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VAST Data

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Systems Engineer - West Coast

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Summary

Senior (pre-sales) Systems Engineer at VAST Data, serving as a trusted technical advisor to enterprise customers on the US West Coast — leading technical sales cycles, designing solutions for AI, analytics, cloud, and HPC workloads, and running demos and proofs-of-concept on VAST's AI operating system platform (storage, databases, and AI data services).


VAST Data is looking for a Senior Systems Engineer to join our growing team! This is a unique opportunity to work at one of the fastest-growing infrastructure companies in history and help some of the world's most innovative organizations build the foundation for AI.


VAST's AI Operating System unifies storage, databases, messaging, and AI data services into a single platform that powers modern AI factories, enterprise AI applications, analytics, and cloud-scale infrastructure. As a Senior Systems Engineer, you will serve as a trusted technical advisor to customers, helping them design, evaluate, and deploy next-generation data platforms that accelerate business outcomes and AI innovation.


This role combines technical depth, solution architecture, executive communication, and consultative selling.


Responsibilities



  • Lead the technical sales process from discovery through deployment planning.
  • Build trusted relationships with customer executives, architects, and engineering teams.
  • Design and present solutions for AI, analytics, cloud, HPC, virtualization, and enterprise workloads.
  • Deliver product demonstrations, workshops, and proof-of-concept engagements.
  • Translate customer business and technical requirements into VAST-based architectures.
  • Partner with Product, Engineering, Customer Success, and Sales leadership to drive customer outcomes.
  • Represent VAST at customer meetings, industry events, and executive briefings.

Requirements


  • 7+ years in Systems Engineering, Solutions Architecture, Sales Engineering, or a similar customer-facing technical role.
  • Experience supporting enterprise and strategic accounts through complex sales cycles.
  • Strong understanding of modern infrastructure, including data storage, cloud, Kubernetes, AI/ML, virtualization, networking, and data platforms.
  • Excellent communication, presentation, and customer engagement skills, with the ability to influence both technical and executive stakeholders.
  • Ability to architect solutions, lead technical evaluations, and drive successful customer outcomes.


Skills

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