Description
At Cloudflare, we are on a mission to help build a better Internet.
As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion.
Responsibilities
- 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.
Desirable Skills, Knowledge, and Experience
- Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer.
- Technical Acumen: Broad technical expertise spanning web security, networking, cloud infrastructure, and enterprise architecture.
- Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment.
- Communication: Exceptional presentation and stakeholder management skills.
Bonus Points
- 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.
Compensation
This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family, including health and welfare benefits, financial benefits, and time off.