Senior AI-Driven Customer Engineer

Cloudflare

Las Vegas (NV)

On-site

USD 120,000 - 160,000

Full time

11 hours ago
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Benefits offered by this job

Medical/Rx Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Flexible paid time off

Job summary

Cloudflare seeks a Customer Engineer to drive the technical go-to-market strategy and act as the trusted technical advisor for enterprise clients. You will bridge technical strategy and business value through onboarding, deployment architecture, and lifecycle expansion.

You will be a quota-carrying technologist working with Account Executives to ensure rapid time-to-value, monitor health, and pursue expansion opportunities while leveraging AI-assisted workflows to reduce toil and accelerate

Qualifications

  • Experience in a customer-facing technical role.
  • Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
  • Proven track record in SaaS or enterprise tech sales environments.

Responsibilities

  • Lead technical discovery and map customer requirements to Cloudflare architectures.
  • Own onboarding, deployment architecture, and lifecycle expansion with enterprise clients.
  • Drive quarterly business reviews translating platform capabilities into business value.

Skills

Architectural Mindset
Consultative & Advisory Skills
Commercial Mindset
Communication
Technical Breadth

Education

Bachelor degree in Computer Science, Engineering, or related field

Tools

RESTful APIs
GraphQL APIs
SDKs
Terraform
Pulumi

Job description

Cloudflare seeks a Customer Engineer to drive the technical go-to-market strategy and act as the trusted technical advisor for enterprise clients. You will bridge technical strategy and business value through onboarding, deployment architecture, and lifecycle expansion.

You will be a quota-carrying technologist working with Account Executives to ensure rapid time-to-value, monitor health, and pursue expansion opportunities while leveraging AI-assisted workflows to reduce toil and accelerate

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