🛠 Tech Stack

💼 About This Role

You'll design and own data architecture for ERP systems and process documentation for engineering-to-production workflows. Your work ensures scalable procurement and clear production signals for AI infrastructure.

🎯 What You'll Do

• Define standards for assembly structures and Make vs. Buy signals
• Lead configuration management and ECO strategy
• Audit engineering releases for design for manufacturability
• Document and improve end-to-end ERP processes

📋 Requirements

• Bachelor's degree in Engineering (Industrial, Systems, Mechanical) or equivalent
• 2–5+ years managing intersection of Engineering Data and ERP systems
• Expertise in ERP logic (e.g., Acumatica, SAP, NetSuite)
• Proficiency in reading engineering drawings and CAD structures

✨ Nice to Have

• Continuous improvement methodology experience (Lean, Six Sigma, PDCA)
• Experience with ECO execution and configuration management
• Root cause analysis and process-level problem solving

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Health insurance
• 💰 401(k) matching
• 📈 Stock options
• 🏢 Onsite work in Tulsa, OK

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Interview· 1 hour