Cisco
Technical Marketing Engineer
$124K–$226K
Milpitas, California, US · Hybrid · Full-time · Posted Oct 19, 2026
- Experience
- Bachelor’s degree plus 5 years, or Master’s degree plus 3 years, in technical product management, technical marketing, sales engineering, network consulting, or solutions architecture.
- Education
- Bachelor’s degree or Master’s degree; the posting does not state equivalent experience as an alternative.
About the job
Develops and demonstrates AI-enabled campus networking solutions, supports customer evaluations, and turns customer feedback into product roadmap input.
What you'll do
- Define AgenticOps use cases with customers and gather actionable product feedback.
- Build labs, demos, and proof-of-concept environments to support product evaluations.
- Create technical content and represent Cisco at industry events.
What they ask for
- Bachelor’s degree plus 5 years of relevant experience, or a Master’s degree plus 3 years.
- Experience configuring, troubleshooting, and operating enterprise networking environments.
- Expertise in campus networking, including Ethernet, VLANs, Layer 2 switching, IP routing, and Layer 3 technologies.
- Experience presenting and demonstrating networking, security, and AgenticOps topics, and building labs and validation plans using approved AI-assisted tools and coding agents.
Nice to have
- Experience with advanced AI frameworks, MCP integrations, and RAG-based systems.
- Cross-functional Go-to-Market, Engineering, and Sales collaboration; public speaking or advanced relevant certifications.
Pay
$138,100.00 to $196,500.00 USD base salary; $138,100.00 - $226,000.00 USD base salary (New York City Metro Area); $124,000.00 - $201,000.00 USD base salary (Non-Metro New York state & Washington state)
Tools
Ethernet, VLANs, Layer 2 switching, IP routing, Layer 3 technologies, MCP integrations, RAG-based systems
AI focus
Applies Cisco’s AI capabilities to customer network operations workflows and develops AgenticOps use cases; uses approved AI-assisted tools and coding agents, with preferred experience in AI frameworks, MCP integrations, and RAG-based systems.
Model-written summary · the original posting is authoritative