TribalScale

AI Product Manager - Agency Exp

Toronto, Ontario, Canada

Sponsorship not specifiedDetected 13 hours ago

ReactReact NativeiOSAndroidNode.jsLLMsAgentic AIProduct ManagementAgilePRDsCollaboration

About the role

You'll sit between clients and agentic engineering teams, turning ambiguous business problems into scoped, sequenced, shippable work - whatever form that work takes.
This isn't a role for someone who's only managed roadmaps in a single-product SaaS company, and it isn't a narrow "AI agent PM" role either.
Some will be rebuilding a client's legacy platform without breaking what already works.

Own client engagements end-to-end - from discovery and scoping through delivery, acting as the primary product voice with the client, not hidden behind an account manager.
Scope and run greenfield product builds - take a zero-to-one idea and turn it into a sequenced, shippable roadmap built the agentic way from day one.
Lead platform rebuild and modernization engagements - help clients replatform or rebuild legacy systems without stalling their existing business, balancing technical debt against delivery speed.
Design and help deliver AI-native enablement - work with clients' own product and engineering teams to build their internal muscle for agentic development, not just hand off a finished product.
Translate ambiguous client asks into scoped work - write PRDs, define success criteria, and sequence delivery so engineers know exactly what to build and why.
Partner directly with agentic engineers - understand the difference between a deterministic workflow and a true agentic use case, and help the team pick the right one for each engagement.
Manage multiple concurrent engagements - prioritize ruthlessly across clients with competing timelines, budgets, and engagement types.
Bring craft to how TribalScale delivers AI-first work - contribute back to internal playbooks on scoping agentic builds, platform rebuilds, and client enablement.

5+ years in product management, with real ownership of scope, roadmap, and delivery outcomes.
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, and you get satisfaction from leveling up someone else's team.
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.

Experience with LLM evaluation frameworks or agent observability tooling.
Background in a technical role (engineering, data, or QA) before moving into product.
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.
Why Choose TribalScale
At TribalScale, collaboration is at the heart of our innovative approach.
We don't simply work for clients
We empower each team member to be a catalyst for change, adhering to our principles of meritocracy, empowerment, and transparency.

This listing is sourced directly from TribalScale's careers page and normalized into a canonical job model.