We are looking for a Product Manager to lead our integrated demand planning module and the downstream planning workflows it feeds -- demand-supply matching, inventory positioning, and asset rebalancing. You will own the product from consensus demand through executable supply decisions, partnering with engineering, data science, and customers to define and deliver the planning experience. You Will • Own the demand planning module -- statistical forecasting, ML-based demand sensing, and collaborative demand review workflows • Define requirements for demand segmentation, forecast value-add (FVA) tracking, and bias/accuracy analytics • Drive integration between demand signals (customer contracts, project forecasts, production schedules, commodity indices, macro-economic indicators) and the planning engine • Own demand-supply matching -- how the consensus demand plan flows into supply allocation, inventory positioning, and asset rebalancing decisions • Define product requirements for inventory repositioning workflows -- where to hold stock, when to rebalance across locations, and how to surface trade-offs to planners • Design the collaborative planning experience -- structured workflows for demand analysts, supply planners, sales teams, and S&OP leaders to review, override, and approve plans with auditability • Shape the vision for agentic planning -- we are building AI agents (like our manufacturing planner agent) that autonomously generate forecasts, flag exceptions, and recommend supply actions; you will define how planners interact with, supervise, and override these agents • Partner with data science to translate ML model outputs into planning recommendations that are understandable and actionable in the product • Gather feedback from planners and S&OP leaders, validate hypotheses, and iterate based on real planning cycles You'll Have • 5+ years of product management experience, with meaningful exposure to supply chain planning software (demand planning, S&OP, inventory, or supply planning) • Depth in demand planning -- you understand how statistical and ML-based forecasting methods work, what forecast accuracy metrics mean, and how demand plans flow into supply decisions • Breadth across supply chain planning -- you've worked across enough of the plan-to-fulfill chain (demand-supply matching, inventory optimization, S&OP) to connect the pieces • Experience with at least one planning platform (SAP IBP, Kinaxis, o9, Blue Yonder, Oracle, or similar) • Ability to write clear product requirements for data-heavy features -- pipelines, model integration, analytics • Strong communication skills; comfortable translating between data science teams and business planners • Bachelor's degree in a quantitative or technical field; MBA is a plus Preferred Qualifications • Experience building products that incorporate ML/AI or agentic workflows into planning processes • Exposure to B2B demand signal integration -- contract-based demand, project pipelines, or IoT/sensor-based consumption signals • Experience with inventory positioning, network optimization, or allocation planning • Experience in mining, manufacturing, energy, aerospace, or other industrial B2B environments • Familiarity with computational knowledge graphs or decision intelligence platforms • Startup or high-growth SaaS experience Benefits & Perks What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more! • Evolving culture with the opportunity to drive new ideas and technology • Stock Option Grants • Medical Coverage and Parental Leave Plans • 401k with Employer Match • Monthly Technology Allowance • Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas Contract and temporary roles are not eligible for the above benefits. Compensation Pay Range: $140k - $180k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.