Sales Systems Engineer II

Veeam Software • Alpharetta, GA

2d • $96,100 - $160,100

About The Position

Veeam is hiring a Sales Systems Engineer II to serve as a trusted technical and strategic advisor to enterprise customers making critical technology decisions. The role works with stakeholders ranging from executives and senior IT leaders to architects, engineers, and practitioners to design resilient, secure, and future-ready data platforms tied to business outcomes.

The position combines technical design and architecture with strategic customer engagement around data resilience, cyber recovery, risk reduction, and modernization. The engineer helps customers modernize across on-premises, hybrid, multi-cloud, and SaaS environments, making data resilience, security, and governance foundational to their solutions. Preference is for candidates local to Veeam’s Alpharetta, Georgia office. Travel is up to 20% within the assigned territory.

The role works with hybrid cloud, multi-cloud and SaaS platforms, virtualization technologies, enterprise storage systems, and cyber resilience and data protection technologies. Compensation is provided as total target compensation (TTC), or on-target earnings (OTE) for roles with a commission plan. The listed ranges vary by U.S. geographic zone; Georgia sales roles are included in Zone 3, with a range of $96,100–$160,100 USD.

Requirements

• At least 5 years of experience in pre-sales systems engineering, solutions architecture, or a related customer-facing technical role supporting SMB to Mid-Market customers.
• Demonstrated ability to own technical execution for assigned sales opportunities across discovery, solution design, technical validation, and POC activities.
• Experience managing multiple concurrent technical engagements and balancing technical involvement, responsiveness, prioritization, and deal momentum.
• Strong foundational technical background in enterprise infrastructure, including data resilience, compute and virtualization platforms, cloud services, networking, and security.
• Ability to apply technical knowledge to customer challenges and business objectives.
• Ability to identify technical risks, gaps, and dependencies and collaborate to resolve them.
• Working knowledge of data security, privacy, governance, and regulatory considerations affecting enterprise IT and data protection strategies.
• Foundational understanding of AI, machine learning, and large language models (LLMs), and how trusted, resilient, well-governed data enables analytics and AI initiatives.
• Strong verbal and written communication skills for customer-facing technical discussions, presentations, demonstrations, and workshops with practitioners, architects, and management audiences.
• Ability to operate independently and exercise sound judgment within established frameworks, consulting appropriately on higher-impact or ambiguous decisions.
• Collaborative and proactive approach, including experience partnering with sales and cross-functional teams.
• Commitment to team development, including mentoring junior colleagues.
• Willingness to travel up to 20% within the assigned territory.

Nice To Haves

• Experience with public cloud and SaaS platforms such as Microsoft Azure, AWS, or Google Cloud Platform, including hybrid and multi-cloud architectures.
• Working knowledge of Linux and Windows administration, troubleshooting, and enterprise performance considerations.
• Foundational networking knowledge, including TCP/IP, DNS, routing, firewalls, and network security principles.
• Hands-on exposure to virtualization platforms such as VMware vSphere, Microsoft Hyper-V, and Nutanix AHV; enterprise storage; identity and access management; and Kubernetes or container platforms.
• Experience supporting POCs, technical validations, or customer workshops in complex, multi-stakeholder sales engagements.
• Familiarity with data protection, cyber resilience, or enterprise infrastructure solutions through pre-sales, implementation, or operational experience.
• Awareness of observability, monitoring, and operational tooling for resilience, recovery, and operational readiness.
• Relevant technical or industry certifications in cloud, security, infrastructure, or architecture, or active pursuit of certification.
• Exposure to containerized and cloud-native application platforms, including Kubernetes and data protection, backup, and recovery considerations.
• Experience with SaaS application data resilience, such as Microsoft 365 or Salesforce, shared responsibility models, and common recovery use cases.
• Familiarity with REST APIs, basic scripting such as PowerShell or Python, or infrastructure-as-code concepts.
• Knowledge of cyber recovery concepts, including isolated recovery environments, clean-room architectures, ransomware recovery workflows, and restored-data validation.
• Knowledge of data governance and policy-driven protection, including data classification, retention policies, and security and compliance alignment.

Responsibilities

• Lead complex pre-sales engagements, including discovery, architecture design, solution positioning, and technical validation.
• Advise IT practitioners, engineers, architects, and senior leaders by translating business objectives into secure, resilient, and scalable architectures.
• Deliver technical demonstrations and executive-level presentations that explain business value, cyber risk reduction, and operational outcomes.
• Design and manage proof-of-concepts (POCs) through technical closure, aligned with customer success criteria and operational realities.
• Collaborate with customers and partners on architectural strategies for data resilience, ransomware recovery, compliance, and hybrid-cloud adoption.
• Create tailored proposals and contribute to RFP and RFx responses.
• Maintain awareness of industry trends, emerging threats, and competitive positioning for enterprise customer discussions.
• Partner with sales, product management, engineering, and ecosystem partners to influence solution architecture and product direction.
• Proactively own technical execution for assigned sales opportunities, advancing discovery, solution design, technical validation, and POC activities.
• Manage concurrent technical engagements while balancing technical depth, responsiveness, prioritization, and deal momentum.
• Identify technical risks, gaps, and dependencies early, and work with sales and internal teams to address them.
• Mentor junior colleagues through technical guidance, knowledge sharing, and leading by example.

Benefits

• Unlimited paid time off.
• 12 paid holidays, including 4 global VeeaMe Days for self-care.
• 24 paid volunteer hours annually through Veeam Cares.
• Paid parental leave: 8 weeks for all parents and 16 weeks for birthing parents.
• Medical, dental, and vision coverage starting on the first day.
• Mental health support, therapy sessions, and digital wellness tools through the Employee Assistance Program.
• 401(k) retirement plan with company matching contributions.
• Fertility, adoption, and surrogacy support through Maven.
• 24/7 virtual veterinary care at no cost through AirVet.
• Legal services, identity protection, and supplemental health insurance options.
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting.
• Learning and growth opportunities through on-demand learning libraries, mentoring, workshops, and learning events.
• Comprehensive health coverage and retirement plans.
• Pay transparency.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed