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Lyric is an enterprise AI platform built specifically for supply chains, offering AI-powered solutions for network optimization, inventory allocation, route scheduling, demand forecasting, and scenario analysis. The company serves Fortune 500 retailers including Smurfit WestRock, Estée Lauder, and Coca-Cola.
As Senior Product Manager for Retail Planning, you will own product strategy and execution for major retail planning workflows across Hardlines and Softlines categories. Your core responsibilities include building deep understanding of how retailers make assortment, inventory, allocation, replenishment, and pricing decisions; translating complex planning problems into clear product primitives and workflows; and working directly with retail customers to identify where existing systems break down.
You'll reimagine retail planning for an agent-first world, challenging assumptions that planning software should simply provide better dashboards. You'll identify which planning decisions should remain planner-led, which should become AI-assisted, and which can become truly autonomous. This involves designing human-agent interactions that give planners leverage while maintaining necessary context, judgment, and control.
You'll spend significant time embedded with planning teams, operators, and retail leaders to develop strong intuition around category differences, channels, seasonality, and retail operating models. You'll partner with customers during early deployments, using real-world usage to rapidly improve products. You'll define clear success metrics, understand whether products are actually changing planner behavior and improving decisions, and make trade-offs across usability, sophistication, autonomy, explainability, and speed.
The role requires 6+ years of product management experience building complex B2B, enterprise, data, planning, optimization, or decision-support products. Strong understanding of retail planning—particularly Hardlines and/or Softlines—is essential. Experience with assortment, inventory, allocation, replenishment, merchandising, pricing, or forecasting domains is highly valuable. You should be comfortable with data-heavy products, able to collaborate closely with engineering, data science, and AI/ML teams, and possess excellent customer discovery skills. Strong written and verbal communication, comfort with ambiguity, and high execution standards are required.
