Field Engineer

Replit Replit · Enterprise · Foster City, CA · Hybrid · GTM

Enterprise/Strategic Field Engineer for Replit, a hybrid pre-sales and post-sales role focused on closing complex technical evaluations, driving adoption, expansion, and retention for strategic accounts. The role involves designing technical strategies, building live applications, connecting Replit Agents to customer data via MCP servers, configuring AI governance/guardrails, leading infrastructure discussions, and enabling customers to build on the Replit platform.

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 (driving adoption, expansion, renewal)
  • Live Builder (run POCs, onboarding, workshops, build live apps)
  • Production Engineering (read/write code in JS/Python, understand APIs, databases, CI/CD, cloud architecture)
  • Pod Mentality (thrive in high-accountability POD structure)

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
  • strategic technical leader
  • 5-7+ years in technical customer-facing roles
  • Replit Power User
  • Enterprise Depth
  • Live Builder
  • Production Engineering
  • Pod Mentality

Other signals

  • Enterprise AI
  • Agentic Platform
  • Pre-sales
  • Post-sales
  • Customer Facing