Senior Sales Systems Engineer (South Atlantic)

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

• 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

Hybrid Cloud, Multi-Cloud & SaaS Platforms, Virtualization Technologies, Enterprise Storage Systems, Cyber Resilience & Data Protection Technologies

• The opportunity to work on mission-critical data resilience and cyber recovery challenges for enterprise customers
• High impact and visibility influencing enterprise architecture and executive decision-making
• Collaboration with experienced engineers, architects, product leaders, and sales professionals
• A fast-paced, innovative environment that values curiosity, autonomy, and continuous learning
• The ability to shape the future of data resilience across hybrid, multi-cloud, and SaaS ecosystems

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• 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
• Solid understanding of data security, privacy, governance, and regulatory considerations for enterprise customers
• Excellent communication and presentation skills, with the ability to engage C-level executives and senior IT leaders

• Experience with public cloud platforms such as AWS, Microsoft Azure, or Google Cloud
• Hands-on knowledge of Windows and Linux operating systems in enterprise deployments
• Experience with virtualization platforms such as VMware vSphere, Hyper-V, or Nutanix AHV
• Familiarity with Kubernetes, containerized workloads, and cloud-native data protection
• Background working with data protection, cyber resilience, or enterprise infrastructure vendors