Customer Experience Customer Success Specialist I United States

About the Role

We are a team dedicated to helping our customers navigate the constantly evolving world of AI security. We work together to ensure our clients optimally integrate Cisco AI Defense and our broader security suite into their operations. We grow with multi-functional collaboration—partnering with Sales, Product, Engineering, Marketing, and Operations to tackle real-world problems. We value input from every team member, and we look to you to help us present insights to leadership, refine our processes, and deliver high-impact projects that keep AI applications and autonomous agents secure.

Your Impact

In this role, you will play a pivotal part in ensuring our customers can confidently secure their AI infrastructure. You will:

• Guide customers through the onboarding process, helping them get up and running with our AI security portfolio.
• Translate technical details into clear business outcomes, showing customers exactly how our solutions protect their investments.
• Champion the customer’s perspective in our internal meetings, ensuring their feedback develops how we build and deliver our services.
• Stay ahead of the curve by tracking shifts in the AI landscape and sharing those insights with the team.
• Improve how we work by spotting process gaps and helping us build more efficient ways to support our customers.

Minimum Qualifications

Meet one of the following (completed within the past 3 years or expected to be completed within the next 12 months):

• A Bachelor's degree with 0 years of work experience.
• An educational or workforce development program (e.g., Associate’s, Apprenticeship, Boot camp, or Certification) with 1 year of work experience.
• High school diploma (or equivalent) with 2 years of work experience.

Requirements & Tech Stack

• AI Knowledge: Hands-on familiarity with AI agents and Large Language Models (LLMs).
• Security Foundation: A working understanding of cybersecurity principles.
• Analytical Skills: Ability to grasp networking concepts and use data to solve problems.
• Communication: Demonstrable ability to explain technical ideas clearly to both technical teams and business leaders.
• Mindset: A proactive, self-starting approach and a genuine curiosity for AI innovation.

Preferred Qualifications

• Technical Depth: Knowledge of programming (e.g., Python, R, C++), API integrations, Model Context Protocol (MCP), application development, CI/CD pipelines, and networking.
• Tooling: Experience with AI development tools like Claude Code, OpenClaw, Hermes Agent, OpenAI Codex, Cursor, or GitHub Copilot.
• Certifications: AWS Certified AI Practitioner, CISSP, Security+, Network+, CCNA Automation, CCNA Security, or Cisco AITECH.