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Sr. Sales Systems Engineer

3 hours, 40 minutes ago
United States
Full-time
Senior
Sales Engineer
Customer and Technical Support
AWS Azure DNS GCP Kubernetes Linux LLM Load Balancing Machine Learning Salesforce TCP/IP
Apply Now
Veeam Software

Veeam Software

Veeam Software is the global leader in Backup that delivers Modern Data Protection, offering solutions for virtual environments, enterprises, small businesses, and service providers worldwide.

Internet Software & Services
1K-5K
Founded 2006
$500M raised
View All Jobs 184

Description

  • Lead complex pre-sales engagements, including discovery, architecture design, solution positioning, and technical validation.
  • Serve as a trusted technical advisor to IT practitioners, engineers, architects, senior IT leaders, and executives.
  • Translate business objectives into secure, resilient, and scalable technical architectures.
  • Deliver technical demonstrations and executive presentations that communicate business value, cyber risk reduction, and operational outcomes.
  • Design and manage proofs-of-concept through technical closure, aligned to customer success criteria.
  • Collaborate with customers and partners on strategies for data resilience, ransomware recovery, compliance, and hybrid-cloud adoption.
  • Create tailored proposals and contribute to enterprise RFP and RFx responses.
  • Stay current on industry trends, emerging threats, and competitive positioning.
  • Partner with sales, product management, engineering, and ecosystem partners to influence solution architecture and product direction.

Requirements

  • 5+ years of experience in pre-sales systems engineering, solutions architecture, or similar technical leadership roles in large enterprise environments.
  • Proven success leading complex, multi-stakeholder sales cycles, including discovery, solution design, POCs, and executive engagements.
  • Strong technical background in data resilience, infrastructure platforms, virtualization, cloud services, networking, and security.
  • Working knowledge of data security, privacy, governance, and enterprise regulatory/compliance considerations.
  • Foundational understanding of AI, machine learning, and large language models (LLMs).
  • Excellent verbal and written communication skills, with public presentation experience for executive and technical audiences.
  • Self-motivated and able to learn quickly, adapt, and work effectively in fast-moving enterprise environments.
  • Experience with AWS, Microsoft Azure, and Google Cloud Platform is preferred.
  • Working knowledge of Linux and Windows administration, troubleshooting, and performance considerations is preferred.
  • Hands-on experience with VMware vSphere, Microsoft Hyper-V, Nutanix AHV, enterprise storage, IAM, and Kubernetes is preferred.
  • Prior experience with data protection, cyber resilience, or enterprise infrastructure vendors is preferred.
  • Relevant technical or industry certifications in cloud, security, or architecture are preferred.
  • Knowledge of networking fundamentals such as TCP/IP, DNS, routing, firewalls, and load balancing is preferred.
  • Experience with observability tools, API-driven automation, scripting, infrastructure-as-code, cyber recovery, clean-room architectures, SaaS data resilience, and data governance is preferred.

Benefits

  • Unlimited paid time off, 12 paid holidays, plus 4 additional global VeeaMe Days and 24 paid volunteer hours annually.
  • Paid parental leave of 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.
  • Legal services, identity protection, and supplemental health insurance options.
  • Tax-advantaged spending accounts for healthcare, dependent care, and commuting.
  • Learning and development opportunities through LinkedIn Learning, O’Reilly, mentoring, workshops, and annual Global Day of Learning.
  • Competitive compensation with a performance-based bonus and U.S. geographic pay ranges of $146,400–$375,100 USD depending on location.

Interested in this position?

Apply directly on the company website

Apply Now

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