AI-First Product Manager (Agency Experience; LA-based hybrid role)

TribalScale•Toronto, ON

1d•Hybrid

About The Position

TribalScale is a digital innovation firm that helps organizations adapt and thrive in a rapidly changing world. We partner with clients to build transformative digital products, modernize technology platforms, and apply emerging technologies—including artificial intelligence—to meaningful business challenges. Our teams work closely with clients from strategy through execution. We value curiosity, ownership, practical innovation, and people who are comfortable turning ambiguity into action. Our Product Managers play a critical role in shaping outcomes for our clients and ensuring teams build the right things, the right way. As a Product Manager at TribalScale, you will lead product discovery and delivery in close collaboration with clients, designers, and engineers. This is a consultative, client-facing role—you will be embedded in delivery teams, guiding decisions from problem definition through execution. You will be expected to balance strategic thinking, delivery execution, and strong communication, while operating comfortably in ambiguity. Importantly, our PMs are expected to be AI-fluent—both in how they work day-to-day and in how they help teams build AI-enabled products. You bring a strong bias toward delivery and productivity. You actively unblock teams, maintain momentum, and help translate plans into real progress on a weekly basis. You are comfortable making pragmatic decisions to keep work moving, and you take ownership for ensuring teams deliver meaningful outcomes—not just well-documented intentions.

Requirements

4+ years of experience as a Product Manager (or similar role) in: Consulting, agency, or client-facing environments
Cross-functional teams with Engineering and Design
Strong experience leading discovery and delivery simultaneously
Excellent written and verbal communication skills
Comfort operating in ambiguous, fast-changing contexts
Hands-on experience using AI tools in your day-to-day work
Familiarity with modern AI product patterns, including RAG-based systems
Ability to collaborate effectively with engineers on AI-related initiatives
Strong technical curiosity—even if you are not an engineer
Confident facilitating conversations with senior stakeholders
Pragmatic, outcome-focused decision-making
Ability to balance client needs, delivery constraints, and business realities
Comfortable giving and receiving candid feedback

Nice To Haves

Experience delivering AI or data-driven products
Background in enterprise, regulated, or complex domains
Experience mentoring junior PMs or shaping PM practices
Familiarity with Agile / Lean product delivery frameworks

Responsibilities

Partner with clients to understand business problems and translate them into clear product opportunities
Lead discovery workshops, stakeholder interviews, and alignment sessions
Define product goals, success metrics, and outcomes—not just features
Evaluate trade-offs and make informed recommendations in uncertain environments
Own and manage the product backlog, including prioritization, refinement, and roadmap planning
Collaborate closely with Engineering and Design to deliver high-quality solutions
Ensure clarity of requirements, acceptance criteria, and scope
Proactively manage risks, dependencies, and changing priorities
Act as a trusted advisor to client stakeholders (including Director and VP-level)
Communicate clearly and confidently about progress, risks, and trade-offs
Help clients understand the “why” behind product decisions
Represent TribalScale’s product and delivery maturity in every engagement
Actively use AI tools (e.g. LLMs) to improve your own effectiveness, such as: Drafting and refining product documentation, Synthesizing research and stakeholder inputs, Supporting analysis, planning, and decision-making
Continuously explore and adopt AI-enabled workflows for product management and delivery
Collaborate with Engineering and Design to help shape AI-powered product experiences
Help define requirements, constraints, and success criteria for AI features
Translate AI capabilities and limitations into clear, practical guidance for clients