8 or more years of relevant experience across technology, solution design, and customer-facing communication
Pre-sales or customer-facing technical experience
Experience with higher education, research computing, academic medical centers, or the public sector
Familiarity with HPC and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation
Broad technical depth across two or more of: cloud, HPC, AI and machine learning infrastructure, data management, core infrastructure, analytics, or financial and business applications. A career built entirely inside storage is not what we are looking for
A track record of selling on value: uncovering what the customer is trying to accomplish and connecting technology to business, operational, and financial outcomes
The ability to hold credible conversations with engineers, architects, executives, data scientists, researchers, finance teams, and procurement, and to adjust the message for each
Comfort with ambiguity, and the judgment to challenge assumptions and help customers think through complicated decisions
Curiosity, empathy, an open mind, and a genuine appetite for continuous learning
Excellent verbal and written communication skills
BS in CS, EE, another technical degree, or equivalent experience