Posted May 26, 2026
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. #### What You’ll Do
As a Pre-Sales Systems Engineer, you influence decisions that directly affect business continuity, cyber recovery readiness, regulatory posture, and long-term digital transformation. Your work enables organizations to recover faster, operate with confidence, and safely use their data across cloud and platform ecosystems — even under the most challenging conditions. - Lead complex pre-sales engagements, including discovery, architecture design, solution positioning, and technical validation. - Act as a trusted advisor to IT practitioners, engineers, architects, and senior leaders by translating business objectives into secure, resilient, and scalable architectures. - Deliver compelling technical demonstrations and decision-maker presentations that clearly articulate business value, cyber risk reduction, and operational outcomes. - Design and manage proofs-of-concept (POCs) to technical closure, aligned to customer success criteria and operational realities. - Collaborate with customers and partners to define architectural strategies supporting data resilience, ransomware recovery, compliance, and hybrid-cloud adoption. - Create tailored proposals and contribute to enterprise-scale RFP and RFx responses. - Maintain strong awareness of industry trends, emerging threats, and competitive positioning to effectively represent Veeam in business discussions. - Partner closely with sales, product management, engineering, and ecosystem partners to influence solution architecture and product direction. ####
5+ years of experience in pre-sales systems engineering, solutions architecture, or similar technical leadership roles, with a strong focus on large enterprise environments. - Proven success leading complex, multi-stakeholder sales cycles, including discovery, solution design, POCs, and executive-level engagements. - Strong technical background across data resilience, infrastructure platforms, virtualization, cloud services, networking, and security. - Working knowledge of data security, privacy, and governance, including regulatory and compliance considerations relevant to enterprise customers. - Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to articulate how trusted, resilient data underpins AI initiatives. - Excellent verbal and written communication skills, with proven public presentation experience delivering compelling messages to executives, senior IT leadership, and large technical or industry audiences. - Self-motivated, high-energy technologist who can learn quickly, adapt, and operate effectively in fast-moving enterprise environments. #### Bonus Skills
Experience with cloud and SaaS platforms, including AWS, Microsoft Azure, and Google Cloud Platform. - Strong working knowledge of Linux and Windows operating systems, including administration, troubleshooting, and performance considerations in enterprise deployments. - Solid understanding of networking fundamentals and architectures, including TCP/IP, DNS, routing, firewalls, load balancing, and network security concepts as they relate to data protection and recovery. - Hands-on experience across enterprise infrastructure domains such as virtualization platforms (VMware vSphere, Microsoft Hyper-V, Nutanix AHV), enterprise storage platforms, identity and access management, and Kubernetes-based environments commonly found in modern hybrid and multi-cloud architectures. - Prior experience with data protection, cyber resilience, or enterprise infrastructure vendors. - Relevant technical or industry certifications (cloud, security, architecture). - Observability, monitoring, and operational tooling that supports resilience and recovery workflows
Containerized and cloud-native application platforms, including Kubernetes data protection and recovery considerations
SaaS application data resilience (e.g., Microsoft 365, Salesforce, and other enterprise SaaS services)
API-driven automation, scripting, and infrastructure-as-code concepts
Cyber recovery and clean-room architectures
Data governance, classification, and policy-driven protection models
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What you'll get
Compensation Transparency
Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration 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. **U.S. All your information will be kept confidential. Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice. The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes. By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice. By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
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