AI Product Manager - Agency Exp Required
HybridToronto, Ontario, Canada
Job Summary
Own client engagements end-to-end, from discovery and scoping through delivery, acting as the primary product voice with the client. Scope and run greenfield product builds for zero-to-one ideas, lead platform rebuilds for legacy systems, and design AI-native enablement to build client teams' internal muscle. Translate ambiguous asks into scoped work by writing PRDs and defining success criteria, then partner directly with agentic engineers to select the right deterministic or agentic approach. Set guardrails for AI agents, manage multiple concurrent engagements by prioritizing ruthlessly, and run client steering committees and sprint reviews. Report on outcomes and ROI while contributing to internal playbooks on agentic builds and client enablement.
Required Qualifications
- 5+ years in product management, with real ownership of scope, roadmap, and delivery outcomes
- Agency or consulting experience — you've worked across multiple clients or accounts, not just one internal product team
- Range across engagement types — you've run at least two of: a zero-to-one greenfield build, a legacy platform rebuild/migration, and a client-facing enablement or training engagement
- Hands-on experience with AI agents — you've scoped, built, or shipped agentic products or workflows (not just prompted a chatbot)
- Comfort working alongside agentic engineers — you can hold a technical conversation about architecture, evals, and guardrails without needing everything translated for you
- Teaching instinct — you can explain agentic concepts to a client's non-technical stakeholders and their engineers
- Strong client-facing presence — you can present to a VP-level stakeholder, handle pushback, and say no when it's warranted
- Sharp scoping and prioritization instincts — you can turn a vague brief into a one-page plan quickly and defend the tradeoffs
- Comfortable in ambiguity — you don't wait for a fully-formed spec to start moving
Desired Qualifications
- Experience with LLM evaluation frameworks or agent observability tooling
- Background in a technical role (engineering, data, or QA) before moving into product
- Experience managing engagements in regulated industries (finance, healthcare)
- Experience designing or delivering technical training, workshops, or enablement programs for client teams
- Track record of writing or speaking publicly about product or AI topics
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.