Sales Engineer
The Sales Engineer partners with Sales teams to drive revenue growth by providing technical pre-sales support, solution consulting, and customer presentations. This role serves as a trusted technical advisor, helping prospects and customers identify business challenges and align technology solutions to meet their needs. The Sales Engineer collaborates closely with Account Managers and leadership to develop winning sales strategies, support proof-of-concepts, deliver product demonstrations, and build strong customer relationships throughout the sales cycle.
Key Responsibilities
- Partner with Sales teams to qualify opportunities and develop technical sales strategies.
- Understand customer business and technical requirements and recommend appropriate solutions.
- Deliver product demonstrations, presentations, workshops, and proof-of-concepts (PoCs).
- Provide technical expertise during evaluations, competitive assessments, and RFP/RFI responses.
- Build relationships with customer stakeholders and identify opportunities for expansion and upsell.
- Support forecasting, opportunity management, and achievement of sales targets.
- Collaborate with channel partners, system integrators, and customer teams to ensure successful solution positioning.
- Travel within assigned territory as required (approximately 40-50%).
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (MBA preferred).
- 7+ years of experience in pre-sales engineering, network engineering, technical consulting, or related roles.
- Strong knowledge of networking technologies, network performance monitoring, application performance management, and observability solutions.
- Experience with TCP/IP, routing and switching, network security, virtualization, Linux/Windows operating systems, and cloud environments.
- Strong presentation, communication, and customer-facing skills.
- Relevant industry certifications (CCNA, CCNP, CCIE) are a plus.
- Proven ability to translate technical concepts into business value and influence customer decisions.