Pure Storage
Senior Pre-Sales Systems Engineer, Higher Education (Northeast)
$141K–$234K
Remote, Massachusetts +5 · Remote · Senior · Full-time · Posted Sep 18, 2026
- Location
- Remote, Massachusetts
Remote, New York
Remote, Pennsylvania
Massachusetts, United States
New York, United States
Pennsylvania, United States - Experience
- 8 or more years of relevant experience across technology, solution design, and customer-facing communication.
- Education
- BS in CS, EE, another technical degree, or equivalent experience.
About the job
Leads pre-sales technical strategy for R1 higher-education accounts, designing and validating solutions that support research and institutional outcomes.
What you'll do
- Develop account understanding and connect technology to research, operational, and financial outcomes, including business cases and total cost of ownership.
- Support research workloads and data-management needs from instrument output through HPC and AI pipelines to long-term retention.
- Lead evaluations, benchmarks, proofs of concept, system configurations, and technical responses to RFIs, RFPs, and RFQs.
What they ask for
- 8 or more years of relevant experience across technology, solution design, and customer-facing communication.
- Pre-sales or customer-facing technical experience and experience with higher education, research computing, academic medical centers, or the public sector.
- Familiarity with HPC and AI environments, including parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and research data pipelines.
- BS in CS, EE, another technical degree, or equivalent experience.
Nice to have
- Knowledge of storage architectures and file systems; Linux, NFS, networking, cloud, containers, or data-intensive applications.
- Experience with grant-funded procurement, consortium purchasing, or public sector contract vehicles.
Pay
$141,400 — $234,500 USD annual base salary range
Tools
HPC, AI, Slurm, NIST 800-171, CMMC, Linux, NFS, Kubernetes
AI focus
Supports research and AI workloads, including GPU-attached storage and data pipelines for genomics, imaging, or simulation.
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