Cloudflare
Senior Customer Engineer, Named - Portland, OR
Hybrid +1 · Senior · Full-time · Posted Oct 12, 2026
- Location
- Hybrid
Portland, OR - Experience
- Customer-facing technical experience; years required vary by Associate, Senior, Staff, or Principal leveling.
- Education
- Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
- Visa sponsorship
- Any offer may be conditioned on authorization to receive software or technology controlled under U.S. export laws without sponsorship for an export license.
About the job
Leads technical sales validation and customer adoption for Cloudflare, advising enterprise customers on architecture, deployment, platform value, and account growth throughout the customer lifecycle.
What you'll do
- Partner with Account Executives to discover customer needs, design solutions, and lead technical evaluations, presentations, and demonstrations.
- Guide onboarding and adoption through migration blueprints, customer engineering advice, health monitoring, and technical risk mitigation.
- Carry a variable quota, drive retention and account expansion, and automate routine customer-engineering workflows with AI tools.
What they ask for
- Experience in a customer-facing technical role; required years vary by level.
- Ability to design and clearly explain complex enterprise network and security architectures.
- Strong communication, presentation, advisory, and stakeholder-management skills; able to connect technical concepts to business outcomes.
- Revenue-aligned or quota-carrying experience and expertise in at least four listed technical areas.
Nice to have
- Experience creating technical enablement resources such as workshops, code samples, documentation, or developer onboarding.
- Knowledge of LLM orchestration, RAG architectures, and model-access controls; regulatory knowledge and hyperscaler or digital-native background are also valued.
Tools
Python, JavaScript, Bash, Lua, Go, Terraform, Pulumi, RESTful/GraphQL APIs
AI focus
Use AI agents, LLMs, and internal platforms to automate routine workflows; AI-related skills include prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation.
Model-written summary · the original posting is authoritative