Value Engineer
Noordwijk, Netherlands / Boston, United States
Work hands-on with customers and partners to implement Mavim in the best way possible
Responsibilities
- 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
Qualifications
- 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.
