AI Product Manager, Agency Background

GuruLink; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

GuruLink is seeking an experienced Product Manager to own end-to-end client engagements, guiding discovery through delivery for complex AI-enabled solutions in Toronto. You will sit with engineers, shape architecture, and drive governance with executives, managing multiple engagements with tight year-end deadlines.

The role demands a deep background in product leadership, firing on scope and outcomes, and the ability to land agentic concepts with senior stakeholders in a fast-paced consultancy

Qualifications

• Five or more years in product management owning scope, roadmap and outcome.
• Agency or consulting background managing multiple clients concurrently.
• Experience across greenfield builds, legacy platform rebuilds, or client enablement programs.
• Hands-on scoping or shipping of agentic products, not chatbot wrappers.
• Technical fluency to discuss architecture, evaluations and guardrails.
• Ability to present agentic concepts to executives.
• Strong client presence and negotiation skills.
• Fast scoping and ruthless prioritisation.
• Comfortable starting without a complete spec.
• Toronto onsite and willing to work in office.
• Must clear a background check.

Responsibilities

• Own a client engagement end to end as the product voice from discovery through delivery.
• Lead the steering committees and manage the roadmap when priorities collide.
• Define guardrails and evaluation criteria for agent production readiness.
• Collaborate with agentic engineers and translate concepts for executives.
• Manage multiple engagements with year-end deadlines.

Skills

Product management

Agency consulting

Greenfield/legacy projects

Agentic product scoping

Technical fluency

Executive storytelling

Client management

Prioritisation

Ambiguity tolerance

Background check

Tools

LLM eval/observability

Job description

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.