WEKA is architecting a new approach to the enterprise data stack built for the AI era. The WEKA® Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume 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 most innovative enterprises and research organizations, including 12 of the Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. We're passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. If you share our passion, we invite you to join us on this exciting journey. What's Cool About This Job If you are a seasoned alliance professional eager to own some of the most consequential OEM partnerships in the AI infrastructure industry, WEKA invites you to join our team in the San Francisco Bay Area — at the heart of the world's most dynamic technology ecosystem and within reach of the headquarters of some of our most strategic partners. Bring Your Expertise – and Your Passion WEKA seeks a dynamic and experienced OEM Alliance Manager to own and accelerate our strategic partner relationships across North America. This role spans WEKA's full OEM portfolio — Supermicro, Dell, HPE, Hitachi, and Lenovo — and is designed for a broad-based alliance leader who thrives on managing multiple high-stakes relationships simultaneously, finding the connective tissue between partners, and translating those relationships into measurable business outcomes. Based in the Bay Area, you will be ideally positioned to engage key partner stakeholders across the region, build executive relationships, and serve as the face of WEKA across the North American OEM ecosystem.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees