Cloudflare
Senior Customer Engineer, Named - Seattle
$202K–$278K
Distributed +1 · Senior · Full-time · Posted Sep 2, 2026
- Location
- Distributed
Seattle, WA - Experience
- Customer-facing technical-role experience required; years vary by Associate, Senior, Staff, or Principal leveling.
- Education
- Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
- Visa sponsorship
- Offers may be conditioned on authorization to receive technology controlled under U.S. export laws without sponsorship for an export license.
About the job
Advises enterprise customers throughout the sales and adoption lifecycle, designing Cloudflare architectures, supporting technical validation and onboarding, and driving adoption, retention, and account growth.
What you'll do
- Lead technical discovery, evaluations, presentations, and architecture design with customers and Account Executives.
- Guide customer onboarding, migration planning, technical health, and value reviews without executing implementation.
- Carry a variable quota and use AI tools to automate routine workflows while advising customers and supporting account expansion.
What they ask for
- Experience in a customer-facing technical role; years vary by leveling.
- Ability to design and explain complex enterprise network and security architectures.
- Proven quota-carrying or revenue-aligned experience and understanding of SaaS metrics and enterprise sales.
- Demonstrated depth in at least four listed technical areas, including Internet fundamentals, security, performance, AI proficiency, coding/scripting, or developer platforms.
Nice to have
- Experience creating technical enablement resources and workshops.
- Experience with LLM orchestration, RAG architectures, or model-access controls.
Pay
$202,000 - $278,000 USD annual base salary (Washington-based hires)
Tools
Python, JavaScript, Bash, Lua, Go, Terraform, Pulumi, RESTful/GraphQL APIs
AI focus
Use AI agents, LLMs, and internal platforms to automate RFP and security questionnaire responses, sandbox provisioning, telemetry monitoring, and documentation; apply AI to scripting and log analysis. Preferred experience includes LLM orchestration, RAG, and model-access controls.
Model-written summary · the original posting is authoritative