Cloudflare
Customer Engineer, Enterprise - Austin/Dallas,TX or Raleigh, NC
Hybrid +3 · Full-time · Posted Oct 30, 2026
- Location
- Hybrid
Austin, TX, United States
Dallas, Texas, United States
Raleigh, NC - Experience
- Customer-facing technical-role experience required; years vary based on Associate, Senior, Staff, or Principal leveling.
- Education
- Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
About the job
Advises enterprise customers on Cloudflare architectures, leads technical validation and adoption across the customer lifecycle, and drives account growth in a quota-carrying role.
What you'll do
- Lead technical discovery, evaluations, presentations, and solution architecture for enterprise sales opportunities.
- Guide customer onboarding and adoption, monitor customer health, and advise on technical risks and best practices.
- Own technical account growth and retention, lead business reviews, and use AI tools to automate routine workflows.
What they ask for
- Experience in a customer-facing technical role; required years vary by leveling.
- Ability to design and explain complex enterprise network and security architectures; demonstrate depth in at least four listed technical areas.
- Strong communication, presentation, and stakeholder-management skills, including translating technical concepts into business outcomes.
- Proven experience in a quota-carrying or revenue-aligned environment and understanding of SaaS metrics and enterprise sales cycles.
Nice to have
- Experience creating and delivering technical enablement for customers or internal teams.
- Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Tools
DNS, CDN, Zero Trust, Network Security, Workers, Python, JavaScript, Terraform
AI focus
Use AI agents, Large Language Models (LLMs), and internal platforms to automate routine work; familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation is required among the technical areas. Applied AI experience with LLM orchestration, RAG, and model-access controls is preferred.
Model-written summary · the original posting is authoritative