Senior Product Manager, Planning

We are hiring a Senior Product Manager to own Planning on the Avathon platform, starting with integrated demand planning. This covers statistical and ML-based forecasting, demand sensing, demand-supply matching, inventory positioning and S&OP for manufacturers and asset-heavy operators in energy, mining, manufacturing and aerospace. Today our planning capabilities are built customer by customer. Your job is to turn that into one product with a clear roadmap, built on our Computational Knowledge Graph and AI agents such as our manufacturing planner agent. This is a product management role in Product Engineering, not a customer delivery role. You will own what we build and why, and work with engineering, AI science and our forward deployed teams to ship it.

Product Strategy and Roadmap

• Own the vision, roadmap and priorities for Planning across demand, supply, inventory and S&OP
• Know the market. Understand where Blue Yonder, o9, Kinaxis, Oracle and SAP IBP are strong and where an AI-native, graph-based approach wins
• Shape agentic planning: define how planners work with, supervise and override agents that generate forecasts, flag exceptions and recommend supply actions
• Decide what goes into the core product versus what stays as customer configuration
• Define how planning connects to the rest of the platform: PLM and BOM data, logistics, procurement and asset health

Demand and Supply Planning

• Own the demand planning module: statistical forecasting, ML-based demand sensing and collaborative demand review
• Define requirements for demand segmentation, forecast value-add (FVA), and bias and accuracy analytics
• Bring B2B demand signals into the planning engine, including customer contracts, project forecasts, production schedules, commodity indices and macro indicators
• Own how the consensus demand plan flows into supply allocation, inventory repositioning and asset rebalancing, and how trade-offs are shown to planners
• Design collaborative workflows for demand analysts, supply planners, sales and S&OP leaders to review, override and approve plans with a full audit trail

Customer Discovery and Execution

• Spend real time with planners and S&OP leaders at customer sites and iterate based on real planning cycles
• Turn requests from deployments into reusable product requirements
• Work with data science so model outputs become recommendations planners understand and act on
• Write clear requirements and acceptance criteria, run release reviews with the engineering lead and keep the roadmap honest
• Track adoption and value delivered, such as forecast accuracy, inventory turns and clear-to-build hit rate

• 8+ years in product management, with at least 4 years owning a supply chain planning product (demand planning, S&OP, inventory or supply planning)
• Experience at a planning software vendor such as Blue Yonder, o9 Solutions, Kinaxis, Oracle SCM, SAP IBP, Anaplan or Aera, or leading planning systems at a large manufacturer
• Depth in demand planning. You know how statistical and ML forecasting methods work, what accuracy and bias metrics mean, and how demand plans drive supply decisions
• Breadth across plan-to-fulfill: demand-supply matching, inventory optimization, allocation and S&OP
• Experience shipping AI or ML driven product features to enterprise customers; agentic workflows in planning are a strong plus
• Comfortable with ERP, MES and PLM data (SAP, Oracle) and how it flows into planning
• Experience in industrial B2B environments such as manufacturing, mining, energy or aerospace is a plus
• Strong written communication. You can write a one-page product brief that engineering and sales both understand
• Bachelor's degree in Engineering, Computer Science, Operations Research or a related quantitative field. MBA or MS is a plus

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.