<p>WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. <strong>NeuralMesh by WEKA</strong> 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.</p> <p>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.</p> <p><strong>Location:</strong> Campbell, CA</p> <p><strong>About the role: </strong></p> <p>We are seeking a <strong>Technical Alliance Engineer </strong>with deep expertise in <strong>parallel file systems, storage technologies, AI technologies, and performance benchmarking</strong> 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.</p> <p><strong>What you’ll do: </strong></p> <ul> <li>Work with alliance partners to explore <strong>product integration</strong> opportunities to jointly solve customer problems. </li> <li>Work on partner certification and validation.</li> <li>Develop and execute <strong>benchmarking methodologies</strong> to measure and showcase the performance of our parallel file system solutions. Focus more on use case-based benchmarks to highlight product differentiation</li> <li>Work hands-on with <strong>NVMe storage, AI/ML workloads, and high-performance file systems</strong> to optimize performance and validate use cases.</li> <li>Leverage experience with <strong>NVIDIA technologies</strong> including <strong>GPUDirect Storage (GDS), GPU architectures, Spectrum-X networking, and accelerator architectures</strong> to enhance storage performance and AI/ML workloads.</li> <li>Create <strong>technical content</strong> such as whitepapers, blogs, presentations, and solution briefs to communicate the value of our technology.</li> <li>Collaborate with <strong>engineering teams</strong> to provide feedback on product features and performance tuning.</li> <li>Engage with <strong>customers and partners</strong> to deliver technical presentations, webinars, and hands-on workshops.</li> <li>Evaluate partner product features and replicate customer scenarios.</li> <li>Support <strong>field teams</strong> by providing deep technical insights and assisting in pre-sales engagements.</li> <li>Analyze market trends in storage, NVMe, AI/ML workloads, and GPU-accelerated computing to refine messaging and competitive positioning.</li> </ul> <p><strong>Required Qualifications:</strong></p> <ul> <li>Strong understanding of <strong>parallel file systems</strong> (e.g., Lustre, IBM Spectrum Scale, WekaFS, BeeGFS, etc.).</li> <li>Expertise in <strong>storage benchmarking</strong> tools (e.g., FIO, IOzone, mdtest, IOR, Elbencho, SPECStorage, etc.).</li> <li>Hands-on experience with infrastructure setup and configuration. Strong knowledge of NVMe<strong> storage</strong> and its role in high-performance computing and AI/ML workloads.</li> <li>Solid grasp of <strong>AI/ML workflows</strong> and how they interact with storage architectures.</li> <li>Experience working with <strong>NVIDIA GPU architectures, GPUDirect Storage (GDS), and Spectrum-X networking</strong>.</li> <li>Deep knowledge of <strong>file system internals, storage networking, and data management technologies</strong>.</li> <li>Experience working in a <strong>storage lab environment</strong>, setting up test environments, and troubleshooting performance issues.</li> <li>Strong ability to create <strong>technical content and presentations</strong> for both technical and business audiences.</li> <li>Excellent communication skills and the ability to convey complex technical concepts in an easy-to-understand manner.</li> <li>Strong knowledge of virtualization and containerization technologies. Hands-on experience with Kubernetes is a big plus. </li> </ul> <p><strong>Preferred Qualifications:</strong></p> <ul> <li>Experience with <strong>containerized and cloud storage architectures</strong>.</li> <li>Familiarity with <strong>RDMA, InfiniBand, RoCE, and high-speed networking</strong>.</li> <li>Prior experience working as a<strong> TME, Solutions Architect, or Storage Performance Engineer</strong> in a storage-focused company.</li> </ul> <p><str