# Sales Systems Engineer, Commercial Remote from[USA](https://jobicy.com/job-region/usa.md)Salary, yearly, USD 125,500 - 288,500Department [Software Engineering](https://jobicy.com/categories/engineering.md) Employment type Full Time, Job posted16 Jul 2026Apply before16 Aug 2026Experience level Midweight Views / Applies 37 / 2 [About company](https://jobicy.com/company/veeam-software.md) * Share About [Veeam Software](https://jobicy.com/company/veeam-software.md) Veeam delivers Intelligent Data Management for the Always-On Enterprise. [Computer & Network Security](https://jobicy.com/company-category/computer-network-security.md) * 2006 Actively Hiring Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. ### AI Summary Veeam is seeking a Senior Systems Engineer to support mid-market and commercial customers in a fast-paced pre-sales role. The position involves driving revenue by owning the technical strategy across multiple concurrent sales opportunities, designing resilient solutions, and articulating technical value. Key responsibilities include leading complex sales engagements from discovery to proof-of-concept, advising on data security and emerging technologies, and mentoring team members. The ideal candidate has over 5 years of pre-sales experience and deep expertise in enterprise infrastructure, virtualization, and cloud platforms. Strong communication, ownership, and multitasking skills are essential for success in this customer-facing role. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight The role requires managing multiple concurrent sales cycles with deep technical engagement, demanding a high level of expertise, multitasking, and rapid responsiveness, which justifies a difficulty level of 4. ### Salary Analysis Median Highly Competitive USD207,000US Market USD120k – 280k 0 USD308k AI Insight The offered salary range of $125,500 to $288,500 is competitive for a Senior Sales Systems Engineer, falling within the typical US market range of $120,000 to $280,000 total compensation. The median of $207,000 is attractive and aligns with industry standards for experienced professionals in this role. ### Core Skills Required [Pre-sales Engineering](https://jobicy.com/jobs?search_keywords=Presales+Engineering.md) [Solutions Architecture](https://jobicy.com/jobs?search_keywords=Solutions+Architecture.md) [Data Resilience](https://jobicy.com/jobs?search_keywords=Data+Resilience.md) [Virtualization](https://jobicy.com/jobs?search_keywords=Virtualization.md) [Cloud Platforms](https://jobicy.com/jobs?search_keywords=Cloud+Platforms.md) [Customer Presentations](https://jobicy.com/jobs?search_keywords=Customer+Presentations.md) [Sales Cycle Management](https://jobicy.com/jobs?search_keywords=Sales+Cycle+Management.md) [Mentoring](https://jobicy.com/jobs?search_keywords=Mentoring.md) [Technical Strategy](https://jobicy.com/jobs?search_keywords=Technical+Strategy.md) [Enterprise Infrastructure](https://jobicy.com/jobs?search_keywords=Enterprise+Infrastructure.md) ### Cover Letter Sample I am writing to express my strong interest in the Senior Systems Engineer position at Veeam. With over five years of pre-sales experience and a proven track record of driving revenue through technical strategy and customer engagement, I am confident in my ability to contribute to your team. My expertise in data resilience, virtualization, and cloud platforms aligns perfectly with the demands of this role. I thrive in fast-paced environments, managing multiple complex sales cycles while delivering compelling presentations and demonstrations. I am eager to bring my technical acumen and collaborative spirit to Veeam to help customers accelerate safe AI at scale. Copy ### Sample Interview Questions Describe a complex sales cycle you managed from discovery to closure. What challenges did you face and how did you overcome them?In a previous role, I managed a six-month deal with a large enterprise client that involved multiple stakeholders. The main challenge was aligning the technical requirements of the IT team with the budget constraints of the finance team. I organized regular workshops to demonstrate value, provided a phased implementation plan, and worked with the sales team to structure a flexible pricing model. This resulted in a successful close and a long-term partnership.How do you stay current with emerging technologies like AI and machine learning, and how do you incorporate them into your solutions?I subscribe to industry publications, attend webinars, and participate in hands-on labs. For instance, when advising customers on AI readiness, I assess their data infrastructure and recommend data resilience solutions that ensure trusted data for AI models. I also use analogies to explain complex concepts to non-technical stakeholders.Can you give an example of how you mentored a team member to improve their technical or sales skills?I mentored a junior engineer by pairing them on a proof-of-concept project. We conducted joint discovery calls, and I provided feedback on their technical demos. Over three months, they gained confidence in handling customer objections and successfully led their first independent engagement.How do you prioritize multiple concurrent opportunities in a fast-paced environment?I assess each opportunity based on deal stage, potential revenue, and urgency. I use a CRM to track tasks and set clear milestones. I also communicate regularly with the sales team to align on priorities and reallocate time as needed, ensuring high-impact activities are addressed first.Describe your approach to understanding a customer's business challenges and designing a solution that delivers measurable outcomes.I start with a thorough discovery session to understand their current pain points, infrastructure, and strategic goals. Then I map their challenges to specific technical capabilities, such as data protection or disaster recovery. I present a solution with clear ROI metrics, such as reduced downtime or cost savings, and tailor the proof-of-concept to validate those outcomes. 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 the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. ### About the Role As a Senior Systems Engineer supporting mid‑market and commercial customers, you will play a critical role in driving revenue by owning the technical strategy and execution across multiple concurrent sales opportunities. You will partner closely with sales, channel partners, and technology alliances to understand customer business challenges, design resilient solutions, and clearly articulate differentiated technical value that drives measurable business outcomes. This role requires strong technical fundamentals, confidence engaging in public‑facing and customer‑facing presentations, and a high level of accountability for progressing deals from discovery through technical validation and close. Successful candidates are comfortable operating in a fast‑paced sales environment, balancing depth of technical engagement with responsiveness, prioritization, and execution. ***Seattle, WA location strong preferred*** ### What You’ll Do * 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. * Advise customers on data security, privacy, governance, and regulatory considerations that influence enterprise data protection and IT strategies. * Educate customers on emerging technologies, including AI, machine learning, and large language models (LLMs), and demonstrate how resilient, trusted data enables successful AI and analytics initiatives. * Deliver compelling presentations, product demonstrations, workshops, and technical discussions for audiences ranging from practitioners and architects to executive stakeholders. * Operate with a high degree of ownership and accountability, making sound decisions independently while collaborating effectively on complex or high-impact situations. * Partner closely with sales teams, channel partners, and technology alliances to advance opportunities, generate pipeline, and ensure technical alignment throughout the customer journey. * Mentor and support team members by sharing technical expertise, promoting best practices, and fostering a culture of continuous learning and collaboration. ### What You’ll Bring * 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 manage multiple concurrent sales engagements in a fast‑paced sales environment, balancing deep technical engagement with efficiency, responsiveness, and deal progression. * Proven experience executing complex sales cycles end‑to‑end, including discovery, solution design, technical validation, and proof‑of‑concept (POC) execution, while owning technical outcomes that directly support deal closure. * 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 real‑world customer challenges and business objectives. * Ability to position solutions competitively and articulate differentiated technical value in the context of customer outcomes, cost optimization, risk reduction, and operational resilience. * 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, automation, and AI initiatives. * Strong verbal and written communication skills, with demonstrated experience presenting technical concepts to IT practitioners, architects, and management‑level audiences, including leading customer‑facing presentations, demonstrations, workshops, and public or semi‑public speaking engagements. * Proven ability to operate independently with a high level of ownership and accountability, exercising sound judgment within established frameworks while escalating appropriately for high‑impact or ambiguous decisions. * Collaborative mindset with a track record of partnering closely with sales, channel partners, and technology alliances to advance opportunities, support pipeline generation, and drive technical alignment throughout the sales cycle. * Demonstrated commitment to team development and knowledge sharing, including mentoring junior colleagues through technical guidance, best practices, and leading by example. ### Bonus Skills * 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. #LI-TI1 What you’ll get * Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares * Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents * Medical, dental, and vision coverage starting on your first day * Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program * 401(k) retirement plan with company matching contributions * Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time * AirVet: 24/7 virtual veterinary care at no cost * Legal services, identity protection, and supplemental health insurance options * Tax-advantaged spending accounts for healthcare, dependent care, and commuting * 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, skills, and geographic zone. Offers are typically made below the midpoint of the range. In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off. U.S. Geographic Zones & Compensation Ranges (TTC / OTE)Zone 1: San Francisco Bay Area, New York City Boroughs$173,100—$288,500 USDZone 2: Washington, California (excluding San Francisco Bay Area)$158,700—$264,400 USDZone 3: Texas, Illinois, North Carolina, Colorado, Massachusetts, Pennsylvania, Virginia, Oregon, Nevada, Hawaii, New York (excluding NYC boroughs); Sales roles located in Georgia, Ohio, and Arizona$144,300—$240,400 USDZone 4: All other US locations$125,500—$209,200 USD 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. Personal data collected during the recruitment process will be processed in accordance with our [Recruiting Privacy Notice](https://www.veeam.com/legal/recruiting-privacy-notice.html), which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment. 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