AI Product Manager

TribalScale; Toronto; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Health Insurance

Professional Development

Conferences & Events

Flexible Work Schedule

Parental Leave

Mental Health Perk

Long Weekend Perk

Birthday time off

Job summary

TribalScale is seeking a Digital Product Manager to own client engagements end-to-end, from scoping to shipped AI-enabled products. You will align with agentic engineering teams, translating ambiguous business challenges into sequenced, deliverable work across greenfield builds and platform modernization.

You will drive client relationships in an agency/consulting context, manage expectations, and lead multiple engagements while focusing on outcomes and ROI for each engagement type.

Qualifications

• 5+ years in product management with ownership of scope, roadmap, and delivery outcomes.
• Comfortable in ambiguity and able to start moving without a perfect spec.
• Hands-on experience with AI agents and agentic workflows, not just prompts.

Responsibilities

• Own client engagements end-to-end from discovery to delivery.
• Scope and run greenfield product builds using agentic approaches.
• Lead platform rebuilds and modernization without stalling business.
• Design and enable AI-native capabilities with client teams.
• Translate ambiguous asks into scoped work with PRDs and success criteria.
• Collaborate with agentic engineers on architecture, evals and guardrails.
• Manage multiple concurrent engagements across timelines and budgets.
• Speak to outcomes and ROI for each engagement type.

Skills

Client management

Ambiguity handling

AI agents experience

Roadmap ownership

Stakeholder management

Consulting experience

Job description

We’re looking for a Digital Product Manager who can own a client engagement end-to-end — from scoping to shipped product — across three kinds of work: building new AI agents, standing up greenfield products the agentic way, and helping established companies rebuild aging platforms and level up their teams to work AI-natively. 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 engagements will be zero-to-one greenfield builds. Some will be rebuilding a client’s legacy platform without breaking what already works
• Some will involve teaching a client’s own team how to build and ship AI-natively so they don’t need us in the room forever. You’ve worked in an agency or consulting environment, you know how to run multiple client relationships at once, and you know how to say “no” to a client gracefully when the ask doesn’t hold up
• 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
• Set guardrails and evaluation criteria for AI agents before they touch a client’s real data or production environment
• Manage multiple concurrent engagements — prioritize ruthlessly across clients with competing timelines, budgets, and engagement types
• Run the room — client steering committees, sprint reviews, and the hard conversations when scope, timeline, or feasibility shifts
• Report on outcomes, not just output — define what success and ROI look like for each engagement type, and hold the team accountable to it
• Bring craft to how TribalScale delivers AI-first work — contribute back to internal playbooks on scoping agentic builds, platform rebuilds, and client enablement

Benefits

• Health Insurance: Health, dental, vision, life insurance
• Professional Development: Weekly Lunch & Learns, subsidies on courses and workshops to help you upskill
• Conferences & Events: Constant opportunity to attend conferences and events, tickets on us
• Socials: Friday socials, group hangouts, themed parties, quarterly events!
• Flexible Work Schedule: Ability to fit work into your personal schedule
• Parental Leave: Paid parental leave for moms and dads
• Fitness Perk: Subsidized corporate membership of Class Pass offering an array of classes; Goodlife corporate gym membership which offers 30% discount as well as sign-up fees waived
• Mental Health Perk: Subsidized online therapy sessions and resources with Inkblot
• Long Weekend Perk: The option for extra long weekends to spend with your family & friends
• Take your birthday off: Go ahead, celebrate!
• Inward Strong Partnership: TribalScale has sponsored an Inward Strong platform membership for all our Tribe members
• Vet Perks: 4 Virtual Vet Appointments annually for your Furry Friends

5+ years in product management, with real ownership of scope, roadmap, and delivery outcomesComfortable in ambiguity — you don’t wait for a fully-formed spec to start movingHands-on experience with AI agents — you’ve scoped, built, or shipped agentic products or workflows (not just prompted a chatbot). You understand the tradeoffs between agentic and deterministic approachesStrong client-facing presence — you can present to a VP-level stakeholder, handle pushback, and say no when it’s warrantedAgency or consulting experience — you’ve worked across multiple clients or accounts, not just one internal product team. You know how to manage client expectations and protect scopeSharp scoping and prioritization instincts — you can turn a vague brief into a one-page plan quickly and defend the tradeoffsRange 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 engagementTeaching 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 teamComfort working alongside agentic engineers — you can hold a technical conversation about architecture, evals, and guardrails without needing everything translated for youBackground in a technical role (engineering, data, or QA) before moving into productExperience with LLM evaluation frameworks or agent observability toolingExperience managing engagements in regulated industries (finance, healthcare)Experience designing or delivering technical training, workshops, or enablement programs for client teamsTrack record of writing or speaking publicly about product or AI topics