Velocity Pre-Sales Systems Engineer

About the Role

As a Velocity Pre-Sales Systems Engineer at Veeam, you will serve as a trusted technical and strategic advisor to enterprise customers navigating critical technology decisions. You will help design secure, resilient data platforms that enable safe AI at scale across on-premises, hybrid, multi-cloud, and SaaS environments.

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 executive-level presentations that clearly articulate business value, cyber risk reduction, and operational outcomes.

• Design and manage proof-of-concepts (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 RFP and RFx responses.

• Maintain strong awareness of industry trends, emerging threats, and competitive positioning to effectively represent Veeam in enterprise discussions.

• Partner closely with sales, product management, engineering, and ecosystem partners to influence solution architecture and product direction.

• What We're Looking For

• 5+ years of experience in pre-sales systems engineering, solutions architecture, or related technical customer-facing roles, supporting SMB to Mid-Market customers.

• Demonstrated ability to proactively own technical execution for assigned sales opportunities, driving progress across discovery, solution design, technical validation, and POC activities.

• Proven experience managing multiple concurrent technical engagements, balancing depth of technical involvement with responsiveness, prioritization, and consistent deal momentum.

• Strong foundational technical background across enterprise infrastructure domains, including data resilience, compute and virtualization platforms, cloud services, networking, and security, with the ability to apply this knowledge to customer challenges and business objectives.

• Ability to identify technical risks, gaps, and dependencies early, and work collaboratively with sales and internal teams to address them and keep opportunities moving forward.

• Working knowledge of data security, privacy, governance, and regulatory considerations that influence enterprise IT and data protection strategies.

• Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to explain how trusted, resilient, and well-governed data enables modern analytics and AI initiatives.

• Strong verbal and written communication skills, with the ability to lead customer-facing technical discussions, presentations, demonstrations, and workshops for IT practitioners, architects, and management-level audiences.

• Proven ability to operate independently, exercising sound judgment within established frameworks while consulting appropriately on higher-impact or ambiguous decisions.

• Collaborative and proactive mindset, with experience partnering closely with sales and cross-functional teams to advance opportunities, improve processes, and support consistent execution.

• Demonstrated commitment to team development, including mentoring junior colleagues through technical guidance, knowledge sharing, and leading by example.

• Nice to Have

• Experience working with public cloud and SaaS platforms such as Microsoft Azure, AWS, or Google Cloud Platform, including exposure to hybrid and multi-cloud architectures.

• Working knowledge of Linux and Windows operating systems, including basic administration, troubleshooting, and performance considerations in enterprise environments.

• Foundational understanding of networking concepts such as TCP/IP, DNS, routing, firewalls, and network security principles as they relate to availability, data protection, and recovery.

• Hands-on exposure to enterprise infrastructure technologies, including virtualization platforms (VMware vSphere, Microsoft Hyper-V).