Internship R Programming Language Jobs in Gainesville, GA

Job Summary:
Veeam Software is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient. As a Velocity Pre-Sales Systems Engineer, you will serve as a trusted technical advisor to enterprise customers, guiding them in designing secure and resilient data platforms while engaging with various stakeholders.
Responsibilities:
• 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.
Qualifications:
Required:
• 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:
• 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, Nutanix AHV), enterprise storage systems, identity and access management solutions, and Kubernetes or container-based platforms used in modern application environments.
• Experience supporting proof-of-concept (POC) activities, technical validations, or customer workshops as part of 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 used to support system resilience, recovery, and operational readiness.
• Relevant technical or industry certifications (cloud, security, infrastructure, or architecture), or active pursuit of certification.
Company:
Veeam provides data resilience and data management solutions for cloud, virtual, and physical environments. Founded in 2006, the company is headquartered in Columbus, USA, with a team of 5001-10000 employees. The company is currently Late Stage.