Sales Systems Engineer, Commercial

This is a fully remote position, open to applicants in Washington.

📋 Description

• Collaborate with mid-market and enterprise clients as a trusted technical consultant throughout the sales process, providing solution architecture, technical advice, and pre-sales engineering proficiency.

• Oversee multiple simultaneous opportunities in a dynamic environment, maintaining a balance between in-depth technical involvement and efficient deal progression.

• Direct complex sales processes from initial discovery to solution design, technical validation, and proof-of-concept (POC) execution, facilitating successful technical results that aid in closing deals.

• Utilize expertise in enterprise infrastructure, encompassing data resilience, virtualization, cloud services, networking, security, and modern IT architectures to address customer challenges.

• Clearly demonstrate and explain the business and technical benefits of proposed solutions, assisting customers in enhancing operational resilience, minimizing risk, optimizing costs, and achieving strategic goals.

• Provide guidance to customers on data security, privacy, governance, and regulatory factors that impact enterprise data protection and IT strategies.

• Educate clients on emerging technologies such as AI, machine learning, and large language models (LLMs), illustrating how resilient and trusted data supports successful AI and analytics initiatives.

• Conduct engaging presentations, product demonstrations, workshops, and technical discussions for audiences that range from practitioners and architects to executive stakeholders.

• Operate with a strong sense of ownership and accountability, making informed decisions independently while collaborating effectively in complex or high-impact situations.

• Work closely with sales teams, channel partners, and technology alliances to move opportunities forward, create pipeline, and ensure technical alignment throughout the customer journey.

• Mentor and assist team members by sharing technical knowledge, advocating for best practices, and nurturing a culture of continuous learning and collaboration.

⛳️ Requirements

• Over 5 years of experience in pre-sales systems engineering, solutions architecture, or similar technical customer-facing positions, servicing mid-market to enterprise clients.

• Proven capability to manage multiple concurrent sales engagements in a fast-paced sales environment, effectively balancing deep technical involvement with efficiency, responsiveness, and deal progression.

• Established experience executing complex sales cycles from start to finish, including discovery, solution design, technical validation, and proof-of-concept (POC) execution, while ensuring technical outcomes that directly support deal closure.

• Strong foundational technical expertise across enterprise infrastructure sectors, 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 competitively position solutions and articulate distinct technical value in relation to customer outcomes, cost optimization, risk reduction, and operational resilience.

• Working knowledge of data security, privacy, governance, and regulatory factors 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 contemporary analytics, automation, and AI initiatives.

• Excellent verbal and written communication abilities, 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 work independently with a high degree of ownership and accountability, exercising sound judgment within established frameworks while appropriately escalating high-impact or ambiguous decisions.

• Collaborative mindset with a history of closely partnering with sales, channel partners, and technology alliances to advance opportunities, support pipeline generation, and ensure 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.

🏝️ Benefits

• 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