Senior Product Manager, Planning

Avathon•Pleasanton, CA

1d•Onsite

About The Position

Avathon is hiring a Senior Product Manager to own Planning on its Industrial AI platform, beginning with integrated demand planning. The scope includes statistical and machine-learning forecasting, demand sensing, demand-supply matching, inventory positioning, and S&OP for manufacturers and asset-heavy operators in energy, mining, manufacturing, and aerospace. The role will turn customer-specific planning capabilities into a unified product with a clear roadmap, built on Avathon’s Computational Knowledge Graph and AI agents, including its manufacturing planner agent. This is a product management role in Product Engineering, not a customer delivery role. The Product Manager owns what the team builds and why, working with engineering, AI science, and forward deployed teams to deliver the product. The role sets the vision, roadmap, and priorities for Planning across demand, supply, inventory, and S&OP; shapes how planners work with, supervise, and override planning agents; and determines what belongs in the core product versus customer configuration. It also defines connections between planning and other platform areas, including PLM and BOM data, logistics, procurement, and asset health. The position owns the demand planning module and how consensus demand plans inform supply allocation, inventory repositioning, and asset rebalancing. The Senior Product Manager will spend time with customer planners and S&OP leaders, translate deployment requests into reusable product requirements, and partner with data science so model outputs become actionable recommendations. They will write requirements and acceptance criteria, run release reviews with the engineering lead, maintain the roadmap, and measure adoption and value delivered.

Requirements

At least 8 years of product management experience, including at least 4 years owning a supply chain planning product such as 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 experience leading planning systems at a large manufacturer.
Depth in demand planning, including knowledge of statistical and ML forecasting methods, forecast accuracy and bias metrics, and how demand plans drive supply decisions.
Breadth across plan-to-fulfill, including demand-supply matching, inventory optimization, allocation, and S&OP.
Experience shipping AI- or ML-driven product features to enterprise customers.
Comfort with ERP, MES, and PLM data, including SAP and Oracle, and understanding of how that data flows into planning.
Strong written communication skills, including the ability to write a one-page product brief that engineering and sales can both understand.
Bachelor’s degree in Engineering, Computer Science, Operations Research, or a related quantitative field.

Nice To Haves

Experience with agentic workflows in planning.
Experience in industrial B2B environments such as manufacturing, mining, energy, or aerospace.
MBA or MS degree.

Responsibilities

Own the vision, roadmap, and priorities for Planning across demand, supply, inventory, and S&OP.
Understand the planning software market and identify where an AI-native, graph-based approach can differentiate.
Define how planners work with, supervise, and override agents that generate forecasts, flag exceptions, and recommend supply actions.
Decide which capabilities belong in the core product and which remain customer configuration.
Define how Planning connects with PLM and BOM data, logistics, procurement, and asset health.
Own demand planning capabilities, including statistical forecasting, ML-based demand sensing, and collaborative demand review.
Define requirements for demand segmentation, forecast value-add (FVA), and forecast bias and accuracy analytics.
Bring B2B demand signals—including customer contracts, project forecasts, production schedules, commodity indices, and macro indicators—into the planning engine.
Own how consensus demand plans flow into supply allocation, inventory repositioning, and asset rebalancing, and how trade-offs are presented 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.
Conduct customer discovery 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 to make model outputs understandable and actionable for planners.
Write clear requirements and acceptance criteria, run release reviews with the engineering lead, and maintain an honest roadmap.
Track adoption and delivered value, including forecast accuracy, inventory turns, and clear-to-build hit rate.