Cloudflare
Senior Customer Engineer, Enterprise AI - Bay Area
$214K–$336K
Hybrid +1 · Senior · Full-time · Posted Jul 21, 2026
- Location
- Hybrid
San Francisco, CA, United States - Experience
- Experience in a customer-facing technical role required; no number of years stated.
- Visa sponsorship
- Offers may be conditioned on authorization to receive export-controlled software or technology without sponsorship for an export license.
About the job
Own technical customer relationships for Cloudflare’s enterprise AI and digital-native accounts, supporting acquisition, adoption, renewal, and expansion through architecture guidance and measurable business outcomes.
What you'll do
- Lead technical discovery, architecture design, demonstrations, and proofs of concept; build customer and executive relationships.
- Oversee onboarding and adoption, resolve integration issues, and advise on architecture, security, and platform strategy.
- Drive account growth through quota-linked acquisition and expansion, cross-sell and upsell, and technical business reviews.
What they ask for
- Deep understanding of the life of a request on the Internet.
- Experience in a customer-facing technical role such as Solutions Engineering, Customer Engineering, Sales Engineering, or Forward Deployed Engineering.
- Broad expertise in web security, networking, and cloud infrastructure, including WAF, DDoS mitigation, TLS, Zero Trust / SASE, BGP, DNS, SD-WAN, MPLS, TCP/IP, AWS, GCP, or Azure.
- Strong communication and presentation skills; experience integrating AI-augmented workflows into daily development.
Nice to have
- Hands-on experience with Cloudflare Developer and AI platforms; applied AI knowledge including prompt engineering, LLM orchestration, or RAG.
- Proficiency in Python, JavaScript, or Go; familiarity with CDN, proxies, serverless patterns, and cloud application development.
Pay
$213,500 – $335,500 (OTE, Base + Commissions; annual salary)
Tools
WAF, DDoS mitigation, TLS, Zero Trust / SASE, BGP, DNS, SD-WAN, AWS
AI focus
Use AI-augmented development workflows to accelerate prototyping and delivery; preferred applied AI work includes prompt engineering, LLM orchestration, and RAG, with hands-on Cloudflare AI platform experience.
Model-written summary · the original posting is authoritative