Senior Pre-Sales Systems Engineer, Higher Education (IN/MI)

Everpure•Indianapolis, MI

1d•$141,400 - $212,100•Remote

About The Position

Everpure is hiring a Senior Pre-Sales Systems Engineer to support its Higher Education business, focusing on R1 research universities in Michigan or Indiana. The role serves as the technical lead on customer accounts, working with account managers, specialists, partners, and higher education purchasing consortia to develop solutions customers can justify both technically and financially. The position calls for understanding institutions’ research priorities, funding cycles, budget constraints, decision-making structures, and varied stakeholder needs, and connecting technology to measurable research and institutional outcomes. The engineer supports research workloads from instrument and sequencer output through HPC and AI pipelines to long-term retention and archive. The role also helps customers address data lifecycle and retention, reproducibility, sponsor and funding-agency data-sharing expectations, research data governance, and applicable security requirements such as NIST 800-171 and CMMC. Responsibilities include leading technical evaluations and procurement responses, securing technical wins, and staying current on competition and research-computing trends. The role requires at least eight years of relevant experience across technology, solution design, and customer-facing communication; pre-sales or customer-facing technical experience; and experience in higher education, research computing, academic medical centers, or the public sector. A BS in Computer Science, Electrical Engineering, another technical degree, or equivalent experience is required. The annual base salary range is $141,400–$212,100 USD. The role may also be eligible for incentive pay and/or equity. The position is tagged remote (#LI-REMOTE), and candidates must be in Michigan or Indiana.

Requirements

Eight 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, including parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation.
Broad technical depth across at least two of the following: cloud, HPC, AI and machine learning infrastructure, data management, core infrastructure, analytics, or financial and business applications.
Track record of value-based selling, uncovering customer goals and connecting technology to business, operational, and financial outcomes.
Ability to communicate credibly with engineers, architects, executives, data scientists, researchers, finance teams, and procurement, adapting the message to each audience.
Comfort with ambiguity and sound judgment in challenging assumptions and helping customers consider complex decisions.
Curiosity, empathy, an open mind, and an appetite for continuous learning.
Excellent verbal and written communication skills.
BS in Computer Science, Electrical Engineering, another technical degree, or equivalent experience.

Nice To Haves

Knowledge of current and emerging storage architectures (FC, iSCSI, NAS, SAN, and object) and file systems.
Linux, NFS, and distributed Linux experience.
VMware, Ethernet, TCP/IP, and general networking knowledge.
AWS, Azure, or GCP experience and familiarity with hybrid or cloud-native architectures.
Experience with containers, Kubernetes, and microservices.
Knowledge of data-intensive applications such as structured databases (SQL, Oracle) and analytics platforms.
Experience with grant-funded procurement, consortium purchasing, or public-sector contract vehicles.
Experience with higher education, research computing, or academic medical centers.
Familiarity with HPC, research, and AI environments, including parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation.

Responsibilities

Understand each institution’s research priorities, funding cycles, capital and operating constraints, and decision-making structure.
Connect Everpure’s portfolio and the broader technology ecosystem to measurable research and institutional outcomes.
Adapt technical conversations to principal investigators, research computing staff, central IT, CIOs, finance teams, and procurement.
Develop business cases that address total cost of ownership, power and cooling, data center footprint, staff time, and the cost of current environments.
Support research workloads from instrument and sequencer output through HPC and AI pipelines to long-term retention and archive.
Help customers address data lifecycle and retention, reproducibility, sponsor and funding-agency data-sharing expectations, research data governance, and applicable security requirements such as NIST 800-171 and CMMC.
Partner with account managers, specialists, channel partners, higher education purchasing consortia, and contract vehicles.
Own evaluations, benchmarks, proofs of concept, and system configurations, and secure the technical win.
Capture requirements and translate them into solutions that help institutions grow research capability.
Author responses to RFIs, RFPs, and RFQs.
Monitor the competitive landscape and represent Everpure’s positioning honestly.
Track market and research-computing trends and share relevant insights with the organization.
Lead by example in demonstrating the Pure Values: Persistence, Creativity, Teamwork, Ownership, and Customer-first.