Senior Pre-Sales Systems Engineer, Higher Education

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Cultivate a deep understanding of each institution’s research priorities, funding cycles, operational and capital limitations, and key decision-makers.

• Link Everpure’s product offerings and wider ecosystem to tangible research and institutional results.

• Tailor technical discussions for principal investigators, research computing personnel, central IT, CIOs, finance teams, and procurement departments.

• Create technical and business cases that encompass total cost of ownership, power and cooling needs, data center space, staff time, and existing environment expenses.

• Assist research workloads from instrument and sequencer outputs through HPC and AI pipelines, extending to long-term data retention and archiving.

• Aid clients in managing data lifecycle, retention, reproducibility, data sharing with sponsors and funding agencies, governance, and security requirements.

• Collaborate with account managers, specialists, channel partners, and higher education purchasing consortia.

• Take ownership of evaluations, benchmarks, proofs of concept, and system configurations to achieve technical success.

• Gather requirements and translate them into solutions that enhance institutional research capabilities.

• Draft responses to RFIs, RFPs, and RFQs.

• Observe the competitive landscape and maintain transparent positioning.

• Monitor market trends and research computing developments, providing insights to the organization.

• Exemplify leadership through the Pure Values: Persistence, Creativity, Teamwork, Ownership, and Customer-first.

⛳️ Requirements

• A minimum of 8 years of relevant experience in technology, solution design, and customer-facing communication.

• Experience in pre-sales or customer-facing technical roles.

• Background in higher education, research computing, academic medical centers, or the public sector.

• Knowledge of HPC and AI environments, including parallel and distributed file systems, GPU-attached storage, schedulers like Slurm, and data pipelines for genomics, imaging, or simulation.

• Extensive technical knowledge across two or more areas: cloud, HPC, AI and machine learning infrastructure, data management, core infrastructure, analytics, or financial and business applications.

• Proven success in selling based on value and linking technology to business, operational, and financial outcomes.

• Capability to communicate effectively with engineers, architects, executives, data scientists, researchers, finance teams, and procurement personnel.

• Ability to navigate ambiguity and possess the judgment to question assumptions.

• A mindset characterized by curiosity, empathy, an open mind, and a desire for continuous learning.

• Strong verbal and written communication skills.

• Bachelor’s degree in Computer Science, Electrical Engineering, or another technical field, or equivalent experience.

• Preferred but not mandatory: knowledge of storage architectures and file systems; Linux, NFS, and distributed Linux environments; VMware, Ethernet, TCP/IP, and networking; AWS, Azure, or GCP; hybrid or cloud-native architectures; containers, Kubernetes, and microservices; SQL, Oracle, and analytics platforms; experience with grant-funded procurement, consortium purchasing, or public sector contract mechanisms.

🏝️ Benefits

• Potential for incentive pay and/or equity.

• Flexible time off policies.

• Access to wellness resources.

• Company-sponsored team-building events.

• Support for growth and professional development.

• Participation in Employee Resource Groups.

• Accommodations in the hiring process for candidates with disabilities.