Drimva

Cloudflare

Senior Customer Engineer, Majors - NYC

$234K–$292K

Hybrid +1 · Senior · Full-time · Posted Jun 4, 2026

Location
Hybrid
New York, New York, United States
Experience
Customer-facing technical-role experience; years vary based on Associate, Senior, Staff, or Principal leveling.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Visa sponsorship
Any offer may be conditioned on authorization to receive technology controlled under U.S. export laws without sponsorship for an export license.

About the job

Guides enterprise customers through Cloudflare technical validation, architecture, onboarding oversight, adoption, and account growth as a quota-carrying technical advisor.

What you'll do

  • Lead technical discovery, evaluations, presentations, demonstrations, and solution architecture for enterprise prospects.
  • Advise on onboarding, migration, adoption, customer health, and technical risk throughout the customer lifecycle.
  • Carry a variable quota, support retention and expansion, and automate routine work using AI tools and workflows.

What they ask for

  • Experience in a customer-facing technical role; required years vary by leveling.
  • Ability to design and explain complex enterprise network and security architectures, with depth in at least four listed technical areas.
  • Strong communication, presentation, and stakeholder-management skills, including translating technical topics 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 materials and delivering workshops or developer onboarding.
  • Experience with LLM orchestration, Retrieval-Augmented Generation (RAG), and model-access controls.

Pay

$234,000 - $292,000 USD annual base salary

Tools

DNS, CDN, Zero Trust, Network Security, Workers, Python, JavaScript, Terraform

AI focus

Uses AI agents, LLMs, and internal platforms to automate routine tasks such as RFP and security-questionnaire responses, sandbox provisioning, telemetry monitoring, and documentation; advises customers on AI control layers.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)