Senior Customer Engineer - Washington DC
At Cloudflare, we're on a mission to help build a better Internet. As a Senior Customer Engineer, you will represent the core driver of our technical go-to-market strategy, acting as a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Responsibilities Identify and map customer initiatives and business problems to Cloudflare solutions Build relationships and technical champions within customer accounts Develop and present customer presentations at every Enterprise Customer’s organization level Lead demo and proof-of-concept activities for Cloudflare prospects and customers Demonstrate your expertise of Cloudflare with your peers through the creation of professional content, including white papers, blog posts and other knowledge sharing activities Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise Apply in-depth vertical knowledge or domain expertise. Advise on best practices. Desirable Skills, Knowledge, and Experience Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking and Developer Platforms) Customer Adoption & Value Realization: Lead and/or provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders AI Orchestration & Workflow Automation: Act as an "AI-Augmented" engineer, leveraging AI agents and internal platforms to automate routine tasks Minimum Qualifications Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy Strongly Preferred Qualifications Cloudflare AI Stack Experience: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem Applied AI Knowledge: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures Coding/Scripting: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions Compensation Estimated annual salary of $202,000 - $278,000 for Washington DC based hires This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets Eligible to participate in Cloudflare’s equity plan Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave
Large Language Model (LLM) orchestration
Retrieval-Augmented Generation (RAG) architectures