Senior Pre-Sales Systems Engineer, Education; Texas

P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world is what the tech industry was founded on.

Everpure (formerly Pure Storage) is hiring a Senior Pre-Sales Systems Engineer to support our Higher Education business, with a focus on R1 research universities.

R1 institutions are not one customer. A single campus can behave like a dozen different organizations at the same time: central IT running enterprise applications, research computing and HPC teams, genomics and imaging cores, AI and machine learning labs competing for GPU time, an academic medical center with its own rules and its own budget, and faculty groups buying infrastructure directly with grant money.

Decisions move through CIOs, research computing directors, principal investigators, sponsored programs offices, procurement, and consortium contract vehicles, often in parallel and not always in agreement.

That environment rewards someone who can hold a lot of context at once, translate between very different audiences, and connect technology to the outcomes these institutions actually care about: time to result for researchers, compliance with sponsor and grant requirements, data that stays usable for a decade or more, and budgets that have to stretch further every year.

You will be the technical lead on these accounts, working alongside account managers, specialists, and partners to build solutions customers can defend internally, both technically and financially.

Build the business case alongside the technical one: total cost of ownership, power and cooling, data center footprint, staff time, and the real cost of the current environment

Support research workloads end to end, from instrument and sequencer output through HPC and AI pipelines to long-term retention and archive

Help customers work through data management questions: lifecycle and retention, reproducibility, sponsor and funding agency data sharing expectations, research data governance, and security requirements such as NIST 800-171 and CMMC where they apply

Partner closely with account managers, specialists, channel partners, and higher education purchasing consortia and contract vehicles

Capture requirements and translate them into solutions that help institutions grow their research capability rather than just their capacity

Lead by example living the Pure Values:
Persistence, Creativity, Teamwork, Ownership and Customer-first

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 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…