Senior AI Planning Product Manager – Demand & S&OP

Avathon

Pleasanton (CA)

On-site

USD 140,000 - 180,000

Full time

2 days ago

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Benefits offered by this job

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Job summary

Avathon in the Bay Area, CA, is seeking 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, and S&OP for manufacturers and asset-heavy operators in energy, mining, manufacturing and aerospace.

You will turn current custom planning into a single product with a clear roadmap built on our Graph AI.

Qualifications

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

Responsibilities

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
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
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