Sales Systems Engineer, Commercial

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sales Systems Engineer, Commercial based in United States.

This role is designed for a technically skilled professional who can bridge the gap between customer challenges and innovative technology solutions. You will serve as a trusted technical advisor, guiding customers through complex sales engagements and helping them achieve stronger data resilience, security, and operational outcomes. The position combines solution architecture, pre-sales engineering, customer engagement, and strategic collaboration across sales, partners, and technical teams. You will manage multiple opportunities simultaneously, leading discovery, solution design, demonstrations, and technical validations. This is an opportunity to influence business growth by translating advanced technologies into clear customer value. The ideal candidate thrives in a fast-paced environment, enjoys solving complex problems, and can communicate effectively with both technical and executive audiences.

Accountabilities:: In this role, you will own the technical strategy and execution across commercial sales opportunities, partnering closely with internal teams and customers to design solutions that address business needs and deliver measurable impact.

Act as a trusted technical advisor throughout the sales cycle by providing solution architecture, technical guidance, and pre-sales expertise to customers.

Manage multiple concurrent sales engagements, balancing technical depth, responsiveness, prioritization, and deal progression.

Lead customer engagements from discovery through solution design, technical validation, demonstrations, and proof-of-concept activities.

Apply expertise across enterprise infrastructure, including data protection, virtualization, cloud environments, networking, security, and modern IT architectures.

Explain the technical and business value of solutions, helping customers improve resilience, reduce risks, optimize costs, and achieve strategic objectives.

Advise customers on data security, privacy, governance, and compliance considerations impacting enterprise technology decisions.

Educate customers on emerging technologies such as artificial intelligence, machine learning, and large language models, demonstrating how trusted data enables innovation.

Deliver compelling technical presentations, workshops, demonstrations, and discussions for audiences ranging from engineers to executive stakeholders.

Collaborate with sales teams, channel partners, and technology alliances to advance opportunities and strengthen customer relationships.

Support team development by sharing expertise, mentoring colleagues, and promoting technical best practices.

Requirements:

The ideal candidate brings strong technical expertise, customer-facing experience, and the ability to operate effectively in complex sales environments. You should be comfortable translating technical concepts into business outcomes while managing multiple priorities.

5+ years of experience in pre-sales systems engineering, solutions architecture, or similar customer-facing technical roles supporting commercial or enterprise customers.

Proven experience managing complex sales cycles, including discovery, solution design, technical validation, and proof-of-concept execution.

Strong understanding of enterprise infrastructure technologies, including data resilience, virtualization, cloud platforms, networking, and security.

Ability to position technical solutions effectively by connecting customer challenges with measurable business outcomes.

Experience with data security, governance, privacy, compliance, and enterprise IT strategy considerations.

Foundational knowledge of artificial intelligence, machine learning, and large language models, with the ability to explain their role in modern data strategies.

Strong presentation, communication, and relationship-building skills with experience engaging technical teams, architects, and senior decision-makers.

Ability to work independently, demonstrate ownership, and make sound decisions in fast-moving environments.

Collaborative mindset with experience partnering across sales, technical teams, channel organizations, and strategic partners.

Commitment to mentoring, knowledge sharing, and continuous professional development.

Preferred qualifications include:

Experience with containerized and cloud-native application platforms, including Kubernetes environments.

Knowledge of SaaS application data protection and recovery strategies for platforms such as Microsoft 365 or Salesforce.

Familiarity with APIs, scripting languages such as PowerShell or Python, and infrastructure automation concepts.

Understanding of cyber recovery strategies, ransomware resilience, isolated recovery environments, and data validation practices.

Experience with data governance frameworks, classification models, retention policies, and compliance-driven protection strategies.

Benefits:

The company provides a comprehensive benefits package designed to support employees’ health, professional growth, and long-term success.

Competitive compensation package with performance-based bonus opportunities.

Comprehensive medical, dental, and vision coverage starting on the first day.

Unlimited paid time off and paid holidays, including dedicated company wellness days.

Paid parental leave for all parents.

401(k) retirement plan with company matching contributions.

Mental health resources, therapy support, and digital wellness tools.

Fertility, adoption, and surrogacy assistance programs.

Virtual veterinary care benefits.

Legal services, identity protection, and supplemental insurance options.

Tax-advantaged healthcare, dependent care, and commuting savings programs.

Access to learning resources, mentoring programs, workshops, and professional development opportunities.

Flexible work arrangements and opportunities for career advancement.

Compensation Range:

United States compensation varies by geographic location and includes base salary plus performance-based compensation.

Compensation is determined based on experience, skills, education, location, and other job-related factors.

Estimated total compensation ranges:

Zone 1: $173,100 - $288,500 USD

Zone 2: $158,700 - $264,400 USD

Zone 3: $144,300 - $240,400 USD

Zone 4: $125,500 - $209,200 USD

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1