Veeam Software
Sales Systems Engineer, Commercial
USARemotePosted Today$125,500 – $288,500
Full TimeSeniorRemoteUS
See how this job matches your profile
Sign in for an AI-powered fit score, breakdown, and a tailored resume.
Job Description
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 t
Key Highlights
- Partner with mid-market and enterprise customers as a trusted technical advisor throughout the sales cycle, delivering solution architecture, technical guidance, and pre-sales engineering expertise.
- Manage multiple concurrent opportunities in a fast-paced environment, balancing deep technical engagement with responsiveness and efficient deal progression.
- Lead complex sales engagements from discovery through solution design, technical validation, and proof-of-concept (POC) execution, driving successful technical outcomes that support deal closure.
- Apply expertise across enterprise infrastructure, including data resilience, virtualization, cloud platforms, networking, security, and modern IT architectures to solve customer challenges.
- Demonstrate and articulate the business and technical value of proposed solutions, helping customers improve operational resilience, reduce risk, optimize costs, and achieve strategic objectives.
Qualifications
Preferred Qualifications
- Containerized and cloud‑native application platforms, including Kubernetes environments and considerations for data protection, backup, and recovery of containerized workloads.
- SaaS application data resilience (e.g., Microsoft 365, Salesforce, and other enterprise SaaS platforms), including understanding shared responsibility models and common recovery use cases.
- API‑driven automation and scripting, including familiarity with REST APIs, basic scripting (PowerShell, Python), or infrastructure‑as‑code concepts used to improve consistency and efficiency.
- Cyber recovery and resilience concepts, including isolated recovery environments, clean‑room architectures, ransomware recovery workflows, and validation of restored data.
- Data governance and policy‑driven protection models, including data classification, retention policies, and alignment with security and compliance requirements.
- Containerized and cloud‑native application platforms, including Kubernetes environments and considerations for data protection, backup, and recovery of containerized workloads.
- SaaS application data resilience (e.g., Microsoft 365, Salesforce, and other enterprise SaaS platforms), including understanding shared responsibility models and common recovery use cases.
- API‑driven automation and scripting, including familiarity with REST APIs, basic scripting (PowerShell, Python), or infrastructure‑as‑code concepts used to improve consistency and efficiency.
- Cyber recovery and resilience concepts, including isolated recovery environments, clean‑room architectures, ransomware recovery workflows, and validation of restored data.
- Data governance and policy‑driven protection models, including data classification, retention policies, and alignment with security and compliance requirements.
Skills & Technologies
GoMachine LearningKubernetesPython
About the Company
Veeam Software
View company profile →
Interested in this role?
Sign in or create a free account to see how this job matches your skills, apply with one click, and let our AI tailor your resume.
Sign in to applyAI-powered resume optimization
Save and track your applications
Job Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
$125,500 – $288,500
Location
USA
Work Mode
Remote
Posted
Today
Country
US