities. - Own product discovery, roadmap planning, backlog prioritization, PRDs, user stories, sprint planning, release execution, and cross-functional stakeholder management. - Built customer intelligence capabilities including segmentation, lifecycle tracking, loyalty insights, personalized engagement, and customer feedback analytics. - Collaborate with Engineering on APIs, integrations, scalable platform capabilities, and AI-powered product initiatives. - Partner with business stakeholders to define MVP scope, product KPIs, roadmap priorities, and product delivery aligned with business goals. - Designed a customer satisfaction scoring framework for CRM feedback to improve customer retention and service quality.

- Owned end-to-end delivery of customer-facing digital products across ecommerce, marketplace, payments, catalog, Product Detail Pages (PDP), merchandising, pricing, checkout, OMS, logistics, customer engagement, and seller operations. - Led product discovery, roadmap planning, PRDs, backlog prioritization, user stories, sprint planning, release planning, GTM execution, and success metrics for multiple product initiatives. - Improved checkout conversion by 10-15% through payment optimization, shopping cart improvements, funnel analysis, customer journey optimization, and A/B experimentation. - Built scalable platform workflows covering commerce, payments, order lifecycle, refunds, supplier operations, compliance, and third-party integrations. - Partnered with UX, Engineering, QA, Analytics, Product Marketing, Business, and Operations teams to deliver products from discovery through launch. - Worked on AI-powered personalization, product recommendations, search & discovery, visual search, and Shopify-integrated ecommerce capabilities to improve customer experience and engagement. - Led compliance initiatives covering data privacy, data retention, API integrations, and platform scalability across multiple geographies. - Monitored product performance using Mixpanel, Microsoft Clarity, SQL, customer feedback, and business metrics to prioritize roadmap and drive continuous product improvements.

- Partnered with Product Managers and Engineering teams to define acceptance criteria, validate APIs, and ensure high-quality product releases across customer-facing digital platforms. - Leveraged SQL, structured data validation, and production issue analysis to improve platform reliability, business workflows, and customer experience.

Certification

Indian School of Business - Hyderabad

December 2025

Field: Product Management (Integrated with Generative AI)