Product Manager (Platform & AI Agents)
About League League is one of the fastest-growing technology companies in Canada and the leading healthcare experience platform. Getting healthcare is often the easy part — finishing it is where things fall apart: people book the appointment and skip the follow-up, fill the prescription and stop taking it, get the referral and never make the call. That gap costs health plans and health systems money, and it costs people their health. League closes that gap — identifying what each person needs to do next, clearing what’s in their way, and getting it done, for the 70 million+ people whose care already runs through our platform. Health plans and health systems trust us to do this at scale. Organizations like Manulife, SCAN, Geisinger, and Medibank on the payer side, and Baptist and Shoppers Drug Mart on the provider side. Position Summary:League's platform enables our customers to offer highly engaging, personalized healthcare experiences to their members. As a Product Manager II, you will own defined problem spaces within our Member & Patient Portals and AI Agent Teams — spanning benefits navigation, care finding, messaging, scheduling, care gaps, and condition management. You'll operate the full PM role across 1–2 engineering pods with growing independence, working closely with a Solution Owner and Staff PMs to turn ambiguous problems into clear, outcome-oriented bets. This role is calibrated for someone early in their PM career (around 2 years of relevant experience) who is ready to own a scope independently while still building toward Senior PM In this role, you will: Own problem framing and success metrics for defined bets within platform surfaces (e.g., benefits & claims, care finding, messaging, scheduling, Care Navigation Agent, Benefits Navigation Agent, Health Coach Agent, Care Gaps Agent) Operate independently across 1–2 pods, growing toward full ownership of 2 pods over time Bring domain signal and customer insight to your Solution Owner without being prompted; join upstream conversations on bet shaping Define clear, scoped problem statements and outcome-oriented success metrics the pod can act on without needing to ask Communicate bet intent clearly to your pod; spot and raise blockers, building the instinct to unblock without over-owning delivery Surface when a bet's goal or box is at risk; escalate to Product Desk appropriately and distinguish delivery noise from bet-level signal Build foundational knowledge of League's platform, digital provider and payer market, and the League AI product line; answer domain questions from your pod with growing confidence Define KPIs, validate problem framing with data, and track bet performance against goals Use AI tools (prompt engineering, research/synthesis, discovery prep) to accelerate bet framing, market research, and metric definition — use AI ethically and in line with League's data privacy policies Contribute to interviews and onboarding for APM/PM-level hires as need...