Engineering Lead, Planning
Avathon · Pleasanton, California, United States
About this role
**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. Learn more at: http://avathon.com --- **Role: Engineering Lead, Planning** We are hiring an Engineering Lead to build and run the Planning product on the Avathon platform. You will lead the team that turns forecasting and optimization models into production planning software: demand planning, supply and capacity planning, inventory and clear-to-build. Planning runs on our Computational Knowledge Graph and pulls from ERP, MES, PLM, and logistics data—so the hard problems are data, scale, and getting the right plan in front of a planner fast. This is a hands-on lead role in Product Engineering: you will write code, own the architecture, and lead a team of engineers. --- **You Will** **Architecture and Build** - Own the technical architecture for Planning services: data models, plan generation, scenario and what-if runs, plan versioning, and reconciliation - Build pipelines that bring orders, inventory, BOM, production schedule, and shipment data from ERP, MES, PLM, and TMS sources into the planning model - Productionize forecasting and optimization models built with our AI scientists, including solver integration, scheduling of plan runs, and monitoring - Design for scale: large multi-level BOMs, many SKUs and sites, and plans that refresh in minutes (not overnight) **Platform Integration** - Model planning entities and their relationships in the Computational Knowledge Graph so a supply issue can be traced to the orders and production it affects - Work with the agent team to let AI agents explain plans, flag exceptions, and recommend actions - Turn customer-specific planning work into reusable product components **Team Leadership** - Lead and grow a team of engineers; set priorities, review designs and code, and mentor - Partner with the Planning product manager on roadmap, scope, and release planning - Own quality, performance, and reliability for Planning in production - Work with forward deployed teams on customer go-lives and escalations --- **You’ll Have** - 8+ years of software engineering experience, including 3+ years leading engineers - Built planning, scheduling, forecasting, or optimization software (ideally at a vendor such as Blue Yonder, o9 Solutions, Kinaxis, Oracle SCM, SAP IBP, or Anaplan—or on planning systems at a large manufacturer) - Strong backend skills in Python, Java, or similar, with experience building data pipelines and APIs - Experience integrating optimization solvers (Gurobi, CPLEX, OR-Tools, or similar) and ML models into production systems - Solid understanding of supply chain planning concepts: demand, supply, MRP, capacity, and inventory - Experience with large-scale data processing and c
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