Cloudflare
Senior Customer Engineer, Named - LA
$202K–$278K
Distributed +2 · Senior · Full-time · Posted Sep 2, 2026
- Location
- Distributed
Hybrid
Los Angeles, CA - 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
- An offer may be conditioned on authorization to receive technology controlled under U.S. export laws without sponsorship for an export license.
About the job
Guides enterprise customers through Cloudflare technical validation, architecture, onboarding oversight, adoption, and account growth as a quota-carrying technical advisor.
What you'll do
- Lead customer discovery, technical evaluations, presentations, and fit-for-purpose Cloudflare architecture proposals.
- Advise on onboarding, migrations, platform adoption, customer health, risk remediation, and technical business reviews.
- Carry a variable quota, identify expansion opportunities, and use AI tools and workflows to automate routine customer-facing tasks.
What they ask for
- Experience in a customer-facing technical role; required years vary by level.
- Ability to design and explain complex enterprise network and security architectures.
- Strong communication, presentation, stakeholder-management, and consultative skills.
- Revenue-aligned or quota-carrying experience, plus depth in at least four listed technical areas.
Nice to have
- Experience creating technical enablement materials and delivering workshops or developer onboarding.
- Experience with LLM orchestration, Retrieval-Augmented Generation (RAG), and model-access controls.
Pay
$202,000 - $278,000 USD annual base salary (estimated; California-based hires except San Francisco)
Tools
Python, JavaScript, Bash, Lua, Go, Terraform, Pulumi, RESTful/GraphQL APIs
AI focus
Use AI agents, Large Language Models (LLMs), and internal platforms to automate RFP and security questionnaire responses, sandbox provisioning, telemetry monitoring, and documentation; familiarity with prompt engineering, AI-assisted scripting and log analysis, and workflow automation is required among at least four technical areas.
Model-written summary · the original posting is authoritative