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Sales Systems Engineer Jobs (NOW HIRING)

Veeam Software

Sales Systems Engineer

Des Moines, IA · Remote

As a Commercial Pre-Sales Systems Engineer at Veeam, you will act as a trusted technical and strategic advisor to commercial and public sector customers as they make critical technology decisions ...

Nokia

Principal Sales Systems Engineer

As a Principal Sales Systems Engineer at Nokia, you will be an essential part of our U.S. Sales Team, acting as the technical expert who collaborates closely with Account Managers to deliver ...

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$59K

$103.5K

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How much do sales systems engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for sales systems engineer in the United States is $103,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $123,000.00 per year, depending on experience, location, and employer.

What is a Sales Systems Engineer?

A Sales Systems Engineer is a technical professional who works closely with sales teams to understand customer needs and design tailored technology solutions. They bridge the gap between technical products or services and potential clients, often providing product demonstrations, technical presentations, and pre-sales support. Their goal is to ensure that the solutions offered meet clients' requirements and to facilitate a smooth transition from sales to implementation. This role requires both strong technical knowledge and excellent communication skills. Sales Systems Engineers are commonly found in industries like IT, telecommunications, and industrial automation.

What are the key skills and qualifications needed to thrive as a Sales Systems Engineer, and why are they important?

To thrive as a Sales Systems Engineer, you need strong technical expertise in systems engineering, a solid understanding of sales processes, and typically a degree in engineering or computer science. Familiarity with CRM platforms, solution design tools, and relevant certifications such as Cisco's CCNP or CompTIA Network+ is often expected. Exceptional communication, problem-solving, and relationship-building skills help you effectively bridge the gap between technical teams and clients. These skills are crucial for designing solutions that meet client needs, supporting sales teams, and driving successful technology adoption.

How does a Sales Systems Engineer typically collaborate with sales and technical teams during the sales cycle?

A Sales Systems Engineer acts as a vital bridge between the sales team and technical experts, often participating in client meetings to understand requirements and demonstrate product capabilities. They work closely with sales representatives to develop tailored solutions, prepare technical presentations, and address customer questions. Additionally, they coordinate with product managers and engineers to ensure proposed solutions are feasible and align with client needs. This collaborative approach helps drive successful sales outcomes and ensures customer satisfaction throughout the sales cycle.

What is the difference between Sales Systems Engineer vs Sales Engineer?

AspectSales Systems EngineerSales Engineer
Required CredentialsBachelor's in Engineering, IT, or related fields; technical certificationsBachelor's in Business, Marketing, or related fields; technical knowledge often preferred
Work EnvironmentTechnical teams, product development, client demosCustomer-facing, sales meetings, client presentations
Employer & Industry UsageTech companies, software, hardware providersManufacturers, software firms, industrial sectors

Sales Systems Engineers focus on integrating technical solutions and supporting sales with product expertise, often working closely with engineering teams. Sales Engineers primarily drive sales through client interactions, demonstrating product value and closing deals. While both roles require technical knowledge, the Sales Systems Engineer emphasizes technical integration, whereas the Sales Engineer emphasizes sales and customer engagement.

More about Sales Systems Engineer jobs
What cities are hiring for Sales Systems Engineer jobs? Cities with the most Sales Systems Engineer job openings:
Who are the top companies hiring for Sales Systems Engineer jobs? The top employers for Sales Systems Engineer jobs are:
What job categories do people searching Sales Systems Engineer jobs look for? The top searched job categories for Sales Systems Engineer jobs are:
Sales Systems Engineer jobs near you
Infographic showing various Sales Systems Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $103,523 per year, or $49.8 per hour.
Sales Systems Engineer

Sales Systems Engineer

Veeam Software

Des Moines, IA • Remote

Other

Posted 3 days ago

Veeam Software rating

8.9

Company rating: 8.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

26th of 186 rated software companies

Job description

As a Commercial Pre-Sales Systems Engineer at Veeam, you will act as a trusted technical and strategic advisor to commercial and public sector customers as they make critical technology decisions, working with stakeholders from C-level leaders and senior IT management to architects, engineers, and practitioners to design resilient, secure, future-ready data platforms that deliver measurable business outcomes-improving business continuity, cyber recovery readiness, regulatory compliance, and long-term digital transformation so organizations can recover faster, operate with confidence, and safely leverage their data across cloud and platform ecosystems even in challenging conditions.

Key Responsibilities

  • 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 executive-level presentations that clearly articulate business value, cyber risk reduction, and operational outcomes.
  • Demonstrate Veeam Proof-of-Value (POV) to organizations, aligned to customer success criteria and driving positive business outcomes.
  • 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 enterprise discussions.
  • Partner closely with sales, product management, engineering, and ecosystem partners to influence solution architecture and product direction.

Required Qualifications

  • 5-7 years in pre-sales SE, solutions architecture, or similar technical leadership roles supporting mid-market and large enterprise customers.
  • Proven ability to lead complex technical sales cycles (discovery, solution design, POV/POC) and present to executive and technical audiences.
  • Broad technical depth in data resilience and enterprise infrastructure (virtualization, storage, OS, networking, cloud, and cybersecurity), including security, privacy, governance, and compliance considerations.
  • Foundational understanding of AI/ML/LLMs and the role trusted, resilient data plays in AI initiatives.
  • Self-motivated, adaptable technologist who thrives in fast-moving environments.

Preferred Qualifications

  • Experience with hyperscalers (AWS, Azure, GCP) and SaaS in modern hybrid environments (e.g. VMware, Hyper-V, containers, IAM)
  • Experience with data protection/cyber resilience vendors/solutions; relevant certifications (cloud/security/architecture).
  • Familiarity with observability/monitoring and operational tooling supporting resilience and recovery.

Nice-to-Have

  • Kubernetes and cloud-native data protection/recovery.
  • SaaS application data resilience (e.g., Microsoft 365, Salesforce).
  • API-driven automation, scripting, and infrastructure-as-code.
  • Cyber recovery and clean-room architectures
  • Data governance, classification, and policy-driven protection models

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