Senior Mist Systems Engineer – Campus & Branch (Remote)

Hewlett Packard Enterprise; Massachusetts; À distance; USD 120 000 - 180 000; Plein temps

Résumé du poste

Hewlett Packard Enterprise is seeking a Senior Systems Engineer for HPE Campus & Branch to join a high‑performing team focused on Mist. This remote/teleworker role travels up to 50% to support customers across multiple states and partners with Territory Managers and SEs throughout the sales lifecycle.

You will drive technical discovery, architecture discussions, and demonstrations while ensuring customer success from initial evaluation to deployment and ongoing optimization.

Qualifications

• 7+ years of experience in Systems Engineering, Sales Engineering, or related field.
• Deep knowledge of campus and branch networking, wireless design, security, and troubleshooting.
• Experience supporting complex technical sales cycles, architecture workshops, and POCs.
• Strong communication with technical and executive audiences.

Responsabilités

• Partner with sales teams to drive new logos and account expansion.
• Lead architecture workshops, technical demonstrations, and POC engagements.
• Guide customers from evaluation to production adoption with measurable outcomes.
• Provide strategic technical guidance and differentiating solutions for HPE Mist.

Connaissances

Enterprise wireless networking

RF fundamentals

Architectures design discussions

Executive presence

Verbal & written communication

Customer relations

Travel up to 50%

Formation

CWNP/CWNE

JNCIP/JNCIE

CCNP/CCIE

CISSP

Outils

Ekahau

HPE Mist

NetAlly

iBwave

Description du poste

Hewlett Packard Enterprise is seeking a Senior Systems Engineer for HPE Campus & Branch to join a high‑performing team focused on Mist. This remote/teleworker role travels up to 50% to support customers across multiple states and partners with Territory Managers and SEs throughout the sales lifecycle.

You will drive technical discovery, architecture discussions, and demonstrations while ensuring customer success from initial evaluation to deployment and ongoing optimization.