Sale System Engineer Commercial positions focus on delivering results in their domain. This page aggregates open Sale System Engineer Commercial roles and what employers typically expect.
**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, com…