Senior Pre-Sales Systems Engineer, Higher Education (IN/MI)
Everpure · Posted Oct 29
Enterprise data storage and management platform for apps, analytics, and AI
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About the role
Everpure (formerly Pure Storage) is a data platform company spanning hyperscalers, AI labs, the AI hardware supply chain, and data platform providers, with $3.7 billion in fiscal 2026 revenue. This role supports the Higher Education business, focused on R1 research universities whose campuses host central IT, research computing and HPC teams, genomics and imaging cores, AI/ML labs, and academic medical centers. The Senior Pre-Sales Systems Engineer acts as technical lead on these accounts, working with account managers, specialists, and partners to build technically and financially defensible solutions across research workloads, data management, and storage architectures.
What you will do
- Develop a real understanding of what drives each institution: research priorities, funding cycles, capital versus operating constraints, and who actually makes the decision
- Connect technology, including the Everpure portfolio and the broader ecosystem, to measurable research and institutional outcomes
- Move fluently between principal investigators, research computing staff, central IT, CIOs, finance, and procurement, adapting the conversation to each audience instead of delivering the same presentation
- 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
- Take ownership of evaluations, benchmarks, proofs of concept, and system configurations, and secure the technical win
- Capture requirements and translate them into solutions that help institutions grow their research capability rather than just their capacity
- Author responses to RFIs, RFPs, and RFQs, which in this segment are frequent and detailed
- Stay current on the competitive landscape and make sure our positioning reflects it honestly
- Follow market and research computing trends closely enough to bring that thinking back into our organization
- Lead by example living the Pure Values: Persistence, Creativity, Teamwork, Ownership and Customer-first
Skills used in this role
What the employer is looking for
- 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
Preferred qualifications
- Knowledge of current and emerging storage architectures (FC, iSCSI, NAS, SAN, object) and file systems
- Linux, NFS, and distributed Linux environments
- VMware, Ethernet, TCP/IP, and general networking
- AWS, Azure, or GCP, and hybrid or cloud-native architectures
- Containers, Kubernetes, and microservices
- Data-intensive applications such as structured databases (SQL, Oracle) and analytics platforms
- Experience with grant-funded procurement, consortium purchasing, or public sector contract vehicles
- Familiarity with HPC, research and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation
Benefits and support
- Incentive pay and/or equity eligibility
- Flexible time off
- Wellness resources
- Company-sponsored team events
About Everpure
Everpure is an enterprise data storage and management company that unifies all data with an enterprise data cloud, making it easy to manage and get AI-ready fast. Formerly known as Pure Storage, the company delivers an industry-leading, ever-evolving storage and data management platform.
- Industry
- Data Storage
- Company size
- 6000+ employees
- Founded
- 2009
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $470M raised
- 2013-08-29Series E$150M
- 2014-04-23Series F$225M
Leadership
Chairman and CEO
Rob Lee
Chief Technology Officer
Dan FitzSimons
Chief Revenue Officer
Recent coverage
PR Newswire
Everpure's Expanding Business Model Fuels New Long-Term Outlook2026-09-23
Everpure Newsroom
Everpure to Join the S&P 5002026-09-08
HyperFrame Research
Everpure Rebrands From Pure Storage, Reports Record Revenue and Acquisition of 1touch2026-02-27