Engineering Lead, Planning

Pleasanton · Pleasanton, CA (HQ) · USD 160,000-220,000 / year · 3+ years experience · Remote · Posted Oct 19, 2026

At a glance

Avathon is 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 including demand planning, supply and capacity planning, inventory and clear-to-build.
This is a hands-on lead role in Product Engineering where you will write code, own the architecture, and lead a team of engineers.

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
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
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

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 cloud platforms (GCP or AWS)
Bachelor's or Master's degree in Computer Science, Engineering, Operations Research or a related field

This role is not remote.
Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.