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Path Robotics

AI-powered autonomous welding robots on subscription

Production Scheduler

Production Planning & SchedulingConfirmed live in the last 24 hours
Full-timeColumbus, OH, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent is required.
  • At least 5 years of production or engineering experience is required.
  • Knowledge of production planning systems is required.
  • Experience supporting new product launches is required.
  • A strong understanding of enterprise resource planning (ERP) systems and inventory management is required.

Responsibilities

  • Schedule cell work order releases based on customer demand priority, kitting needs, design readiness, material availability, production resources, parts-picking resources, and floor space.
  • Schedule subassembly device work orders by aligning resource availability, safety stock levels, and future demand.
  • Identify material deliveries and expedite materials as needed to meet build schedules.
  • Track design changes, feature rollout schedules, and production needs to optimize production schedules.
  • Manage return cells, schedule un-builds, and manage the inventory return process in ERP.
  • Collaborate with Engineering to finalize work order bills of materials, including parts selection, vintage component reuse, and customer-specific requirements.
  • Maintain ERP accuracy and timeliness, including closing work orders and sales orders on time and maintaining bill-of-materials accuracy based on actual production team usage and field service changes.
  • Develop schedule planning systems within NetSuite and other planning tools, including Monday.com, Tableau, and Airtable.

Desired Qualifications

  • Experience directly related to production planning and multi-level bill-of-materials configurations is preferred.

About the Company

Path Robotics

AI-powered autonomous welding robots on subscription

Path Robotics develops autonomous welding systems for manufacturing. Its AI-powered robots scan parts, create 3D models, determine positioning, and weld without requiring skilled welders or manual programming. The system analyzes sensor data with proprietary AI to adapt to each part, enabling high-quality welds even when parts aren’t identical or precisely positioned. It differentiates itself with autonomous, AI-driven scanning and welding suited for high-mix, high-variance, low-volume environments, plus a pay-as-you-go subscription with preventative maintenance, helping manufacturers reduce labor and upfront capital while maintaining reliable welding.

Company size
201-500
Company stage
Debt Financing
Total funding
$289.7M
Headquarters
Columbus, OH
Founded
2014

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