Drimva

Cloudflare

Senior Customer Engineer, Named - Minnesota

Distributed +1 · Senior · Full-time · Posted Aug 11, 2026

Location
Distributed
Minneapolis, MN
Experience
Years of experience required vary based on Associate, Senior, Staff, or Principal leveling; no specific number stated.
Visa sponsorship
An employment offer may be conditioned on authorization to receive export-controlled software or technology without sponsorship for an export license.

About the job

Owns enterprise customer technical relationships end to end, from discovery and solution design through adoption, renewal, and revenue expansion.

What you'll do

  • Lead technical discovery, architecture design, demonstrations, and proofs of concept with Account Executives.
  • Oversee customer onboarding, implementation, technical health, risk management, and executive business reviews.
  • Carry a variable quota and drive adoption, retention, and account growth; use AI tools to automate routine workflows.

What they ask for

  • Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or Forward Deployed Engineering; required years vary by level.
  • Broad technical expertise across web security, networking, cloud infrastructure, and enterprise architecture.
  • Proven experience in a quota-carrying or revenue-aligned environment, with understanding of SaaS metrics and enterprise sales cycles.
  • Exceptional presentation and stakeholder-management skills, including communication with C-suite executives.

Nice to have

  • Hands-on experience with Cloudflare’s developer platform and AI ecosystem, including Workers AI, AI Gateway, and Vectorize.
  • Experience with prompt engineering, LLM orchestration, or RAG; proficiency in Python, JavaScript, or similar languages.

Tools

Workers AI, AI Gateway, Vectorize, Python, JavaScript

AI focus

Use AI agents and internal platforms to automate routine customer-engineering work, and apply AI in customer solutions; bonus experience includes prompt engineering, LLM orchestration, and RAG architectures.

Model-written summary · the original posting is authoritative

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