Product Owner ( Retail, Consumer Goods & Field Sales Technology)

We are looking for a highly capable Sr. Product Manager to lead the definition and delivery of a modern Retail Execution Platform that supports field execution, customer engagement, visit planning, order capture, and enterprise integration at scale.

Own the product vision, delivery scope, and roadmap for the Retail Execution Platform. Define what is included in each release and ensure strong control over what remains out of scope. Translate strategic business objectives into a phased product plan with clear priorities and measurable outcomes. Drive decision-making around core platform capabilities versus one-off feature requests. Maintain a disciplined approach to backlog management, ensuring that the product evolves intentionally rather than reactively. Shape the product as a platform, not just a point solution, with emphasis on reuse, configuration, scalability, and tenant readiness. Ensure product decisions support multi-market and multi-tenant deployment models where relevant. Partner with architecture and engineering to align product requirements with platform-native design principles. Champion a configuration-driven approach wherever possible to reduce hard-coded business logic and improve adaptability.

Experience working as an AI Product Builder on complex, enterprise-grade SaaS platforms. Strong familiarity with AI-assisted product and development workflows using tools such as Cursor, AntiGravity, and other vibe coding tools/frameworks. Ability to use AI-native tools to accelerate product definition, requirement structuring, prototyping, flow design, and cross-functional execution. Experience collaborating in environments where AI is actively used to speed up engineering delivery, experimentation, and product iteration. Comfort working with modern product development approaches that combine business context, technical architecture, and AI-assisted execution. Demonstrated ability to contribute effectively in teams building configurable, scalable, and integration-heavy SaaS products. Exposure to using AI tools for translating product ideas into structured specifications, user journeys, acceptance criteria, and delivery-ready artifacts. Preference for candidates who can bridge product thinking with emerging AI-enabled ways of building digital platforms.