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Product Manager, Integrated Demand Planning

Avathon · Pleasanton, California, United States · Posted May 26, 2026

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Who We Are Why Join Us

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at: avathon.com

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 sna…

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