Cloudflare
Senior Customer Engineer, Enterprise - San Francisco
$214K–$336K
Hybrid +1 · Senior · Full-time · Posted Oct 28, 2026
- Location
- Hybrid
San Francisco, CA, United States - 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 export-controlled software or technology without sponsorship for an export license.
About the job
Leads enterprise customers through Cloudflare’s technical sales, solution design, onboarding oversight, adoption, and account expansion as a quota-carrying technical advisor.
What you'll do
- Lead technical discovery, evaluations, presentations, demonstrations, and architecture design for enterprise customers.
- Guide onboarding and adoption, monitor customer health and risks, and partner on retention, renewals, and account expansion.
- Use AI agents, LLMs, and internal platforms to automate routine customer engineering workflows; create technical enablement resources.
What they ask for
- Customer-facing technical-role experience; years vary by leveling.
- Ability to design and explain complex enterprise network and security architectures; depth in at least four listed technical areas.
- Excellent communication, presentation, and stakeholder-management skills, 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 technical enablement such as workshops, code samples, documentation, or developer onboarding.
- Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Pay
$214,000.00 - $336,000.00 USD annual base salary (Bay Area based hires); variable compensation amount not stated
Tools
DNS, CDN, Zero Trust, Python, JavaScript, Bash, Terraform, Pulumi
AI focus
Use AI agents, LLMs, and internal platforms to automate tasks such as RFP and security questionnaire responses, sandbox provisioning, telemetry monitoring, and documentation. AI proficiency includes prompt engineering, AI-assisted scripting and log analysis, LLM use, and workflow automation.
Model-written summary · the original posting is authoritative