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Founding Forward Deployed Engineer

doceboRemote CanadaEngineering
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Salary
CA$150K – CA$200K
Job type
Full-time
Work mode
Remote
Experience
Senior · 5+ yrs
Posted
21 Sept 2026
Status
Open · checked 7d ago

About this role

This role suits an experienced software engineer with a founder mindset who thrives in ambiguity and wants to establish a founding Forward Deployed Engineering team. Based in Remote Canada, the position involves building custom AI agents and partnering with strategic enterprise customers at Docebo.

Role Overview

As a founding member of the Forward Deployed Engineering team, the professional will bridge artificial intelligence and real-world customer impact. The position requires setting operational playbooks, mapping complex learning and development workflows, and architecting bespoke AI agents that integrate with the Docebo Agent Hub.

Key Responsibilities

Build operational rituals, internal playbooks, and the technical roadmap for the new Forward Deployed Engineering function.
Partner directly with strategic enterprise customers to identify integration opportunities for agentic AI within learning and development workflows.
Design, build, and deploy custom AI agents that integrate with customer systems and the Docebo Agent Hub.
Translate customer insights and bespoke solutions into scalable platform enhancements for the broader ecosystem.
Own the entire product lifecycle from initial discovery and system architecture to production deployment and iterative optimization.

Requirements

Minimum of 5 years of hands-on experience building, shipping, and maintaining production-grade full-stack software products.
Prior experience building, fine-tuning, or deploying agentic AI systems and large language model applications in production.
Strong customer-centric focus with direct communication experience engaging enterprise stakeholders.
High tolerance for ambiguity with a demonstrated ability to take complete ownership from zero to one.
Proven capability in rapid prototyping, experimentation, and iteration based on real-world feedback.
Proficiency in modern tech stacks including React, TypeScript, and Next.js.
Strong background in systems architecture, distributed systems, Amazon Web Services, Kubernetes, and large language model providers.
Familiarity with modern engineering tooling such as GitLab, Datadog, OpenTofu, and multi-large language model orchestration tools.

Skills and Tools

React
TypeScript
Next.js
Amazon Web Services
Kubernetes
GitLab
Datadog
OpenTofu
Large Language Model orchestration tools

Salary and Benefits

The salary range is CA$150K to CA$200K with an offer for a bonus. Additional benefits include participation in the Employee Share Purchase Plan at a 15% discount, health benefits, paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, birthday off, and family leave coverage.

About the Company

Docebo provides an AI-powered learning platform that helps organizations create, deliver, and manage training. Serving over 3,000 customers worldwide, the company has achieved two public offerings on the TSX and NASDAQ under the ticker DCBO. Docebo operates globally with offices across North America, EMEA, APAC, and beyond, guided by core values that emphasize trust, ownership, and customer collaboration.

How to Apply

Applicants should apply directly on the official Docebo careers page.

Skills and tech stack

Questions candidates ask

What is the salary and compensation for this role?

The salary ranges from CA$150K to CA$200K with an included bonus offer and access to an Employee Share Purchase Plan at a 15% discount.

Where is the position located?

The position is remote in Canada, though Docebo follows a hybrid philosophy requiring some office presence depending on team structure, with office days from Tuesday to Thursday.

How many years of experience are required?

Candidates must have 5+ years of hands-on experience building, shipping, and maintaining production-grade full-stack software products.

What technical stack is used in this role?

The tech stack includes React, TypeScript, Next.js, Amazon Web Services, Kubernetes, GitLab, Datadog, OpenTofu, and multi-LLM orchestration tools.

What does the interview process look like?

The process consists of a 30-minute video call with a Talent team member, a 60-minute video call with the hiring manager, a hands-on technical deep dive and architecture discussion, and a final culture fit conversation.

Ready to apply?

The application is on the official docebo careers page.

Apply on company site