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Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world’s biggest brands. The future of data resilience is here - go fearlessly forward with us.
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 deeply 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 real business outcomes through resilient data platforms.
Territory Coverage
Enterprise como COM-Named in Brazil.
What You’ll Do
- 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
- 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
Bonus Skills
- 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
What You’ll Get
- 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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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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