Consulting Pre-Sales Systems Engineer, Data Management

Responsibilities

• 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.
• Lead technical discovery sessions to understand customer environments, business drivers, security challenges, compliance requirements, and decision‑making processes.
• Architect and deliver compelling product demonstrations, workshops, executive briefings, and presentations tailored to customer use cases.
• Design, deploy, and manage Proof of Concept (POC) engagements, ensuring successful technical validation, measurable business value, and customer adoption.
• Collaborate closely with Account Executives, Account Managers, specialists, and channel partners to develop technical sales strategies and support complex enterprise sales cycles.
• Translate customer requirements into scalable solution recommendations, including deployment sizing, architectural guidance, and business‑aligned outcomes.
• Connect technology solutions to measurable customer business outcomes, including technical validation, competitive positioning, and TCO considerations.
• Refine sales strategy and take command of technical responsibilities across strategic and complex opportunities.
• Contribute significant portions of, and/or lead, responses to RFPs, RFQs, and RFIs.
• Deliver partner enablement and technical training to resellers, integrators, and strategic alliances.
• Represent the company at customer meetings, industry events, conferences, webinars, trade shows, and executive briefing center engagements.
• Partner with Product Management, R&D, and Marketing teams to communicate customer feedback, product enhancement requests, interoperability opportunities, and market requirements.
• Liaise with product and technical marketing to produce white papers, web presentations, blogs, social posts, and other materials that support overall go‑to‑market plans and objectives.
• Maintain deep awareness of market trends, competitive technologies, and evolving industry landscapes to ensure differentiated solution positioning and promote thought leadership internally and externally.
• Seek out opportunities for interoperability, functional, and performance testing and validation, and promote roadmap and planning exchanges across internal and external stakeholders.
• Serve as the technical solution expert in complex evaluations involving storage, infrastructure, security, and cloud‑related architectures.

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.
• Ability to understand and communicate complex technical architectures to both technical and executive audiences.