# Senior Technical Marketing Engineer and Technical Leader

**Company**: Cisco
**Location**: San Jose
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $194,600.00 to $285,700.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Technical-Marketing-Engineering-Technical-Leader_2026433?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5fac11ca-ba7

## Description

Our organization is at the forefront of Cisco’s strategic evolution into the Full-stack AI market. We are a specialized, high-impact team dedicated to building and scaling the next generation of AI infrastructure solutions.

As a Senior Technical Marketing Engineer and Technical Leader, you will serve as the primary technical authority for new AI Infrastructure initiative, bridging the gap between sophisticated engineering development and customer-facing deployment. You will own the technical narrative, validating the end-to-end lifecycle of our solutions to ensure they meet the rigorous demands of real-world enterprise environments.

Responsibilities:

- Collaborate with engineering and product management to identify product gaps, resolve adoption blockers, and define technical readiness criteria.

- Produce technical assets such as white papers, deployment guides, demonstration videos, and workshops to enable internal field teams and external partners.

- Represent the product and technical strategy in customer workshops, executive briefings, and strategic industry forums.

Minimum Qualifications:

- 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, including container orchestration, networking, and storage integrations.

- Working knowledge of Linux and infrastructure fundamentals, including networking, storage, access controls, and observability.

- Experience developing infrastructure automation using scripting languages (e.g., Python, Go) or infrastructure-as-code tools (e.g., Terraform, Ansible).

- Experience creating and delivering technical presentations or documentation, such as 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.

Preferred Qualifications:

- Experience with AI/ML infrastructure, specifically managing GPU clusters, model training pipelines, or AI-workload placement within Kubernetes.

- Familiarity with GPU monitoring, resource sharing, or performance evaluation.

- Experience with public or private cloud platforms, including multi-tenancy, identity and access management, and observability frameworks.

- Operational experience with SRE methodologies, including incident response, capacity planning, and performance benchmarking.

- Experience working in agile, rapid-growth environments where product requirements and technical priorities evolve continuously.

Benefits:

- Medical, dental and vision insurance

- 401(k) plan with a Cisco matching contribution

- Paid parental leave

- Short and long-term disability coverage

- Basic life insurance

- Paid time away (vacation, holidays, sick time)

- Optional 10 paid days per full calendar year to volunteer

## Skills

### Required
- Kubernetes
- Linux
- Python
- Go
- Terraform
- Ansible
- Technical Marketing
- Solutions Architecture
- Systems Engineering
- Platform/Site Reliability Engineering

### Nice to have
- AI/ML infrastructure
- GPU clusters
- Model training pipelines
- AI-workload placement
- GPU monitoring
- Resource sharing
- Performance evaluation
- Public or private cloud platforms
- Multi-tenancy
- Identity and access management
- Observability frameworks
- SRE methodologies
- Incident response
- Capacity planning
- Performance benchmarking
- Agile environments

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Technical-Marketing-Engineering-Technical-Leader_2026433?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)