Engineering Lead, Product Lifecycle Management (PLM)

What you'll do

• Design PLM integrations and data pipelines, and define canonical models and data-quality standards.
• Build knowledge-graph models and backend features for BOM comparison, engineering change impact, and clear-to-build views; apply AI agents and Normal Behavior Models to PLM data.
• Lead engineers and customer deployments, including technical reviews, go-live readiness, and hypercare.

What they ask for

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of software engineering experience, including 3+ years leading engineers or technical delivery.
• Hands-on integration experience with at least one named enterprise PLM platform, including its APIs and data model; knowledge of BOM management, engineering changes, variants, and effectivity.
• Experience integrating PLM with ERP, CAD/PDM, MES, and quality systems; strong Python backend skills building data pipelines and REST APIs.

Nice to have

• Experience with graph data models or graph databases; familiarity with digital thread concepts and MBSE exposure (SysML, Cameo, Rhapsody).
• Experience in manufacturing, automotive, aerospace, or defense environments.

Pay

$160,000-$220,000 USD base salary annually

Tools

Teamcenter, Windchill, 3DEXPERIENCE, SAP PLM, Oracle Agile, Python, REST APIs, SysML

AI focus

Work with ML, data science, and agent teams to apply Normal Behavior Models and AI agents to PLM data, such as identifying unusual ECR patterns or change-driven supply risk.