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Value Engineer

Noordwijk, Netherlands / Boston, United States

Work hands-on with customers and partners to implement Mavim in the best way possible


  • Engage with senior business and technical decision makers to understand business objectives and demonstrate the value proposition of Mavim
  • Understand key technical objections and develop strategies to resolve blockers.
  • Provide in-depth subject matter expertise to support the relationship with prospective customers, including product and solution briefings and proof-of-concept work.
  • Partner directly with product management to prioritize solutions impacting customer adoption.
  • Work hands-on with customers to demonstrate and support product integrations in customer/partner environments.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices.
  • Deliver customized pre-sales technical presentation and product demonstrations to customers;
  • Work with Mavim partners to develop product frameworks based on Mavim best practices


  • Bachelor's degree in Computer Science, Data Science or a related technical field or equivalent experience is preferred.
  • 2+ years of experience as a solutions architect, technical consultant, or technical sales engineer is preferred.
  • 2+ years of client facing technical experience is required.
  • Experience delivering technical pitches to executive audiences; Demonstrated consulting skills and an ability to present complex development topics to both business executives and technical audiences.
  • Proven track record of facilitating customer design sessions for complex application solution architectures.
  • Ability to coordinate technical team resources by identifying necessary team member skills required, assemble as appropriate, and orchestrate customer engagement technical strategy.
  • Strong desire to make a difference in a small team.

Preferred Qualifications 

  • Bachelor’s degree in Computer Science, Data Science or other technical field.
  • Experience in, and understanding of, data and information management as it relates to enterprise SaaS implementations and integrations.
  • Experience with high performance server technology and large volume data analytics.
  • Experience estimating, scoping, and writing effective SOWs that clearly set expectations and limit risk.
  • Experience answering security and regulatory compliance questions and demonstrated ability to address client privacy and information security concerns.
  • Experience in a professional services organization strongly preferred.


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