Sr. Sales Systems Engineer - TX

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI  the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running.

Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

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.

This role is built for a technologist who thrives on complexity, curiosity, and impact. You will operate at the intersection of technology strategy, architecture, and real‑world operations — engaging deeply in technical design while also influencing business conversations around data resilience, cyber recovery, risk reduction, and modernization. Your ability to connect technical depth with business relevance is what earns trust and drives meaningful change.

You will help customers modernize across on‑premises, hybrid, multi‑cloud, and SaaS environments, ensuring data resilience, security, and governance are foundational to everything they build.

• 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.

• 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…