Senior Customer Engineer: AI-Powered Technical Advisor

Cloudflare

United States

Remote

USD 234,000 - 292,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) retirement plan
Paid time off
Equity plan
Parental leave

Job summary

Cloudflare, United States, is hiring a Customer Engineer to be a trusted technical advisor responsible for the end-to-end technical relationship with customers—from discovery through adoption, renewal, and expansion—while carrying a quota.

This role emphasizes architecture demonstrations, onboarding, telemetry insights, and collaboration with Account Executives to drive measurable business outcomes. AI-augmented workflows will automate routine tasks and accelerate value realization.

Qualifications

  • Experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, or Forward Deployed Engineer.
  • Broad technical expertise across web security, networking, cloud infrastructure, and enterprise architecture.
  • Commercial mindset with understanding of SaaS metrics and business value translation.
  • Excellent communication and stakeholder management, including C-suite alignment.

Responsibilities

  • Lead technical discovery and bespoke architectures with Account Executives.
  • Oversee onboarding, technical health, and serve as primary engineering contact for customers.
  • Identify expansion opportunities and drive quarterly business reviews with executives.
  • Maintain a trusted advisory relationship across the customer lifecycle from onboarding to renewal.
  • Leverage AI-augmented workflows to automate routine tasks and improve efficiency.

Skills

Customer-facing tech
Technical acumen
Commercial mindset
Communication

Tools

Cloudflare AI Stack
Python
JavaScript

Job description

Cloudflare, United States, is hiring a Customer Engineer to be a trusted technical advisor responsible for the end-to-end technical relationship with customers—from discovery through adoption, renewal, and expansion—while carrying a quota.

This role emphasizes architecture demonstrations, onboarding, telemetry insights, and collaboration with Account Executives to drive measurable business outcomes. AI-augmented workflows will automate routine tasks and accelerate value realization.

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