Founding AI Forward Deployed Engineer

Docebo

United States

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Docebo, an AI-powered learning platform, is building a Founding Forward Deployed Engineering team to bridge cutting-edge AI with real-world impact. You will work hand-in-hand with enterprise customers to transform complex L&D workflows into autonomous, high-impact AI agents.

You’ll own the product lifecycle from discovery and system architecture to deployment, shaping the roadmap and scaling platform features across the ecosystem.

Qualifications

  • 5+ years of hands-on experience building, shipping, and maintaining production-grade full-stack software products.
  • Strong customer-centric focus with the ability to engage with enterprise stakeholders.
  • Comfortable making high-stakes decisions with partial information and taking ownership from zero to one.

Responsibilities

  • Build the blueprint for the founding FDE team and define internal playbooks and technical roadmap.
  • Deploy autonomous intelligence by mapping complex L&D workflows to high-impact AI agents.
  • Architect custom AI agents that integrate with customer systems and the Docebo Agent Hub.
  • Drive platform evolution by turning client insights into scalable features.
  • Own the product lifecycle from discovery to production deployment and monitoring.

Skills

Full-Stack Development
Product-First Mindset
Founder Mindset & Ambiguity Tolerance
Rapid Prototyping
Frontend React/TypeScript
Backend Next.js/TypeScript
Systems Architecture
AWS
Kubernetes
LLM Providers

Tools

React
TypeScript
Next.js
AWS
Kubernetes
Datadog
OpenTofu
GitLab
LLM Orchestration Tools

Job description

Docebo, an AI-powered learning platform, is building a Founding Forward Deployed Engineering team to bridge cutting-edge AI with real-world impact. You will work hand-in-hand with enterprise customers to transform complex L&D workflows into autonomous, high-impact AI agents.

You’ll own the product lifecycle from discovery and system architecture to deployment, shaping the roadmap and scaling platform features across the ecosystem.

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