Field Engineer (London)

Responsibilities

• You enable technical and non-technical teams by running training sessions and workshops that establish enterprise workflows with Replit. - Design Systems: You build Design Systems and starter templates tailored to the customer’s stack to accelerate their internal development time. - Drive Viral Growth: You build trust with key technical stakeholders, proactively running enablement sessions to keep teams building.

Requirements

• You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval. - Infrastructure Strategy: You lead deep-dive reviews for Single-Tenant/VPC deployments, ensuring Replit fits the customer’s security posture. - Hackathons & Trials: You lead high-energy Hackathons alongside Account Executives to drive hands-on
• requirements and translate them on the fly into technical concepts, creating live apps in real-time. - Production Engineering: You can read and write code (JavaScript, Python, or similar).
• You understand APIs, databases, CI/CD pipelines, and modern cloud architecture. - Pod Mentality: You thrive in a high-accountability POD structure. - Military
• experience with technology is counted as background and experience. - Comfort with up to 25% travel (expect 30%+). NICE TO HAVE: -
• Experience with AI-powered dev tools (Cursor, Windsurf, Lovable, Claude Code, Zapier etc.) - Understanding of AI Evaluation patterns (Evals) and Context Management (RAG, System Prompts). - Background in DevOps, cloud infrastructure (AWS/GCP/Azure), or SRE.
• TOOLS + TECH STACK FOR THIS ROLE: - Replit - HubSpot CRM - SSO/SAML/SCIM identity systems - Cloud platforms (AWS, GCP, Azure) - Slack - Claude - ChatGPT - Gemini - Notion - Superhuman - ZoomInfo - Hex THIS ROLE MAY NOT BE A FIT IF: - You haven't had your "Replit Moment".
• - You are uncomfortable building functional apps on the fly in front of executives or need a script to demonstrate value.
• - You aren't obsessed with how Agents are rewriting the SDLC, and you don't use AI tools to build in your own spare time.
• - You struggle in ambiguous, high-growth environments where you often have to build the tool or process required to solve the problem.

Experience