Cisco
Sr. Technical Product Marketing Manager, AI and AgenticOps
$151K–$282K
San Jose, California, US · Remote · Manager · Full-time · Posted Oct 4, 2026
- Experience
- 8+ years with a Bachelor’s, or 6+ years with a Master’s; related experience.
- Education
- Bachelor’s or Master’s.
About the job
Develops Cisco’s technical marketing strategy for AgenticOps and AI Canvas, turning AI networking capabilities into practitioner-focused messaging, demonstrations, use cases, and go-to-market enablement.
What you'll do
- Build technical demonstrations, dashboards, solution guides, white papers, and videos.
- Partner with product and engineering teams to validate claims and develop technical positioning and use cases.
- Enable sales and partners, represent AgenticOps at industry events, and monitor competitors and marketing impact.
What they ask for
- Experience with multi-domain networking architectures and enterprise management or observability tools.
- Experience translating software architectures and AI capabilities into technical messaging, use cases, white papers, or demonstrations.
- Experience building network and security dashboards using ThousandEyes, Splunk, or other observability products.
- Bachelor’s and 8+ years of related experience, or Master’s and 6+ years of related experience.
Nice to have
- Extensive experience demonstrating networking products to customers in presales situations.
- Ability to develop practitioner use cases tied to executive outcomes such as efficiency, resilience, risk reduction, and workforce productivity.
Pay
$171,600.00 to $245,000.00 USD (starting salary range; not including incentive compensation, equity, or benefits); $171,600.00 - $281,800.00 USD (full salary range, New York City Metro Area); $151,300.00 - $250,900.00 USD (full salary range, non-Metro New York state & Washington state)
Tools
CLI, Cisco Catalyst Center, Splunk, Meraki, ThousandEyes
AI focus
Market Cisco AgenticOps and AI Canvas, including AI-driven networking operations such as automated troubleshooting, root-cause analysis, and cross-domain remediation.
Model-written summary · the original posting is authoritative