Founding Forward Deployed Engineer

Описание

As a founding member of the Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact by working with strategic customers to transform L&D workflows into autonomous AI agents.

Responsibilities

• Build the Blueprint: define how the FDE team operates, set internal playbooks, and figure out the technical roadmap alongside clients
• Deploy Autonomous Intelligence: partner directly with strategic enterprise customers to map complex L&D workflows, pinpointing high-impact opportunities for agentic AI integration
• Architect Custom AI Agents: design, build, and deploy bespoke AI agents that integrate seamlessly with customer systems and the Docebo Agent Hub
• Drive Platform Evolution: translate hands-on customer insights into foundational platform enhancements, turning bespoke client solutions into scalable features for the broader ecosystem
• Own the Product Lifecycle: take full ownership from discovery and system architecture to production deployment, monitoring, and iterative optimization
• Build the Discipline: shape the founding FDE team culture, operational rituals, and internal playbooks while defining the technical roadmap and cross-functional org design

Requirements

• Full-Stack Craftsmanship: 5+ years of hands-on experience building, shipping, and maintaining production-grade full-stack software products
• Agentic AI Expertise: prior experience building, fine-tuning, or deploying agentic AI systems and LLM-powered applications in production environments
• Product-First Mindset: a strong customer-centric focus with the confidence and communication skills to engage directly with enterprise stakeholders
• Founder Mindset & Ambiguity Tolerance: energized by undefined problems, comfortable making high-stakes decisions with partial information, and obsessed with taking complete ownership from zero to one
• Rapid Prototyping Agility: proven ability to quickly build prototypes, experiment boldly, and iterate based on real-world usage and customer feedback
• Modern Tech Fluency: proficiency in the core tech stack, including frontend (React, TypeScript) and backend development (Next.js, TypeScript)
• Systems Architecture: strong architectural background with solid experience navigating distributed systems, AWS, Kubernetes, and LLM providers
• Ecosystem Familiarity: experience using modern engineering tooling like GitLab, Datadog, OpenTofu, and multi-LLM orchestration tools

We offer

• Employment Type: Full time
• Compensation: CA$150K
• CA$200K, plus bonus
• Hybrid work in Toronto, Ontario: three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other
• Financial Wellness: Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package
• Your Well-Being, Covered: access to health benefits
• Rest, Relax, Repeat: paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off
• Family First: coverage offering time with little one(s)
• Connections That Count: connect with global communities through Employee Resource Groups and company-wide events

Hiring process

• Step 1: 30-minute video call with a member of the Talent team
• Step 2: 60-minute video call with the hiring manager
• Step 3: hands-on technical deep dive and architecture discussion with key stakeholders
• Step 4: final conversation focused on culture fit, team dynamics, and cross-functional alignment