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.
About the role:
As an Senior Sales Systems Engineer - Enterprise 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 work closely with Enterprise Account Managers to evangelise Veeam’s product offerings to enterprise customers, engaging deeply with both technical and executive stakeholders to design secure, resilient, and future-ready architectures across hybrid, multi-cloud, and SaaS environments. This position requires travel within the region of responsibility (Nordics), up to 50%.
What You’ll Do
- Lead complex enterprise pre-sales engagements, including discovery, solution design, architecture validation, and technical closure.
- Deliver web-based and on-site demonstrations of the Veeam product portfolio, including 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
- Translate business objectives into secure, scalable, and resilient technical architectures for enterprise customers (hybrid, multi-cloud, SaaS).
- Work with sales to help secure and grow business with new and existing large end-user enterprise customers; engage Cloud and Hosting Providers where relevant to enterprise outcomes.
- Together with sales colleagues, build and maintain relationships with enterprise customers and key stakeholders.
- Provide input for and participate in Veeam marketing events.
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.
- 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.
- Ability to learn new technologies quickly.
- Practical knowledge of VMware and Microsoft virtualisation technologies in large environments and virtualisation management solutions (e.g., vRealize Operations, System Center).
- Knowledge and experience of Microsoft Azure and AWS; comfortable positioning and engaging in discussions around cloud technologies.
- Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to articulate how trusted, resilient data underpins AI initiatives.
- Language Skills: English and Swedish.
- Flexible approach to travel within the Nordics (up to 50% of working time).
Bonus Skills
- 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.
- VMCE (or within 6 months)
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.
- 30 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares.
- Private health insurance with priority access to treatment.
- Life insurance with enhanced coverage and child benefit.
- Disability insurance after 90 days of illness.
- Accident insurance covering work and commute.
- Supplemental pension with employer contribution.
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning.
Please note: If an applicant is permanently located outside of Sweden, Veeam reserves the right to decline the application for this position. #LI-MM1 #LI-REMOTE
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. 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.
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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.
