About the role
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 at scale. As 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.
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 some of their most critical technology decisions. You will engage with a wide range of stakeholders — including C-level executives, senior IT leadership, enterprise architects, engineers, and IT practitioners — helping them design resilient, secure, and future-ready data platforms that support 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 executive 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. Location Requirement: Preference is local to the Alpharetta, GA office. Travel: Up to 20% within assigned territory 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 enterprise-scale 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. Technologies You’ll Work With Hybrid Cloud, Multi-Cloud & SaaS Platforms, Virtualization Technologies, Enterprise Storage Systems, Cyber Resilience & Data Protection Technologies What You’ll Bring 5+ years of experience in pre-sales systems engineering, solutions architecture, or related technical customer-facing roles, supporting Mid-Market to Enterprise customers. Demonstrated ability to proactively own technical execution for assigned sales opportunities, driving progress across discovery, solution design, technical validation, and proof-of-concept (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. Preferred