Senior Product Manager - Retail Planning

What You'll Do Build Lyric's Retail Planning capabilities Own product strategy and execution for major Retail Planning workflows across Hardlines and Softlines. Develop a deep understanding of how retailers make assortment, inventory, allocation, replenishment, pricing, and related planning decisions. Translate messy, interconnected planning problems into clear product primitives, workflows, and capabilities. Work directly with retailers and planners to understand where existing planning systems break down and where Lyric can create step-change improvements. Define product

requirements, prioritize the roadmap, and drive products from discovery through launch and adoption. Reimagine Retail Planning for an agent-first world Challenge the assumption that planning software should simply provide better dashboards and workflows. Identify planning decisions and activities that AI agents can analyze, recommend, orchestrate, or execute autonomously . Design human-agent interactions that give planners leverage without removing the context, judgment, and control they need. Work with AI/ML and engineering teams on products that reason across large amounts of retail data and operate across multi-step planning workflows. Help define what

the role of the retail planner looks like when agents can increasingly perform the repetitive analytical and operational work. Become deeply embedded in the customer problem Spend significant time with planning teams, operators, and retail leaders. Develop strong intuition around differences between categories, channels, seasons, inventory structures, and retail operating models. Separate customer requests from underlying problems and build products that generalize across retailers. Partner with customers during early deployments and use real-world usage to rapidly improve the product. Drive outcomes, not feature delivery Define clear measures of success for the capabilities you own. Understand whether products are actually changing planner behavior and improving retail decisions. Make trade-offs across usability, sophistication, autonomy, explainability, and speed. Operate with high ownership across product, commercial, and customer outcomes.

What We're Looking For 6+ years of Product Management experience , ideally building complex B2B, enterprise, data, planning, optimization, or decision-support products. Strong understanding of retail planning , particularly within Hardlines and/or Softlines retail. Experience working on problems involving assortment, inventory, allocation, replenishment, merchandising, pricing, forecasting, or adjacent planning domains is highly valuable. Ability to understand complex business systems and reduce them into clear product abstractions. Strong product judgment. You can distinguish between recreating an existing workflow and designing a materially better way of solving the problem. Comfortable working with data-heavy products and collaborating closely with engineering, data science, and AI/ML teams. Excellent customer discovery skills. You can go several layers deeper than what a user initially asks for. Strong written and verbal communication. Comfortable operating in an environment with significant ambiguity, high autonomy, and a high bar for execution. We'd Be Particularly Excited If You've built products used by merchandise planners, inventory planners, allocators, buyers, or other retail planning teams. You've worked inside a major retailer or closely with enterprise retail customers. You've built AI-native or agentic products rather than simply adding AI features to an existing application. You naturally question whether a workflow needs to exist at all before optimizing it. You enjoy domains where product management requires learning the underlying business deeply enough to debate with experts. What Success Looks Like Within your first year, you should be able to: Become one of Lyric's internal experts on Hardlines and Softlines retail planning. Own and materially advance a meaningful portion of Lyric's Retail Planning product. Build trusted relationships with sophisticated retail customers and planners. Ship products that replace meaningful amounts of manual planning work, not merely make those workflows slightly faster. Establish repeatable patterns for how AI agents and human planners collaborate , moving Lyric progressively toward autonomous retail planning.

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