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American Carton Company in Mansfield, TX is seeking a on-site Estimator to analyze customer specifications, drawings and artwork to prepare accurate cost estimates for folding carton projects.
You will review job details, calculate material usage, labor and manufacturing costs, and collaborate with sales, design and production teams to ensure estimates align with customer expectations and plant capabilities.
American Carton Company (ACC) is a women-owned, full-service folding carton manufacturer serving the DFW Metroplex since 1992. The company specializes in innovative, paperboard packaging solutions that stand out on the shelf through creative structural design, high-quality graphics, and specialty finishes such as coatings, embossing, foil stamping, and windowing. ACC's experienced team focuses on listening to customers, building strong relationships, and delivering quality products with exceptional service. The company is passionate about helping brands make a memorable first impression through packaging that enhances the end-user experience and builds trust. ACC maintains comprehensive in-house capabilities, including FDA-compliant manufacturing, advanced color reproduction, digital prototypes and 3D visualization, specialty printing and coatings, and robust supply chain protection features.
This is a full-time, on-site Estimator role based in Mansfield, TX. The Estimator will analyze customer specifications, drawings, and artwork requirements to prepare accurate cost estimates for folding carton projects. Day-to-day responsibilities include reviewing job details, calculating material usage, labor, and manufacturing costs, and collaborating with sales, design, and production teams to ensure estimates align with customer expectations and plant capabilities. The role involves preparing quotations, updating pricing models, maintaining estimate records, and supporting order planning to optimize efficiency and profitability. The Estimator will also help identify cost-saving opportunities, monitor vendor pricing, and contribute to continuous improvement in estimating processes.