Cloudflare
Senior Customer Engineer, Strategic - San Francisco
$214K–$336K
Hybrid +2 · Senior · Full-time · Posted Oct 6, 2026
- Location
- Hybrid
San Francisco, CA, United States
Seattle, WA - Experience
- Required years vary based on Associate, Senior, Staff, or Principal leveling; no specific number is stated.
- 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
Advise strategic enterprise customers on Cloudflare architecture and guide them from technical sales validation through adoption, retention, and account expansion.
What you'll do
- Lead technical discovery, solution design, demonstrations, and Proof of Concepts or Technical Validations with customers and Account Executives.
- Guide customer onboarding and adoption, monitor customer health and deployment risks, and lead technical business reviews.
- Carry a variable quota, support account growth, and use AI tools and workflows to automate routine customer-engineering 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.
- Proven quota-carrying or revenue-aligned experience and depth in at least four listed technical areas.
Nice to have
- Experience creating technical enablement materials, workshops, or developer onboarding.
- Experience with LLM orchestration, Retrieval-Augmented Generation (RAG), model-access controls, or knowledge of PCI DSS, HIPAA, and SOC 2.
Pay
$214,000.00 - $336,000.00 USD base salary
Tools
DNS, BGP, GRE, TCP/UDP, HTTP(S), SSL/TLS, Python, JavaScript
AI focus
Use AI agents, LLMs, and internal platforms to automate routine work 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 utilization, and workflow automation.
Model-written summary · the original posting is authoritative