AI Enablement Specialist

Lightspeed
Montreal, Quebec, CanadaPosted 2 March 2026

Job Description

<p><strong>Hi there! Thanks for stopping by</strong> 👋</p> <p>Are you actively looking for a new opportunity? Or just exploring what’s out there in the world of AI and automation? Well… you might just be in the right place!</p> <p>Lightspeed is seeking an <strong>AI Enablement Specialist, </strong>who will serve as the hands-on champion for our Enterprise Search No-Code Agentic AI Platform. Reporting to the Head of IT, this hybrid role bridges technical implementation and business adoption, driving the cultural shift toward an Agent-Powered Workforce. You’ll deliver expert training, provide advanced technical enablement, and help teams identify and validate high-impact AI use cases through our AI Labs methodology.</p> <p><strong>What you’ll be responsible for:</strong></p> <ul> <li>Supporting and enabling the successful adoption of Project Sidekick across the organization</li> <li>Providing Level 2/3 technical enablement for complex issues related to agent development, workflow logic, and tool integrations</li> <li>Assisting the business with platform configuration and connector integrations (e.g., Google Workspace, Slack, ServiceNow), ensuring permissions fidelity and accurate data ingestion</li> <li>Building, testing, and iterating on proof-of-concept (POC) No-Code Agents to demonstrate feasibility and business value</li> <li>Maintaining expert-level knowledge of the Agent Builder environment and interconnected productivity tools (e.g., Atlassian, Miro, Monday.com)</li> <li>Designing, developing, and delivering high-impact training curriculum focused on advanced Enterprise Search and agent utilization</li> <li>Training and managing a decentralized network of internal “AI Champions” to scale adoption across departments</li> <li>Partnering with PC and Communications to execute internal marketing strategies that drive awareness and showcase successful use cases</li> <li>Facilitating AI Labs workshops, guiding teams through workflow mapping and pain point identification</li> <li>Validating and qualifying AI use cases by translating business needs into measurable, technically feasible Agent requirements</li> <li>Owning and prioritizing the Agentic AI backlog, aligning initiatives with high-value, repeatable tasks identified through AI Labs</li> <li>Contributing as part of the wider IT team to achieve organizational objectives, even when it extends beyond the immediate scope of the role</li> </ul> <p> </p> <p><strong>What you’ll be bringing to the team:</strong></p> <ul> <li>Proven experience developing and training others on low-code/no-code automation platforms such as Glean, Relevance.ai, Zapier, Workato, or similar enterprise automation tools</li> <li>Deep familiarity with productivity and collaboration tools such as Slack, Google Workspace, Workday, Monday.com, Atlassian, and ServiceNow</li> <li>Exceptional public speaking, presentation, and curriculum development skills, with the ability to lead technical workshops for non-technical audiences</li> <li>Strong conceptual understanding of API integrations, data indexing, and cloud environments (e.g., GCP)</li> <li>Demonstrated ability to analyze and map business processes to define measurable automation opportunities</li> <li>Strong problem-solving acumen with an ownership mindset</li> <li>Clear and approachable communication style, able to translate technical concepts into practical business value</li> <li>Ability to work and contribute as part of a globally distributed team</li> <li>As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position.</li> </ul> <p> </p> <p><strong>Nice to have:</strong></p> <ul> <li>Experience supporting enterprise search platforms or internal AI copilots</li> <li>Background in business process optimization or digital transformation initiatives</li> <li>Experience building internal communities of practice or champion networks</li> </ul> <p> </p> <p><strong>What’s in it for ... (truncated, view full listing at source)