Engineering Lead, Product Lifecycle Management (PLM)
Avathon · Pleasanton, California, United States
About this role
**Engineering Lead, Product Lifecycle Management (PLM)** **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: http://avathon.com --- ## Role Overview We’re hiring an **Engineering Lead for Product Lifecycle Management** to own the technical delivery of Avathon’s **PLM integrations** and the **AI capabilities** built on top of them. You’ll work alongside Forward Deployed Design Leads and customer engineering teams to connect **PLM, CAD/PDM, ERP, and MES** systems to the Avathon platform, model product structures and engineering change flows in our Computational Knowledge Graph, and ship features customers use every day (e.g., **BOM comparison, change impact, and digital thread**). This is a **hands-on lead** role: you’ll write code, own integration architecture, and lead a small team through implementation, go-live, and hypercare. --- ## Responsibilities ### PLM Integration Architecture - Own the technical design for integrating customer PLM systems (**Teamcenter, Windchill, 3DEXPERIENCE, SAP PLM, Oracle Agile**) with the Avathon platform - Build and maintain connectors and data pipelines from **PLM, CAD/PDM, ERP, and MES** into our **Bronze/Silver/Gold data lake** - Define canonical data models for **parts**, **EBOM/MBOM structures**, variants, effectivity, and engineering changes - Set standards for **data quality**, **sync latency**, and reconciliation between source systems and the platform ### Knowledge Graph and AI Features - Model product structures and change relationships (**ECR, ECO, MCA, MBOM, BOP**) in the Computational Knowledge Graph so changes can be traced to downstream impact - Build backend services behind **BOM comparison**, **engineering change impact**, and **clear-to-build** views - Partner with ML/data science/agent teams to apply **Normal Behavior Models** and AI agents to PLM data (e.g., flagging unusual ECR patterns or change-driven supply risk) - Turn one-off customer work into reusable platform components ### Delivery and Technical Leadership - Hands-on lead through discovery, build, go-live, and hypercare on customer deployments - Run technical working sessions with customer PLM/IT/engineering teams and act as the senior technical contact - Own go-live readiness: integration testing, data validation, performance, and security review - Review designs and code, set engineering practices, and mentor engineers on the PLM domain - Partner with design, product, and customer success to scope work, call out risk early, and keep delivery on plan --- ## Key Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field - **8+ years** software engineering experience, including **3+ years** leading engineers or te
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