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Cloudflare is seeking a Customer Engineer to serve as a trusted technical advisor and primary architect of the customer journey for enterprise clients. You will bridge technical strategy and business value, guiding customers from pre-sales technical validation through onboarding, deployment architecture, and lifecycle expansion.
As a quota-carrying technologist within the GTM organization, you will own the entire customer relationship rather than handing off after initial agreement. Your responsibilities include leading technical deep-dive discovery sessions with Account Executives, capturing business requirements, and mapping complex customer infrastructure (DNS, CDN, Zero Trust, Network Security, Workers) to fit-for-purpose Cloudflare architectures. You will define scope, success criteria, and technical evaluation plans for Proof of Concepts and Technical Validations, delivering tailored presentations and architectural diagrams that demonstrate how Cloudflare solves performance, security, and reliability challenges.
You will provide oversight of technical onboarding and implementation, serving as the primary executive and engineering contact. This includes designing structured migration and onboarding blueprints tailored to each customer's environment and acting as lead consultant for customer engineering teams. You will proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial accountability is central to this role: you carry variable quota tied to new business acquisition and account growth, owning deep platform adoption, revenue retention, and identifying strategic cross-sell and up-sell opportunities. You will lead technical Quarterly Business Reviews to translate platform capabilities into ROI for C-level executives.
Throughout the entire customer lifecycle, you will maintain a continuous, deep relationship with key stakeholders, providing thought partnership on architecture, security posture, and deployment confidence. You will leverage AI agents, LLMs, and internal platforms to automate routine tasks such as RFP responses, sandbox provisioning, and telemetry monitoring, reclaiming time for strategic customer advisory and education enablement.
