Enterprise Sales Engineer II

Posted 17 hours ago

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

📋 Description

• Facilitate technical discovery discussions with enterprise clients and potential customers.

• Conduct product demonstrations, presentations, and solution-focused workshops.

• Articulate how AppLogic solutions enhance application visibility, user experience, network performance, and operational efficiency.

• Assist in proof-of-value and proof-of-concept initiatives that showcase measurable outcomes for customers.

• Work collaboratively with Product, Engineering, Customer Success, and Sales teams to address customer needs and technical inquiries.

• Cultivate expertise in contemporary data centers, cloud computing, AI, and GPU-driven environments.

• Engage in discussions regarding AI infrastructure and GPU networking prospects in collaboration with senior technical experts.


⛳️ Requirements

• 2-5 years of experience in Sales Engineering, Solutions Engineering, Network Engineering, Technical Consulting, Professional Services, or a similar field.

• Strong grasp of networking principles, including TCP/IP, routing, switching, DNS, DHCP, VLANs, firewalls, and network troubleshooting.

• Proficient in articulating technical solutions to both technical and non-technical audiences.

• Familiarity with cloud technologies, virtualization, enterprise networking, SD-WAN, Wi-Fi, security, or data center environments.

• Excellent communication, presentation, and problem-solving abilities.

• Capacity to collaborate effectively with customers, partners, and internal teams.

• Basic understanding of data center concepts, including compute, storage, networking, leaf-spine topology, north-south and east-west traffic, front-end IP networks, back-end GPU fabrics, tenant isolation, and redundancy.

• Foundational knowledge of AI and machine learning principles, including model training versus inference, generative AI applications, and agentic AI workflows.

• Capability to interpret a basic data center network diagram and discuss bandwidth, latency, packet loss, connection rates, and traffic direction.

• Ability to validate workload traffic-pattern assumptions using customer data.

• Experience with virtualization and cloud technologies utilized for deploying and scaling network solutions.

• Comprehensive understanding of TCP/IP, UDP, DNS, DHCP, routing, switching, VLANs, NAT, firewalls, and packet-flow troubleshooting.


🏝️ Benefits

• Performance-based compensation.

• Flexible working conditions.

• Hybrid and remote working options.

• Mentorship, training, and hands-on learning experiences.

• Clear pathway for career advancement.

• Comprehensive benefits package promoting health and well-being.

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