Drimva

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

First seen Oct 31, 2026 · Last verified Nov 6, 2026 (UTC)