Senior Pre-Sales Systems Engineer, Higher Education

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

📋 Description

• Gain insights into the research priorities, funding schedules, constraints, and key decision-makers of each institution.

• Link the Everpure portfolio and the wider ecosystem to quantifiable research and institutional achievements.

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

• Develop comprehensive technical and financial business cases, which include total cost of ownership, power and cooling needs, data center footprint, and staffing requirements.

• Facilitate research workloads from instrument output and sequencer data through HPC and AI pipelines to long-term data retention and archiving.

• Provide guidance on the data lifecycle, retention strategies, reproducibility, expectations from sponsors and funding agencies, governance, and security standards such as NIST 800-171 and CMMC.

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

• Manage evaluations, benchmarks, proofs of concept, and system configurations to achieve technical victories.

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

• Draft responses to RFIs, RFPs, and RFQs.

• Stay informed about competitive, market, and research computing developments.

• Exemplify leadership in alignment with the Pure Values.

⛳️ Requirements

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

• Experience in pre-sales or technical roles that involve direct customer interaction.

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

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

• Extensive technical expertise in at least two areas: cloud, HPC, AI and machine learning infrastructure, data management, core infrastructure, analytics, or financial and business applications.

• Proven ability to sell based on value and connect technology with business, operational, and financial outcomes.

• Competence in effectively communicating with engineers, architects, executives, data scientists, researchers, finance teams, and procurement personnel.

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

• A sense of curiosity, empathy, an open mindset, and a commitment to continuous learning.

• Strong verbal and written communication skills.

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

🏝️ Benefits

• Flexible time off.

• Wellness resources.

• Company-sponsored team events.

• Support for growth and development.

• Employee Resource Groups.

• Accommodations in the hiring process for candidates with disabilities.