Role Description
The Sterling Sales Engineer will work closely with sales Account Managers in a presales technical role configuring solutions to meet specific customer complex technology needs, showcasing product solutions, setting up product demonstrations, and explaining features and value of technology solutions to customers. The Sales Engineer will be a key partner in the sales cycle and interact with customers both over the phone and on site to build trust and act as a trusted advisor for Sterlingβs customers. Additionally, the Sales Engineer will identify, research and present industry solutions related to client devices, wireless and wired networking, servers, storage, cloud infrastructures and data centers for customers.
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Develop technical sales strategies for deeply complex and large organizations operating on behalf of and in tandem with Government agencies and Integrators.
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Articulate the value of Sterling to customers and industry peers.
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Inspire and enable individual contributors to perform at high levels.
Qualifications
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Minimum of 5 years of experience in a Pre-Sales Engineer, Systems Engineer, or related customer facing role.
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A four-year technical degree or military service is not required.
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Ability to connect the dots technically while developing personal relationships with customers, sales teams, and vendors.
Requirements
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Systems:
Strong understanding of virtualization technologies, including hypervisors such as VMware, Hyper-V, KVM, and Citrix. Understanding of OS layers from Microsoft, Red Hat, and other Unix platforms.
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Storage:
Knowledge of storage architecture, including storage area networks (SANs), network-attached storage (NAS), and software-defined storage such as vSAN, Dell, HPE, Nutanix, NetApp, Pure Storage, Qumulo, and VAST.
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Network Architecture:
In-depth knowledge of network architecture, including software-defined networking (SDN) and network virtualization such as Cisco, Fortinet, Palo Alto, Juniper, Extreme, Ruckus, VMware, and HPE/Aruba.
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AI/ML:
Desire to track AI/ML technology trends, understand AI models and algorithms, ability to work with large datasets: cleaning, analysis, and interpretation. Familiarity with Python, R, Java, and TensorFlow/PyTorch. Experience with NVIDIA, Intel, AMD, DataBricks, and other AI vendors.
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Security:
Strong understanding of security principles, including authentication, authorization, and encryption.
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Cloud:
Familiarity with cloud computing technologies, including public, private, and hybrid clouds. Knowledge of AWS, Azure, Google, Oracle, and Gov Clouds.
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Cost Optimization:
Understanding of cost optimization techniques, including using open-source solutions and scaling infrastructure based on demand.
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Services:
Understanding the role of services to customers and sales organizations.
Benefits
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Ability to communicate, coordinate, and work effectively with sales, engineering, leadership, and services delivery teams.
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Understanding financial benefits of solutions and ability to speak to TCO/ROI of comparable offers.
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Strong analytical and problem-solving skills.
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Ability to apply critical thinking and empirical evidence to solve problems.
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Able to clarify and assimilate information from different sources into a unified communication.
Primary Responsibilities
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Confidently articulate features and value of technology solutions to customers.
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Configure products according to specifications.
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Ensure any RFP responses are technically acceptable and profitable.
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Build deep relationships with key customer decision makers.
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Develop and perform technical presentations to customers, partners, and prospects.
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Participate regularly in industry training and seek and maintain certifications to keep up-to-date on relevant competitive solutions, products, and services.
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Provide technical guidance to the business on forward-looking technologies.
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Build partner relationships with key technology vendors and OEMs.
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Participate in account planning and QBRs with sales and sales leadership.