Engineering Lead, Planning

Who We Are & Why Join UsAvathon 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.comWe 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 the 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 Have8+ 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 APIsExperience 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 cloud platforms (GCP or AWS); graph…