Location: Toronto, Ontario
This is the hire the client called the most critical one on the list, and it is the role that decides whether the rest of the programme lands.
You will own a client engagement end to end as the product voice: discovery through delivery, with the stakeholder in the room rather than on a status email. The work splits three ways. Some of it is standing up brand new AI agents. Some is greenfield product built agentically from day one. Some is dragging a legacy platform into the present without taking it offline, while teaching the client's own team to build the way you do.
The current priority engagement is a rebuild of an investigative analysis platform used by law enforcement and forensic teams. Think enormous volumes of device data, a user who needs defensible answers rather than plausible ones, and an evidentiary chain that cannot be broken. You will sequence that into something shippable, define what good looks like, and set the guardrails and evaluation criteria an agent must clear before it goes anywhere near production.
You will sit beside agentic engineers and argue architecture with them, not hand over a backlog. You will run the steering committees, hold the roadmap when priorities collide, and translate agentic concepts for executives who are sponsoring the spend without sharing the vocabulary. Expect several engagements moving at once and a year end deadline on the one that matters most.
Toronto based and in the office. The client stakeholder is local and expects you there.
Must Have Skills:
Five or more years in product management owning scope, roadmap and outcome, not just delivery. Agency or consulting background running several clients at once, which is a hard requirement and the first thing to screen. Experience across at least two of: greenfield builds, legacy platform rebuilds, client enablement programmes. Hands-on scoping or shipping of genuine agentic products, not chatbot wrappers. Enough technical fluency to hold your own on architecture, evaluations and guardrails. Ability to make agentic concepts land with an executive audience. Strong client presence and negotiation. Fast at scoping and ruthless at prioritising. Comfortable starting without a complete spec. Toronto onsite. Must clear a background check.
Nice to Have Skills:
LLM evaluation frameworks or agent observability tooling. An earlier technical career in engineering, data or QA. Regulated or high-assurance industry experience such as finance, healthcare, public safety or defence. Delivery of technical training and enablement programmes. Public writing or speaking on product and AI. Existing security clearance, or TribalScale experience within the last three months, either of which removes weeks from onboarding.
