Senior Sales Systems Engineer - Montreal, Canada

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle ...

Job description

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world's biggest brands. The future of data resilience is here - go fearlessly forward with us.

About the Role

As a Commercial Pre-Sales Systems Engineer at Veeam, you will serve as a trusted technical and strategic advisor to enterprise customers as they navigate some of their most critical technology decisions. You will engage with a wide range of stakeholders — including executives, senior IT leadership, architects, engineers, and IT practitioners — to help them design resilient, secure, and future-ready data platforms that deliver real business outcomes.

This role is built for a technologist who thrives on complexity, curiosity, and impact. You will operate at the intersection of technology strategy, architecture, and real-world operations — engaging deeply in technical design while also influencing business conversations around data resilience, cyber recovery, risk reduction, and modernization. Your ability to connect technical depth with business relevance is what earns trust and drives meaningful change.

You will help customers modernize across on-premises, hybrid, multi-cloud, and SaaS environments, ensuring data resilience, security, and governance are foundational to everything they build.

What You'll Do

As an Commercial Pre-Sales Systems Engineer, you influence decisions that directly affect business continuity, cyber recovery readiness, regulatory posture, and long-term digital transformation. Your work enables organizations to recover faster, operate with confidence, and safely use their data across cloud and platform ecosystems — even under the most challenging conditions.

• 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 decision-maker presentations that clearly articulate business value, cyber risk reduction, and operational outcomes.
• Design and manage proofs-of-concept (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 business discussions.
• Partner closely with sales, product management, engineering, and ecosystem partners to influence solution architecture and product direction.

What You'll Bring

• 5+ years of experience in pre-sales systems engineering, solutions architecture, or similar technical leadership roles, with a strong focus on large enterprise environments.
• Proven success leading complex, multi-stakeholder sales cycles, including discovery, solution design, POCs, and executive-level engagements.
• Strong technical background across data resilience, infrastructure platforms, virtualization, cloud services, networking, and security.
• Working knowledge of data security, privacy, and governance, including regulatory and compliance considerations relevant to enterprise customers.
• Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to articulate how trusted, resilient data underpins AI initiatives.
• Excellent verbal and written communication skills, with proven public presentation experience delivering compelling messages to executives, senior IT leadership, and large technical or industry audiences.
• Self-motivated, high-energy technologist who can learn quickly, adapt, and operate effectively in fast-moving enterprise environments.

Bonus Skills

• Experience with cloud and SaaS platforms, including AWS, Microsoft Azure, and Google Cloud Platform.
• Strong working knowledge of Linux and Windows operating systems, including administration, troubleshooting, and performance considerations in enterprise deployments.
• Solid understanding of networking fundamentals and architectures, including TCP/IP, DNS, routing, firewalls, load balancing, and network security concepts as they relate to data protection and recovery.
• Hands-on experience across enterprise infrastructure domains such as virtualization platforms (VMware vSphere, Microsoft Hyper-V, Nutanix AHV), enterprise storage platforms, identity and access management, and Kubernetes-based environments commonly found in modern hybrid and multi-cloud architectures.
• Prior experience with data protection, cyber resilience, or enterprise infrastructure vendors.
• Relevant technical or industry certifications (cloud, security, architecture).
• Observability, monitoring, and operational tooling that supports resilience and recovery workflows
• Containerized and cloud-native application platforms, including Kubernetes data protection and recovery considerations
• SaaS application data resilience (e.g., Microsoft 365, Salesforce, and other enterprise SaaS services)
• API-driven automation, scripting, and infrastructure-as-code concepts
• Cyber recovery and clean-room architectures
• Data governance, classification, and policy-driven protection models

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What you'll get

• Up to 25 vacation day, 12 paid holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 3 weeks for all parents, 12 weeks for birthing parents
• Medical, dental, and vision coverage from day one
• Mental health support, therapy sessions, and digital wellness tools
• RRSP retirement plan with matching contributions
• Fertility support, plus 24 paid volunteer hours through Veeam Cares
• AirVet: 24/7 virtual veterinary care at no cost
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O'Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Compensation Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, and skills. Offers are typically made below the midpoint of the range.

Pay Range $177,800—$330,100 CAD

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.  

The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes. 

By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.

By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.