Sales Systems Engineer II
$115,400–$192,300 year
On-siteAlpharetta, Georgia, United States
Job Summary
Lead complex pre-sales engagements by conducting discovery, designing solution architecture, and performing technical validation for enterprise customers. Act as a trusted advisor to C-level executives and architects, translating business objectives into secure, resilient data platforms. Deliver executive presentations and manage proof-of-concepts from technical closure, while collaborating with sales and partners to define strategies for hybrid-cloud and multi-cloud environments. Create tailored proposals for enterprise-scale RFPs and maintain awareness of industry trends to influence product direction. Operate independently across discovery, solution design, and POC activities to drive deal momentum for mid-market to enterprise clients.
Required Qualifications
- 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
- Preference is local to the Alpharetta, GA office
- Up to 20% within assigned territory
Desired Qualifications
- 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
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