About the job
About the role: • Define and execute the product vision and roadmap for the Retail Intelligence Suite across domains including POS sales analytics, shopper behavior, pricing, promo effectiveness, inventory/supply signals, and assortment performance. • Build and launch AI-powered capabilities, including embedded Copilots, Agentic workflows, and scenario-based intelligence applications for merchandising, planning, and execution teams. • Lead development of centralized dashboards and API-accessible data models that serve up dynamic, role-based recommendations across CINDE modules (e.g., Promo Optimize, Assortment Optimize, Store Intelligence). • Drive integration of first-party, syndicated, and third party datasets to fuel real-time performance measurement, predictive modeling, and closed-loop optimization. • Collaborate with platform engineering, ML teams, and UX to deliver high-performance, scalable, and intuitive user experiences across central office and store operations. • Partner with customer success, sales, and marketing to develop go-to-market assets, sales enablement content, and pricing models for intelligence-driven features. • Engage directly with clients and industry stakeholders to validate use cases, gather feedback, and shape future innovation. • Support cross-domain product launches, acting as the strategic intelligence layer across assortment, promo, price, and execution planning applications. • Ensure tight alignment with broader CINDE product vision, including semantic models, knowledge graph integration, and GenAI platform services. About you: • Proven experience in developing enterprise-grade AI or analytics platforms for retail or CPG use cases. • Strong understanding of connected retail domains, including sales planning, promotional optimization, assortment strategy, shopper insights, pricing analytics, and supply chain signals. • Demonstrated ability to translate complex data and ML models into actionable products that solve real user problems and drive adoption. • Strategic mindset with a strong ability to influence executive stakeholders and cross-functional teams. • Expertise in building products at the intersection of data, UX, and AI, with a bias for user-centric design and scalable architecture. • Comfort with ambiguity and complexity; ability to prioritize and execute in fast-paced environments with evolving market needs.
About the company
SymphonyAI is building the leading enterprise AI SaaS company driving digital transformation in retail, CPG, finance, manufacturing, media, and IT. Since 2017, we’ve grown to serve 2,000+ global customers and employ over 3,000 professionals across 30+ countries, all united by our vision to deliver predictive, prescriptive, and autonomous AI solutions that deliver true business impact.
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