Senior Sales Engineer-Benelux

Posted Yesterday
Be an Early Applicant
27 Locations
Remote
Senior level
Artificial Intelligence • Software
The Role
Support Benelux sales by running evaluations, benchmarks, system configurations and installations; create architecture blueprints; guide product requirements with R&D; contribute to sales strategy; recruit and develop sales and field engineering teams; advise on support organization formation.
Summary Generated by Built In
Description

Senior Sales engineer - Supporting Benelux Region

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

"VAST's data management vision is the future of the market."- Forbes

VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.

Description:

Assisting customers with evaluations and benchmarks, system configurations, and system installations.

Work closely with VAST R&D Engineering in helping to define product requirements and usability, including the creation of product specification documents.

Participate in the creation of sales strategy and tactics and takes ownership of technical responsibilities within customer accounts.

Demonstrate technical leadership and subject matter expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces.

Creation of architecture “blueprints” for repeatable solutions that the Sales team will deliver to the customer community.

Help with the development of a dispersed group of system and field engineers.

Assist with the recruiting and hiring and development of the Sales and Sales Engineering team.

Consult on how to form and build and manage a Support organization.

Requirements
  • 5+ years of experience supporting the sales of enterprise storage to large IT organizations 
  • Positive energy, optimism and vision.
  • Ability to perform in an unstructured environment.
  • Understanding of classic unstructured data applications and next-generation analytics and AI frameworks.
  • Preparation and/or delivery of technical product and architecture presentations to customers and trainees.
  • Knowledge of virtualization, high-performance computing, networking and enterprise security.
  • Excellent verbal and written communication skills

Skills Required

  • 5+ years of experience supporting the sales of enterprise storage to large IT organizations
  • Understanding of classic unstructured data applications and next-generation analytics and AI frameworks
  • Knowledge of virtualization, high-performance computing, networking and enterprise security
  • Preparation and/or delivery of technical product and architecture presentations to customers and trainees
  • Ability to perform in an unstructured environment
  • Positive energy, optimism and vision
  • Excellent verbal and written communication skills
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The Company
Brooklyn, NY
848 Employees
Year Founded: 2016

What We Do

Meet the data platform company for the AI era. Accelerating time-to-insight for workload-intensive applications, the VAST Data Platform delivers scalable performance, radically simple data management and enhanced productivity for the AI-powered world. Launched in 2019, VAST is the fastest-selling data infrastructure startup in history.

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