Senior Pre-Sales Systems Engineer: Enterprise Storage

Everpure; Newark (NJ); On-site; USD 141,000 - 235,000; Full time

Benefits offered by this job

Equity

Incentive pay

Job summary

Everpure (formerly Pure Storage) seeks a Senior Pre-Sales Systems Engineer to join our team in driving innovation in data storage. You will partner with sales, craft technical solutions, and showcase the value of our products to enterprise customers.

You’ll lead evaluations, deliver compelling technical presentations, and translate customer needs into scalable storage architectures across DAS, NAS, and SAN spaces.

Qualifications

• Pre-sales experience is required.
• 5+ years of relevant experience in enterprise storage, networking, systems, cloud, or software.
• Deep understanding of multi-tiered client/server and web-based solutions.
• Familiarity with modern web architecture (LAMP, scale-out vs scale-up, microservices).
• Experience targeting new prospects and converting them into clients.

Responsibilities

• Understand customer business drivers and decision making.
• Connect technology solutions to measurable customer outcomes.
• Collaborate with account teams to drive revenue growth.
• Demonstrate storage products and architectures in DAS/NAS/SAN spaces.
• Lead evaluations, benchmarks, and system configurations.
• Create technical presentations to win deals with clients.
• Capture requirements and translate them into innovative solutions.
• Stay current with competition and market trends.

Skills

Pre-sales experience

Enterprise storage

Storage architectures

Linux

VMware

Networking basics

Cloud platforms

Kubernetes

RFP/RFQ/RFI responses

Customer-facing

Tools

AWS

Azure

GCP

VMware

Job description

Everpure (formerly Pure Storage) seeks a Senior Pre-Sales Systems Engineer to join our team in driving innovation in data storage. You will partner with sales, craft technical solutions, and showcase the value of our products to enterprise customers.

You’ll lead evaluations, deliver compelling technical presentations, and translate customer needs into scalable storage architectures across DAS, NAS, and SAN spaces.