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Sales Manager - Parcel

VANDERLANDE

BirminghamFull-timeMid LevelOn-site

Job Description

Overview

In this role you drive growth in the UK parcel solutions segment by building strong customer relationships and leading multi-disciplinary teams through tender and solution design. You will collaborate across UK and global functions to ensure proposals meet customer needs and deliver best-value services. The position offers exposure to automation in parcel systems and opportunities to influence project and service outcomes with cross-functional leadership.

Pay / Benefits
  • 28 days annual leave (excluding public holidays)
  • Bupa Medical Cover
  • YuLife wellbeing membership
  • Cycle to work scheme
  • Pension with Aviva
  • Achievers recognition platform
Responsibilities
  • Develop and grow relationships with key parcel customers in the UK
  • Lead and manage matrixed teams during the tender process for sales opportunities (project and service)
  • Coordinate multi-disciplined teams to support scope definition, design and programme look ahead to determine the best value-add solution
  • Negotiate terms and conditions for project opportunities with the UK Contracts Manager
  • Present solutions to customers, including pricing, products and systems layout, to meet commercial requirements
  • Foster effective working relationships with all departments in the UK and globally to exceed customer expectations
  • Collaborate with internal teams (e.g., NEME, India) to align on customer delivery and support
Key requirements
  • Automation experience in an engineering or manufacturing environment
  • Preferred knowledge of the UK parcel market and/or customer operations
  • Strong data analysis and problem-solving skills
  • Ability to interpret drawings
  • Flexibility to undertake European travel
  • Experience using Microsoft Excel, PowerPoint and Word
  • Relationship-building
  • Negotiation
  • Cross-functional collaboration
  • Automation experience in engineering/manufacturing
  • Ability to interpret drawings
  • Data analysis

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