Sr. Sales Systems Engineer - TX

About the role

As an Enterprise Pre-Sales Systems Engineer at Veeam, you will serve as a trusted technical and strategic advisor to enterprise customers as they navigate some of their most critical technology decisions. You will engage with a wide range of stakeholders — including executives, senior IT leadership, architects, engineers, and IT practitioners — to help them design resilient, secure, and future-ready data platforms that deliver real business outcomes.

What You’ll Do

• 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.
• 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.

What You’ll Bring

• 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.