Senior Sales Engineer - Cloud-Native Broadband Solutions

Harmonic; Philadelphia (Philadelphia County); Hybrid; USD 160,000 - 175,000; Full time

Job summary

Harmonic is seeking a Senior Sales Engineer to manage technical engagements with Tier 1 and Mid-Tier MSOs and Telcos, integrating Harmonic’s Cloud Native vCMTS & PON platform. You will report to the VP of Sales - Comcast and work in a hybrid Philadelphia, PA role.

The position requires strong customer-facing skills, deep networking and DOCSIS knowledge, and hands-on experience with Linux, Kubernetes and Docker. Travel is about 20–25%.

Qualifications

• BS /BA required with strong experience in market sectors and accounts targeted.
• Cable MSO or Telco industry experience required.
• Deep knowledge of CIN networking and DOCSIS standards is expected.
• Experience with Linux, Kubernetes and Docker is necessary.

Responsibilities

• Develop and document end-to-end network solutions with customer requirements and industry best practices.
• Collaborate with Harmonic product and engineering teams to address issues and deliver features.
• Support customer lab integration and testing of new solutions and features.
• Grow and maintain customer relationships within the customer’s technical organizations.
• Design and architect solutions with customers to meet their needs.
• Deliver technical sales-oriented presentations to technical staff.
• Position Harmonic as an industry thought leader and align with sales goals.

Skills

Customer facing

Linux

Kubernetes

Docker

Cable MSO/Telco experience

DOCSIS knowledge

Data networking

SalesForce usage

JIRA

Confluence

Kafka

CLI

Education

BS /BA

Tools

SalesForce

JIRA

Confluence

Kafka

Job description

Harmonic is seeking a Senior Sales Engineer to manage technical engagements with Tier 1 and Mid-Tier MSOs and Telcos, integrating Harmonic’s Cloud Native vCMTS & PON platform. You will report to the VP of Sales - Comcast and work in a hybrid Philadelphia, PA role.

The position requires strong customer-facing skills, deep networking and DOCSIS knowledge, and hands-on experience with Linux, Kubernetes and Docker. Travel is about 20–25%.