Sr. Sales Systems Engineer

Overview

Veeam, the #1 global market leader in data resilience, provides data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide. Join us as we move forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

As an Enterprise Pre-Sales Systems Engineer at Veeam, you will act as a trusted technical and strategic advisor to large enterprise customers facing complex data resilience and cyber recovery challenges. You will engage with both technical and executive stakeholders to design secure, resilient, and future-ready architectures across hybrid, multi-cloud, and SaaS environments. This role blends hands-on technical expertise with executive-level influence, driving business outcomes through resilient data platforms.

Location Requirement: Location listed must be in the territory assigned.

Travel: Up to 75% within assigned territory

• 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

• 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

• 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

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. When determining compensation, Veeam considers factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.

In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.

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