• Manage key-customer orders and complaints, in order to assure high service levels.
• Support Sales Director in negotiations, product development and strategy/budget execution and monthly KPl's.
• Represent the customer's requirements within the company and personate the company In daily communication and periodic visits to the customer.
• Coordinate customer projects through strong interpersonal skills with the appropriate functional teams (supply chain, quality, technical services and others) to close sales opportunities or manage customer expectations on quality and/or supply and service needs.
• Market & competitor analysis on an ongoing basis.
• Maintain accurate pricing records.
• Follow customer's complaints through Fitesa process to ensure customer receives feedback In a timely manner.
• Gather and analyze historical data to back up negotiations.
• Arrange sample production and shipment, and follow-up with customer on the qualification process pace.
• Establish and update monthly sales forecasts based on negotiations and product development status.
• Develop and implement action plans to drive sales KPl's.
• Establish, maintain and improve relationship with customer and identify opportunities to increase its satisfaction levels and new businesses.
• Establish, maintain and improve relationship among departments to guarantee continuous improvement, customer satisfaction and business sustainability
• 10-15% travel in the U.S.

Bachelors in Engineering, Business, Marketing or related AND two (2) years of experience as Process/Project Engineer, Logistics Manager, Technical Services Engineer or Sales & Marketing.

Applicants must have 2 years of experience with:

• Spunbond, meltblown, and carded non-woven processes and products.

Applicants must have 1 year of experience with:

• Process engineering of nonwoven material.
• New Product development projects.
• Project management toolset (scope, schedules, budgets, reports, risk management, and updates).

Applicants must have demonstrative experience with:

• Product costing based on weight to metric conversion.
• Statistical experimental design/analysis.
• MS Excel and Visual Basic for Applications