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VAST Data is defining an entirely new category in enterprise infrastructure by building the world’s first Operating System for AI.
As VAST expands the ways customers deploy the VAST AI OS, we are looking for a deeply technical Partner Solutions Engineer to serve as a subject matter expert for VAST deployments on partner and customer-selected hardware, with a primary focus on the VAST EBox platform.
This role sits at the intersection of solution architecture, field engineering, product expertise and strategic customer engagement. You will become one of VAST’s foremost experts on how the VAST AI OS performs, scales and operates across partner hardware platforms—and a trusted technical resource for VAST Sales Engineers, partners and customers.
The Senior Partner Solutions Engineer will own the technical strategy and field success of VAST’s partner-based deployment model.
You will help customers understand not simply how to deploy VAST on partner hardware, but how to get the most from the platform: how to size it, what performance to expect, how hardware and configuration choices affect the customer experience, and where customization can unlock additional value for strategic deployments.
You will support VAST Sales Engineers and partner technical teams throughout the sales cycle, acting as the technical authority for EBox-based solutions. For broadly repeatable deployments, you will provide architecture, guidance and best practices. For VAST’s most strategic opportunities, you will take a much more active role—helping design the solution, recommending customizations, validating readiness and taking accountability for a successful deployment.
Success in this role means making VAST on partner hardware a predictable, high-performance and differentiated customer experience.
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Serve as VAST’s technical subject matter expert for EBox and other partner-based deployment models.
Act as an escalation point and trusted advisor for VAST Sales Engineers designing solutions on partner hardware.
Participate in strategic customer campaigns that demonstrate the technical and economic value of deploying the VAST AI OS on partner platforms.
Size and architect solutions based on customer workloads, performance objectives, capacity requirements and infrastructure constraints.
Develop clear expectations for performance, scalability, resiliency and operational experience across supported hardware configurations.
Understand how server, networking, storage media, and configuration choices affect VAST performance and customer experience.
Recommend and help validate platform customizations for highly strategic opportunities, including understanding the downstream impact of those changes on performance, supportability, lifecycle management and operations.
Guide customers and partners through pre-installation readiness, infrastructure validation and deployment planning.
Develop custom installation and success plans for complex or strategic deployments.
Lead or coordinate troubleshooting of challenging deployment issues spanning hardware, networking, configuration and VAST software.
Partner closely with Support, Engineering and Product to resolve field issues and translate deployment experience into product and process improvements.
Build repeatable architectures, deployment practices, sizing methodologies and technical guidance that enable the broader SE and partner ecosystem to operate independently.
Support VAST Amplify and other software-defined deployment models that extend the VAST AI OS across customer-selected infrastructure.
The ideal candidate combines the technical depth of a senior field, services or support engineer with the architecture skills and customer presence of an experienced Sales Engineer.
Strong candidates may come from enterprise infrastructure, storage, networking or software-defined systems companies. More important than any specific company background is the ability to become a true platform expert: someone who understands how the solution behaves in the real world, can guide other technical teams with confidence, and can take ownership when a strategic customer deployment needs to succeed.
The data platform company for the AI era.
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