Sr. Technical Alliance Engineer – AI Platform

Campbell, CA

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning.
Neural Mesh by WEKA sets the standard for agentic AI data infrastructure with a cloud- and AI-native software solution you can deploy anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization, making AI model training and inference, machine learning, and other compute-intensive workloads run faster, more efficiently, and with less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value.

If you share our passion, we invite you to join us on this exciting journey.

We are seeking a Technical Alliance Engineer with deep expertise in parallel file systems, storage technologies, AI technologies, and performance benchmarking to join our team. As a PM, you will bridge the gap between engineering, product management, and marketing by demonstrating the value of our technology integrations through technical content, benchmarking, and certification testing. You will be responsible for crafting compelling narratives, developing performance analysis, and engaging with customers to highlight the advantages of our storage solutions.

• Work with alliance partners to explore product integration opportunities to jointly solve customer problems.
• Work on partner certification and validation.
• Develop and execute benchmarking methodologies to measure and showcase the performance of our parallel file system solutions. Focus more on use case-based benchmarks to highlight product differentiation
• Work hands‑on with NVMe storage, AI/ML workloads, and high‑performance file systems to optimize performance and validate use cases.
• Leverage experience with NVIDIA technologies including GPUDirect Storage (GDS), GPU architectures, Spectrum-X networking, and accelerator architectures to enhance storage performance and AI/ML workloads.
• Create technical content such as whitepapers, blogs, presentations, and solution briefs to communicate the value of our technology.
• Collaborate with engineering teams to provide feedback on product features and performance tuning.
• Engage with customers and partners to deliver technical presentations, webinars, and hands‑on workshops.
• Evaluate partner product features and replicate customer scenarios.
• Support field teams by providing deep technical insights and assisting in pre‑sales engagements.
• Analyze market trends in storage, NVMe, AI/ML workloads, and GPU‑accelerated computing to refine messaging and competitive positioning.

• Strong understanding of parallel file systems (e.g., Lustre, IBM Spectrum Scale, WekaFS, BeeGFS, etc.).
• Expertise in storage benchmarking tools (e.g., FIO, IOzone, mdtest, IOR, Elbencho, SPEC Storage, etc.).
• Hands‑on experience with infrastructure setup and configuration. Strong knowledge of NVMe storage and its role in high‑performance computing and AI/ML workloads.
• Solid grasp of AI/ML workflows and how they interact with storage architectures.
• Experience working with NVIDIA GPU architectures, GPUDirect Storage (GDS), and Spectrum‑X networking
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• Deep knowledge of file system internals, storage networking, and data management technologies
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• Experience working in a storage lab environment , setting up test environments, and…