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WekaIO

AI-native data platform for high-performance workloads

Regional Sales Manager - Air Force & Space Force

Field SalesConfirmed live in the last 24 hours
Full-timeUnited StatesNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of information technology sales experience in the D [the source text is truncated].
  • Experience selling to the U.S. Air Force and/or U.S. Space Force.
  • A consistent track record of meeting or exceeding quota.
  • A proven track record of effective selling within the geo [the source text is truncated].

Responsibilities

  • Demonstrate a deep understanding of WEKA and the value it provides to customers.
  • Develop and execute a strategic plan to create a sales pipeline, acquire new logos and programs, and maintain positive ongoing relationships with current customers.
  • Accelerate customer adoption through education and engagement.
  • Work with strategic value-added reseller and original equipment manufacturer partners to cultivate and manage joint selling opportunities.
  • Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering.
  • Interface with multiple levels of WEKA senior management.

Desired Qualifications

  • A Bachelor's Degree is preferred.
  • A passion and desire to work in a startup culture and directly impact company growth.
  • Superb written and verbal communication skills.

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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