Principal Customer Engineer, Start Up AI

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations

Germany

Responsibilities

The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value. You'll guide startup and AI customers from the first conversation about their AI ambitions through technical validation, production deployment, and long-term adoption and expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the Startup AI segment.

Technical Discovery & Validation: Partner closely with Account Executives to lead technical deep-dive discovery and uncover what kind of AI problem a customer actually has. It might be building AI products and agents, governing how their people and agents use AI, or protecting internet-facing applications from AI-driven threats and traffic. Turn that into a sequenced plan rather than a feature tour. Capture business requirements and map startup and AI customer infrastructure (DNS, CDN, Zero Trust, Network Security, serverless and edge compute) to fit-for-purpose Cloudflare architectures and bespoke solutions. Define scope, success criteria, and technical evaluation plans for Proofs of Concept (PoCs) and Technical Validations, anchored in measurable quality, latency, and cost targets rather than subjective impressions. Rapidly build working, customer-specific prototypes. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, reliability, and scale challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional Services) being an integral part of all proposals.

Customer Adoption & Value Realization: Oversee technical onboarding and implementation without executing it yourself, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer's environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance). Act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Guide customers in taking AI applications and agents from prototype to production in a way that is reliable, safe, and affordable. That covers durable state and failure recovery for long-running agents; secure agent design such as defenses against prompt injection, scoped access, and human approval for sensitive actions; and the right model choices for each task. After go-live, help customers keep AI workloads healthy through tracing, quality and cost monitoring, and safe rollout of model and prompt changes, feeding production learnings back into evaluation. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk as customers move from early-stage development to production scale.

Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data and the evolving needs of startup and AI customers. Translate AI spend into clear business cases, such as cost per task or per resolved request. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for founders, C-level executives, and engineering leaders.

Ecosystem & Business Development: Help build and grow Cloudflare's presence in the startup and AI ecosystem. Develop relationships with incubators, accelerators, venture capital firms, founder communities, and developer meetups to generate new pipeline alongside Account Executives. Represent Cloudflare at startup events, demo days, and hackathons, and identify high-potential AI startups early in their journey.

Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with founders, CTOs, engineering leaders, and other key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, agent design, AI governance and compliance (e.g. GDPR, EU AI Act, data residency), security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.

AI Orchestration & Workflow Automation: Use AI agents, coding agents, Large Language Models (LLMs), and internal platforms as a default way of working. Automate routine tasks such as meeting preparation, RFP/Security Questionnaire responses, sandbox provisioning, demo setup, basic telemetry monitoring, and internal/external documentation, so you have more time for strategic customer advisory. Apply AI-assisted workflows to support customer engineering teams and improve the speed and quality of technical validation. Share hands-on learnings and gaps with product teams as a direct feedback channel.

Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical basel