Senior Customer Engineer, Saudi Arabia

About the job

Responsibilities

• Lead technical deep-dive discovery, capture business requirements, and map customer infrastructure to Cloudflare architectures.
• Define, scope, and manage Proof of Concepts (PoCs) and technical validation plans.
• Deliver tailored technical presentations, architectural diagrams, and demonstrations.
• Address complex technical objections, security compliance questions, and edge-case architectural requirements.
• Oversee technical onboarding and implementation, serving as the primary executive and engineering contact.
• Design migration and onboarding blueprints and act as lead consultant for customer engineering teams.
• Own discovery, demos, onboarding, technical health, risk, and expansion strategy with Account Executives.
• Monitor customer health scores and telemetry to ensure rapid time-to-value and resolve integration bottlenecks.
• Carry a variable quota tied to new business acquisition and/or account growth.
• Ensure deep platform adoption, retain revenue, and identify cross-sell and up-sell opportunities.
• Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into ROI.
• Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining deep relationships.
• Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence.
• Identify and provide remediation strategies for potential deployment risks or integration bottlenecks.
• Leverage AI agents, LLMs, and internal platforms to automate routine tasks.
• Partner with the Enablement Team to design, build, and govern technical resources.
• Define, document, and educate internal teams and customers on deliverables like Standard Operating Procedures (SOPs).

Requirements

• Experience in technical sales, solutions architecture, or customer engineering.
• Proficiency in DNS, CDN, Zero Trust, Network Security, and Workers.
• Experience with technical onboarding, implementation, and migration strategies.
• Familiarity with AI agents and Large Language Models (LLMs) for workflow automation.
• Ability to carry a quota and drive commercial accountability.
• Strong understanding of cloud infrastructure and security principles.
• Excellent communication and presentation skills, with the ability to engage C-level executives.
• Experience in technical QBRs and translating technical capabilities into business value.
• Proven ability to build and maintain deep customer relationships.
• Experience with AI control layers and security posture management.