Senior Product Manager - Retail Planning

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

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.