Field Engineer (london)

Replit Replit · Enterprise · United Kingdom · Remote · GTM

Enterprise/Strategic Field Engineer for Replit, a platform for agentic software creation. This hybrid role focuses on high-impact pre-sales (closing technical evaluations) and post-sales (driving adoption, expansion, retention) for strategic accounts. Responsibilities include technical discovery, live application building, connecting agents to customer data via MCP servers, configuring enterprise governance and guardrails, and leading infrastructure strategy. Post-sales duties involve production setup, technical enablement, building design systems, driving viral growth, identifying expansion opportunities, and conducting value-based QBRs. Requires strong customer-facing experience, Replit proficiency, enterprise SaaS background, live building capabilities, and coding skills.

What you'd actually do

  1. You run deep discovery on their stack and constraints, then design the winning technical strategy.
  2. You build live, functional applications on the fly during executive meetings to prove immediate value and technical feasibility to VPs and C-suite stakeholders.
  3. You write and deploy Model Context Protocol (MCP) servers to securely connect Replit Agents to customer-specific data, making Replit the central hub for their internal development.
  4. You own the "Guardrails" mission. You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval.
  5. You lead deep-dive reviews for Single-Tenant/VPC deployments, ensuring Replit fits the customer’s security posture.

Skills

Required

  • 5-7+ years in technical customer-facing roles (Solutions Engineer, Sales Engineer, Implementation Engineer, Forward Deployed Engineer, Technical Account Manager, or Customer Success Engineer)
  • Replit Power User
  • Enterprise Depth
  • Live Builder
  • Production Engineering (JavaScript, Python, APIs, databases, CI/CD, cloud architecture)
  • Pod Mentality

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.

What the JD emphasized

  • high-impact pre-sales
  • post-sales
  • Pod structure
  • live, functional applications on the fly
  • Model Context Protocol (MCP) servers
  • Enterprise Governance
  • Guardrails
  • AI governance templates
  • Single-Tenant/VPC deployments
  • production-ready SSO/SCIM provisioning
  • AI-powered dev tools
  • AI Evaluation patterns (Evals)
  • Context Management (RAG, System Prompts)
  • Agents are rewriting the SDLC

Other signals

  • Enterprise AI
  • Agentic Software Creation
  • Pre-sales and Post-sales Technical Ownership
  • Driving Adoption and Expansion