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WekaIO

AI-native data platform for high-performance workloads

Senior Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeCalifornia, USA$250k - $280k

About the Job

Requirements

  • Familiarity with high-performance input/output workloads.
  • Extensive filesystem systems background, including experience with NFS, SMB, and distributed parallel filesystems.
  • Strong knowledge of the Linux operating system.
  • Understanding of data center networking.
  • Experience with performance demonstrations and analysis.
  • Experience running workloads in cloud hypervisors such as AWS, Azure, OCI, or GCP.
  • Excellent verbal and written interpersonal skills.

Responsibilities

  • Meet with customers and partners to educate them on WEKA's technical aspects.
  • Assist with evaluations and system configurations.
  • Build and deliver technical product and architecture presentations and demonstrations.
  • Advocate for WEKA customers and relay feedback to the research and development and product management organizations.
  • Serve as a technical adviser to customers, periodically review their status, and inform them about possible improvements.
  • Become a subject matter expert on WEKA and its ecosystem.
  • Contribute to or lead responses to requests for proposals, requests for quotations, and requests for information.
  • Help create and maintain Q&As, best practices, and other technical documentation.
  • Perform the role as a hands-on position.

Desired Qualifications

  • Prior experience working at a startup company is an advantage.
  • Scripting abilities are an advantage.

About the Company

WekaIO

AI-native data platform for high-performance workloads

WEKA is an AI-native data platform that provides a cloud- and hardware-agnostic software solution for performance-heavy AI, ML, and GPU workloads. The WEKA Data Platform organizes and speeds data across on-premises, cloud, edge, and hybrid environments to turn isolated data into dynamic pipelines. It delivers high throughput and scalable data management to support enterprise AI initiatives and research workloads, helping teams gain faster insights. WEKA differentiates itself with a single scalable platform that works across multiple infrastructure footprints and emphasizes energy efficiency, aiming to simplify and accelerate data-driven AI workflows for large enterprises and research groups while replacing legacy data silos.

Company size
501-1,000
Company stage
Series E
Total funding
$465.1M
Headquarters
Campbell, CA
Founded
2013

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