Product Manager - AI Enablement

BIMM is booming, so we’re looking for a Product Manager – AI Enablement to join our team.  

As we observe a hybrid model, this role will require you to be in office at BIMM HQ (Distillery District) 2 days per week, which could also expand to include visits to client sites.  

Who we are 

BIMM is a Toronto-based agency that lives at the intersection of data, technology, and creativity to provide clients with high-performing campaigns and digital products that shape connected customer experiences. We’ve helped our clients implement fully integrated CRM customer journeys, built robust digital experiences, and created national loyalty programs with decades of experience in sectors of automotive, financial, telco and retail. 

We are creative realists, which means our ideas and solutions are grounded in the realities of our clients’ business. We believe big ideas are nothing without big results (and flawless execution); high-performing agencies deliver high-performing campaigns, products, and experiences; and the best solutions happen when we collaborate with clients as partners.

This is an existing vacancy, not a made-up role — this one’s already got a desk waiting. 

Who we’re looking for 

You are passionate about building products, workflows, and systems that make teams smarter, faster, and more effective. You’re deeply curious about how AI and emerging technologies are changing the way digital products are designed, built, tested, and delivered — and you want to help shape that future. 

This is not a traditional Product Manager role focused solely on shipping customer-facing features. This role sits at the intersection of product management, developer enablement, operational transformation, and change management. 

You thrive in ambiguity and are energized by building new ways of working from the ground up. You’re comfortable navigating evolving priorities, experimenting quickly, learning from failure, and helping teams adopt new tools, processes, and behaviors. You understand that introducing AI-enabled workflows is as much about people and organizational adoption as it is about technology. 

You are comfortable working closely with developers, architects, QA, delivery leads, and client stakeholders to identify inefficiencies, uncover opportunities, and operationalize scalable AI-driven solutions that improve how digital products are delivered. 

You challenge teams to think beyond current processes and push the boundaries of what modern product development can look like. You leverage AI and modern tooling to synthesize information faster, improve decision-making, accelerate delivery, and increase overall team effectiveness — while still applying strong product judgment and critical thinking. 

Most importantly, you know how to bring people along through change. You communicate clearly, create alignment across teams, and help others feel confident adopting new workflows and technologies. 

Responsibilities  

• Partner with development teams, architects, and delivery leadership to identify opportunities where AI agents, automation, and internal tooling can improve software delivery workflows and operational efficiency. 
• Help define and evolve internal AI-enabled products, developer tooling, and agent-based workflows that support engineering teams and client delivery teams. 
• Drive backlog prioritization and roadmap planning for internal AI tooling initiatives, balancing experimentation, technical feasibility, business impact, and organizational readiness. 
• Work closely with developers and technical leads to translate ambiguous ideas into clearly defined user stories, workflows, requirements, and implementation plans. 
• Act as a bridge between technical teams, business stakeholders, and leadership to ensure alignment on objectives, priorities, and expected outcomes. 
• Support organizational change management efforts by helping teams adopt new tools, workflows, and ways of working related to AI-enabled delivery practices. 
• Facilitate workshops, discovery sessions, and operational working sessions with cross-functional stakeholders to align on opportunities, gaps, process improvements, and implementation strategies. 
• Help establish scalable operational processes, documentation standards, governance approaches, and feedback loops for AI-enabled development workflows. 
• Bring