Greenlight helps organizations solve complex business challenges through intelligent automation, agentic AI, and custom technology solutions. Our teams work directly with clients to understand their operations, identify opportunities, and rapidly build solutions that create measurable business value. We combine deep consulting expertise with hands‑on engineering to bridge the gap between strategy and execution.We’re building a future where consultants and engineers work alongside AI to deliver faster outcomes, stronger businesses, and transformative customer experiences. We run AI-assisted delivery as standard - from discovery through documentation to quality assurance - and this role operates in an setting where Anthropic's Claude is embedded in how we work, not treated as a future state.What makes a star at Greenlight?Commercially sharp and client-obsessed - you measure success by what the client achieved, not what was deliveredCalm in complexity - you manage multiple engagements, competing priorities, and difficult conversations without losing composure or threadFluent across the room - as credible with an executive sponsor as you are with a developer debugging an agent workflowAI-forward - you understand enough about how intelligent automation works to lead it, defend it, and sell its value without needing a translatorOwnership mindset - the engagement is yours; you don’t wait for problems to surface, you find them firstThe RoleThis is the accountability seat on every Greenlight engagement. The AI Engagement Manager owns the client relationship, the commercial track, and the delivery cadence - across AI and automation projects running on tight, high-output cycles.Engagements operate with an AI Automation Business Consultant who owns process discovery, AI logic design, and technical specification, alongside an Automation Engineer who owns the build. This role sits above both, as the commercial and relational anchor keeping the engagement on track, the client confident,



and the value visible.This means the role requires AI and automation fluency to have credible conversations about what is being built, how long it should take, and what the business outcome looks like - without needing the consultant or engineer to translate. You do not build the solution. But you need to understand it well enough to own it in the room.At a GlanceReports ToDirector Project Delivery & StrategyWorks Closely WithAutomation Business Consultant, Automation Engineers, Client Stakeholders, Vendor PartnersClient InteractionExecutive sponsors, business leads, project steering, vendor partnersPortfolio3–4 concurrent engagements (3–6 month delivery cycles)Platform FocusUi Path, Microsoft Power Platform, Anthropic Claude / AI AgentsSeniorityMid-to-Senior (5–8 years relevant experience)LocationOnshore Canada - GTA preferredEngagement TypeHybrid Office - client-facing with occasional travelWhat You’ll DoClient Relationship & Commercial GovernanceServe as the primary client contact from kickoff through post-delivery review - the face of the engagement at every stageBuild trusted relationships with executive sponsors, business leads, and key stakeholders - read the room, sense shifts in confidence, and act before they become delivery risksOwn scope management and change control - identify creep early, facilitate commercial conversations around change with clarity, and protect margin without damaging the relationshipLead difficult conversations: expectation resets, delay communications, scope disputes - directly, calmly, and without escalating to leadership by defaultMaintain commercial awareness across your portfolio; flag risks to margin, timeline,



or client satisfaction before they surface in a steering callAI & Automation Delivery OversightUnderstand what is being built on every engagement - the automation logic, the AI agent behaviour, the integration points - well enough to represent it accurately to a client executiveTrack delivery against the Week 0-to-go-live cadence: readiness confirmed before kickoff, discovery completed in Week 1, SDD validated before build, test cases parallel with Sprint 1Identify when the delivery thread is at risk - slow discovery, SDD delays, build blockers, UAT gaps - and drive resolution before it affects the timelineMaintain the RAID log, delivery schedule, and status reporting to client stakeholders - governance that is current, honest, and actionable, not performativeManage competing priorities across 3–4 concurrent engagements without losing thread or dropping client confidencePod Leadership & Team EnablementCreate the conditions for the Automation Business Consultant and Engineer(s) to do their best work: resolved blockers, aligned stakeholders, clear scope, no unnecessary noiseReview Consultant deliverables - PDDs, agent specs, SDD sign-offs - for quality and alignment with client expectations before they go to the clientCoach the consultant through complex stakeholder sessions and difficult discovery conversations - your experience in the room is a resource, not a rankManage resource capacity and flag resourcing risks early - don’t let a build slow down because of a preventable resource constraintValue Realization & ReportingProactively track whether clients are realizing expected automation and AI value - report against agreed KPIs and business outcomes, not just delivery milestonesLead go-live communications, confidence management, and post-delivery debriefs - close every engagement with the client seeing what was delivered and what it was worthIdentify expansion opportunities within active accounts - process gaps, adjacent automation candidates, AI use cases the client hasn’t named yet - and surface them to the

📌 Engagement Manager (Toronto)
🏢 Greenlight Consulting
📍 Toronto