Customer Engineer
Leads technical discovery, architecture design, demonstrations, and proofs of concept while serving as a long-term technical advisor to enterprise customers. The role combines quota-carrying pre-sales with adoption, expansion, and AI-enabled workflow automation.
About the job
Responsibilities
- Technical validation: Partner with Account Executives to lead technical discovery, build bespoke architectures, and deliver product demonstrations and Proofs of Concept (PoCs) across security, networking, and developer platforms.
- Trusted advisory: Act as a trusted technical advisor throughout the customer lifecycle, from onboarding through maturity, renewal, and expansion.
- Strategic alignment: Own the long-term technical relationship and align customers’ evolving business goals with the product roadmap.
- Commercial accountability and expansion: Carry a variable quota tied to new business acquisition and/or account growth. Drive platform adoption, retain revenue, identify cross-sell and upsell opportunities using product usage data, and lead technical Quarterly Business Reviews (QBRs) for C-level executives.
- AI orchestration and workflow automation: Leverage AI agents and internal platforms to automate RFP and security questionnaire responses, sandbox provisioning, and basic telemetry monitoring.
Requirements and desirable experience
- Experience in a customer-facing technical role such as Solutions Engineering, Customer Engineering, Sales Engineering, or Forward Deployed Engineering.
- Broad technical expertise in web security, networking, routing, DNS, DDoS mitigation, cloud infrastructure, and enterprise architecture.
- Experience operating in a quota-carrying or revenue-aligned environment, with knowledge of SaaS metrics, business-value translation, and enterprise sales cycles.
- Exceptional presentation and stakeholder-management skills, including the ability to bridge technical implementation details and C-suite business strategy.
- Hands-on experience building, deploying, or architecting solutions with Cloudflare’s developer platform and AI ecosystem, particularly Workers AI and AI Gateway.
- Experience with prompt engineering, large language model (LLM) orchestration, or retrieval-augmented generation (RAG) architectures.
- Proficiency in Python, JavaScript, or similar languages for integration scripts, API connectors, and edge-computing functions.
Compensation and benefits
- Competitive base salary.
- Variable commission tied to full-lifecycle commercial targets, including new business acquisition, adoption milestones, and account expansion.
Skills
Cloudflare Workers Ai, Ai Gateway, Python, JavaScript, Web Security, Networking, DNS, Ddos Mitigation, Cloud Infrastructure, Enterprise Architecture, Prompt Engineering, Llm Orchestration, RAG
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