Engagement Manager, RPA

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 environment 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 delivered Calm in complexity — you manage multiple engagements, competing priorities, and difficult conversations without losing composure or thread Fluent across the room — as credible with an executive sponsor as you are with a developer debugging an agent workflow AI-forward — you understand enough about how intelligent automation works to lead it, defend it, and sell its value without needing a translator Ownership mindset — the engagement is yours; you don’t wait for problems to surface, you find them first The Role This 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 Glance Reports To Director Project Delivery & Strategy Works Closely With Automation Business Consultant, Automation Engineers, Client Stakeholders, Vendor Partners Client Interaction Executive sponsors, business leads, project steering, vendor partners Portfolio 3–4 concurrent engagements (3–6 month delivery cycles) Platform Focus UiPath, Microsoft Power Platform, Anthropic Claude / AI Agents Seniority Mid-to-Senior (5–8 years relevant experience) Location Onshore Canada - GTA preferred Engagement Type Hybrid Office - client-facing with occasional travel   What You’ll Do Client Relationship & ...