Senior Sales Systems Engineer (South Atlantic)

United States of Americafull timeRemote

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senior

$211k–$391k

H1B: no

Veeam Software The Senior Sales Systems Engineer acts as a trusted technical advisor for enterprise customers, designing secure and resilient data architectures across hybrid, multi-cloud, and SaaS environments. This role leads complex pre-sales engagements and delivers technical demonstrations and POCs.

Responsibilities

Lead complex enterprise pre-sales engagements, including discovery, solution design, architecture validation, and technical closure
Translate business objectives into secure, scalable, and resilient technical architectures for enterprise customers
Deliver high-impact technical demonstrations and executive-level presentations focused on business value and cyber risk reduction
Design, manage, and execute proof-of-concepts (POCs) aligned to customer success criteria and operational realities
Collaborate with sales teams, partners, product management, and engineering to influence solution architecture and customer outcomes
Technologies You’ll Work With
Hybrid Cloud, Multi-Cloud & SaaS Platforms, Virtualization Technologies, Enterprise Storage Systems, Cyber Resilience & Data Protection Technologies
What You’ll Bring
10+ years of experience in pre-sales engineering, solutions architecture, or senior technical leadership roles within enterprise environments
Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to articulate how trusted, resilient data underpins AI initiatives.
Proven success leading complex, multi-stakeholder sales cycles including discovery, solution design, POCs, and executive engagements
Strong technical foundation across data resilience, infrastructure platforms, cloud services, networking, and security

Qualification

Foundational understanding of AIProven success leading complexSolid understanding of data security

Required

10+ years of experience in pre-sales engineering, solutions architecture, or senior technical leadership
Foundational understanding of AI, machine learning, and large language models (LLMs)
Proven success leading complex, multi-stakeholder sales cycles
Strong technical foundation across data resilience, infrastructure platforms, cloud services, networking, and security
Solid understanding of data security, privacy, governance, and regulatory considerations
Excellent communication and presentation skills