Note: The job is a remote job and is open to candidates in USA. Veeam Software is the Data and AI Trust Company, specializing in data resilience and security. As a Sr. Sales Systems Engineer, you will act as a trusted advisor to enterprise customers, helping them design secure and resilient data platforms while engaging with various stakeholders to influence technology decisions.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, and vision coverage starting on your first day
- Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
- 401(k) retirement plan with company matching contributions
- Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
- AirVet: 24/7 virtual veterinary care at no cost
- Legal services, identity protection, and supplemental health insurance options
- Tax-advantaged spending accounts for healthcare, dependent care, and commuting
- 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
Company Overview
Veeam provides data resilience and data management solutions for cloud, virtual, and physical environments. It was founded in 2006, and is headquartered in Columbus, Ohio, USA, with a workforce of 5001-10000 employees. Its website is http://www.veeam.com.Company H1B Sponsorship
Veeam Software has a track record of offering H1B sponsorships, with 2 in 2025, 1 in 2024, 2 in 2022. Please note that this does not guarantee sponsorship for this specific role.