[Remote] Sr. Sales Systems Engineer - TX

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

Company H1B Sponsorship