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WekaIO

AI-native data platform for high-performance workloads

Field Chief Technology Officer – AI Infrastructure & Neocloud

Developer Relations & AdvocacyPosted on Nov 7
Full-timeCampbell, CA, USANo salary listed

About the Job

Requirements

  • 15+ years of technical experience in relevant industries.
  • Proven experience architecting large-scale AI infrastructure environments, including GPU compute, high-performance storage, and the networking and data pipelines around them.
  • Hands-on experience in a senior technical role inside a neocloud, NVIDIA Cloud Partner, GPU-as-a-service provider, or hyperscaler AI platform.
  • Deep understanding of multi-tenant GPU cloud architecture, including tenant isolation, scheduling and orchestration with Kubernetes or Slurm, high-performance networking with InfiniBand or RoCE, and the data layer that determines GPU utilization.
  • Proven track record deploying and utilizing multiple AI frameworks and technologies across training and inference.
  • Ability to translate technical terms into business value for varied audiences, including neocloud and AI cloud providers, foundational model builders, hyperscalers, and traditional enterprises adopting AI.
  • Excellent written and verbal communication skills, with the ability to hold credibility with a principal engineer and a CIO.
  • Experience building and maintaining strong relationships with customers and partners.
  • Comfort with frequent travel across North America.

Responsibilities

  • Connect WEKA's neocloud, NVIDIA Cloud Partner, and AI infrastructure customers across the Americas to the broader WEKA team, alongside other members of the CTO Office.
  • Partner with the go-to-market team to develop and deliver technical presentations, demonstrations, and customer workshops that showcase WEKA's value proposition for AI training, inference, and multi-tenant GPU cloud workloads.
  • Advise go-to-market teams and customers on how WEKA addresses architectural and economic challenges of operating GPU infrastructure at scale, including multi-tenancy, GPU utilization, inference and token economics, and the data and memory layer beneath AI.
  • Collaborate with product, engineering, and marketing stakeholders to align customer needs, technology strategy, and product roadmap, and advocate for the field when they are out of sync.
  • Deliver advisory services to the field, working with presales and post-sales organizations to drive successful outcomes.
  • Provide oversight on large, complex neocloud and AI customer engagements across the region where appropriate.
  • Champion technical innovation across functions inside and outside go-to-market, staying current on emerging GPU, networking, inference-serving, and agentic AI technologies and assessing their impact on the business.
  • Cultivate partnerships with technology providers, including NVIDIA and the NVIDIA Cloud Partner ecosystem, GPU and accelerator vendors, hyperscalers, server and networking partners, orchestration vendors, and inference-serving vendors, to address customer requirements and expand WEKA's reach and influence across the Americas.
  • Represent WEKA at industry events, conferences, and workshops across the region, establishing thought leadership in AI infrastructure, neocloud architecture, and inference economics.
  • Identify emerging market trends and technologies across AI infrastructure to inform product development and go-to-market strategy.

Desired Qualifications

  • Domain expertise in an adjacent vertical such as electronic design automation, life sciences, media and entertainment, or financial services; AI workflows and infrastructure remain the primary focus.
  • Demonstrated experience and proven skills as a technical evangelist, including public speaking, published technical content, and designing and running customer workshops.

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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