Consulting Pre-Sales Systems Engineer, Data Management

Role Overview

The Consulting Systems Engineer on our data management team provides strategic and tactical pre-sales leadership in support of the sales organization. This role is responsible for delivering technical expertise throughout the customer journey, including solution design, technical discovery, demonstrations, proof-of-concept execution, partner enablement, and technical validation.

What You Will Do

Serve as a technical advisor and trusted partner to enterprise customers, prospects, and channel partners throughout the sales process. Act as a role model and mentor for other Systems Engineers while providing technical leadership in partnership with sales engineering management.

Why It Might Be a Fit

The ideal candidate combines deep data management expertise with strong business acumen and executive presence. They are comfortable navigating complex enterprise sales cycles, engaging technical and business stakeholders, and translating customer challenges into innovative solutions.

Requirements

• BS in Computer Science, Electrical Engineering, or another technical discipline, and/or equivalent practical experience
• 8+ years of relevant experience in pre-sales, sales engineering, solutions architecture, or related customer-facing technical roles
• Experience supporting the sales of enterprise cybersecurity, storage, networking, systems, cloud, or software solutions to enterprise accounts
• Expertise in leading technical sales motions across discovery, solution design, demonstrations, proof-of-concept execution, and technical validation
• Deep understanding of enterprise architecture, design, and implementation across multi-tiered client/server, distributed, web-based, cloud, and hybrid computing solutions
• Strong knowledge of cybersecurity, data protection, governance, privacy, risk management, and security operations concepts
• Strong knowledge of current and emerging storage and infrastructure architectures, including FC, iSCSI, NAS, OSD, SAN, virtualization, and distributed environments
• Experience with cloud and hybrid infrastructure environments, including AWS, Azure, GCP, and VMware
• Knowledge of Linux, NFS file systems, distributed network environments, and general systems architecture
• Strong networking and infrastructure knowledge, including Ethernet, TCP/IP, and local area networking
• Familiarity with modern web and cloud-native architectures, including LAMP stack, scale-out vs. scale-up, microservices, containers, and Kubernetes
• Experience with scripting and automation technologies, including Python

Benefits

• Flexible time off
• Wellness resources
• Company-sponsored team events