Field Engineer

Replit Replit · Enterprise · New York, NY · Hybrid · GTM

Enterprise/Strategic Field Engineer for Replit, a company focused on agentic software creation. This hybrid role involves high-impact pre-sales (technical evaluations, live building, governance) and post-sales (adoption, expansion, retention) for large strategic accounts. The engineer will own the end-to-end technical relationship, driving adoption and ensuring customers become Replit-powered.

What you'd actually do

  1. When you are pulled into complex deals, you join as the expert closer. 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 (driving adoption, expansion, renewal; explaining complex technical concepts; translating business requirements into technical architecture)
  • Live Builder (running POCs, onboarding, workshops; translating vague requirements into technical concepts; creating live apps in real-time)
  • Production Engineering (read/write code in JavaScript, Python, or similar; understanding APIs, databases, CI/CD pipelines, modern cloud architecture)
  • Pod Mentality
  • 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

What the JD emphasized

  • high-impact pre-sales
  • post-sales
  • end-to-end technical relationship
  • Pod structure
  • high-accountability
  • strategic technical leader
  • live, functional applications on the fly
  • Model Context Protocol (MCP) servers
  • customer-specific data
  • Enterprise Governance
  • Guardrails
  • data safety, compliance, and CISO approval
  • Single-Tenant/VPC deployments
  • security posture
  • production-ready SSO/SCIM provisioning
  • guardrails
  • security setup
  • enterprise workflows
  • viral growth
  • technical validation
  • 5-7+ years in technical customer-facing roles
  • Replit Power User
  • Enterprise Depth
  • Live Builder
  • Production Engineering
  • Pod Mentality

Other signals

  • Enterprise AI
  • Agentic Software Creation
  • Customer-Facing Technical Role
  • Pre-Sales and Post-Sales