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Build and manage Hammerspace’s AI-powered knowledge ecosystem for the go-to-market organization. Responsibilities include designing AI workflows and retrieval experiences, developing onboarding and certification programs, evaluating AI technologies, driving adoption, automating knowledge work, and establishing governance and taxonomy. The role partners cross-functionally with Product, Engineering, Presales, Marketing, Sales, and Customer Success to improve knowledge discovery, employee readiness, onboarding speed, and time-to-productivity.

Lead pre-sales technical engagements in China for Hammerspace, translating customer requirements into storage and data management solutions. Run evaluations, benchmarks, demos, and RFP responses; collaborate with sales, partners, product, and marketing; and provide domain expertise on distributed storage, file systems, cloud, and networking architectures.

Embed with strategic accounts to design and deploy data architectures that accelerate AI/ML and HPC workloads. Build custom integrations, debug high-speed networks and storage, collaborate with engineering to convert field fixes into product improvements, and identify expansion opportunities while managing technical stakeholders.