Technical Marketing Engineering Technical Leader

Cisco

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CASan Francisco, CANew York, NY
Salary
$194,600–$285,700 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Closes
Nov 30, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $240k
$127k $303k
below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $167,037–$218,993 — the blue band above. At the midpoint, this role pays about $240k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 284 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 210 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · Technical Marketing Engineering Technical Leader

JOB TITLE: Technical Marketing Engineering Technical Leader The Technical Marketing Engineering Technical Leader joins a specialized team focused on building and scaling next-generation AI infrastructure solutions. This role serves as the primary technical authority for new AI infrastructure initiatives, bridging the gap between engineering development and customer-facing deployment. You will own the technical narrative, validate end-to-end solution lifecycles, and translate field feedback into actionable product requirements. Key responsibilities include producing white papers, deployment guides, and demonstration videos while representing technical strategy in executive briefings. You must possess hands-on experience with Kubernetes, Linux, and infrastructure automation using Python, Go, Terraform, or Ansible. The role addresses complex challenges in distributed token generation and consumption across on-prem, Neo/Sovereign, and public clouds, specifically managing GPU clusters, model training pipelines, and AI-workload placement.

What you'll do

  • Serve as the primary technical authority for new AI infrastructure initiatives.
  • Translate field feedback and adoption blockers into actionable technical requirements for the product roadmap.
  • Validate the end-to-end lifecycle of solutions to ensure they meet enterprise demands.
  • Identify product gaps and define technical readiness criteria with engineering and product management.
  • Produce technical assets including white papers, deployment guides, demonstration videos, and workshops.
  • Represent product and technical strategy in customer workshops, executive briefings, and industry forums.
  • Deploy and manage Kubernetes clusters in production-like environments including networking and storage.
  • Develop infrastructure automation using scripting languages like Python or Go and tools like Terraform.

What we're looking for

  • Bachelor’s degree in Engineering + 8 years of professional experience, or a Master’s degree + 6 years of professional experience.
  • 4 years of experience in technical marketing, solutions architecture, systems engineering, or platform/site reliability engineering.
  • Hands-on experience deploying and managing Kubernetes clusters in production or production-like environments.
  • Working knowledge of Linux and infrastructure fundamentals, including networking, storage, access controls, and observability.
  • Experience developing infrastructure automation using scripting languages like Python or Go, or tools like Terraform and Ansible.
  • Experience creating and delivering technical presentations, white papers, deployment guides, or architectural design reviews for technical audiences.
  • Ability to learn unfamiliar technologies and apply them to practical lab or customer scenarios.
  • Experience with AI/ML infrastructure, GPU clusters, or SRE methodologies (preferred).

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