Senior AI Infrastructure Marketing Engineer Lead

Cisco Systems, Inc.; Milpitas (CA); Hybrid; USD 195,000 - 286,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

401(k) with matching

Parental leave

Disability coverage

Life insurance

Paid time off / vacation

Volunteer time off

Job summary

Cisco Systems, Inc. is seeking a Senior Technical Marketing Engineer to lead the technical narrative for our AI infrastructure platform.

You will validate end-to-end deployment scenarios, translate field feedback into requirements, and influence the product roadmap for global scale. You will design reference architectures, run full-stack lab environments, and produce deployment guides and workshops for field teams and partners.

Qualifications

• Bachelor's degree in Engineering with 12+ years of experience, or Master's with 8+ years of experience.
• Experience in technical marketing, solutions architecture, systems engineering, or platform/site reliability engineering.
• Experience deploying and managing Kubernetes clusters in production environments.

Responsibilities

• Design, implement, and maintain reference architectures for AI-driven cloud infrastructure.
• Operate full-stack lab environments to validate Day 0–Day 2 workflows, including automation and security controls.
• Collaborate with engineering and product management to identify product gaps and readiness criteria.
• Create technical assets such as white papers, deployment guides, and workshops for internal and external audiences.
• Represent the product strategy in customer workshops and executive briefings.

Skills

Tech marketing

Solutions architecture

SRE / platform

Presentation skills

Python/Go scripting

AI/ML infra know-how

Education

Bachelor's degree in Engineering

Master's degree in a related field

Tools

Kubernetes

Terraform

Ansible

Python

Go

Job description

Cisco Systems, Inc. is seeking a Senior Technical Marketing Engineer to lead the technical narrative for our AI infrastructure platform.

You will validate end-to-end deployment scenarios, translate field feedback into requirements, and influence the product roadmap for global scale. You will design reference architectures, run full-stack lab environments, and produce deployment guides and workshops for field teams and partners.