Field CTO - AI Infrastructure & Neocloud, Americas (Bay Area-based)

WEKA•Campbell, CA

About The Position

WEKA is seeking a Field CTO for AI Infrastructure in the Americas, based in the San Francisco Bay Area, to engage with organizations building and operating large GPU environments, including neoclouds and NVIDIA Cloud Partners, GPU-as-a-service providers, frontier model builders, hyperscalers, and AI-native enterprises. The role participates in major architecture decisions involving multi-tenant GPU cloud design, inference economics, and the memory and data layer for agentic workloads. It translates customer requirements into solutions and reference architectures on WEKA NeuralMesh and establishes WEKA as a data platform of choice for AI clouds. This role operates as a peer to customer CTOs and principal engineers, bringing expertise on the direction of GPU infrastructure and influencing product and engineering priorities when market needs and the roadmap diverge. AI workflows and supporting infrastructure are the primary focus; expertise in adjacent domains such as EDA, life sciences, media and entertainment, or financial services is valued. The Field CTO collaborates with WEKA's broader CTO Office, serves as the region's technical evangelist for AI infrastructure, and reports directly to the Head of Solutions Engineering. Frequent travel across North America is required.

Requirements

15+ years of technical experience in relevant industries.
Proven experience architecting large-scale AI infrastructure environments, including GPU compute, high-performance storage, networking, and data pipelines.
Hands-on experience in a senior technical role inside a neocloud, NVIDIA Cloud Partner, GPU-as-a-service provider, or hyperscaler AI platform, with credibility among people who build and run these environments.
Deep understanding of multi-tenant GPU cloud architecture, including tenant isolation, scheduling and orchestration (Kubernetes, Slurm), high-performance networking (InfiniBand, RoCE), and the data layer that affects GPU utilization.
Proven track record deploying and utilizing multiple AI frameworks and technologies across training and inference.
Demonstrated technical evangelism skills, including public speaking, published technical content, and designing and running customer workshops.
Ability to translate technical concepts 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 establish credibility with both principal engineers and CIOs.
Experience building and maintaining strong customer and partner relationships.
Comfort with frequent travel across North America.
Collaborative, results-oriented mindset, strong work ethic, and genuine passion for staying ahead of the technology curve.

Nice To Haves

Domain expertise in an adjacent vertical such as EDA, life sciences, media and entertainment, or financial services; AI workflows and infrastructure remain the primary focus.

Responsibilities

Connect WEKA's neocloud, NCP, and AI infrastructure customers across the Americas to the broader WEKA team, alongside other members of the CTO Office.
Partner with the GTM team to develop and deliver technical presentations, demonstrations, and customer workshops showcasing WEKA for AI training, inference, and multi-tenant GPU cloud workloads.
Advise GTM teams and customers on how WEKA addresses architectural and economic challenges in 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 GTM; stay current on emerging GPU, networking, inference-serving, and agentic AI technologies and assess their business impact.
Cultivate partnerships with technology providers, including NVIDIA and the NCP ecosystem, GPU and accelerator vendors, hyperscalers, server and networking partners, and orchestration and inference-serving vendors.
Represent WEKA at regional industry events, conferences, and workshops, establishing thought leadership in AI infrastructure, neocloud architecture, and inference economics.
Identify emerging AI infrastructure market trends and technologies to inform product development and go-to-market strategy.