Product Manager

HEALWELL AI•Toronto, ON

47d

About The Position

We’re hiring a hands-on Product Manager who sits at the intersection of customer discovery, technical execution, and commercial strategy. This is a builder/operator (“product ninja”) role — not a pure strategy role. You’ll get your hands dirty: writing epics, shaping requirements, driving PRDs, partnering with engineering to translate into stories, and staying close to delivery realities. You’ll be the glue across Sales, Clinical Ops, Engineering/R&D, Finance, and Marketing, and you’ll help bring structure to ambiguity — especially when new opportunities land mid-flight. You’ll also operate across multiple stakeholders, including other entities within the business and our parent company, to keep product direction aligned and execution predictable. Reporting: Reports to an executive leader (BU leadership). Dotted line: Chief Operating Officer. Seat: Leadership table within the AI & Data Science business unit. Why this role exists We’re scaling an AI & data science portfolio across Life Sciences, Public Health, and Primary Care. We need a product leader who can: Turn customer needs into crisp, testable requirements Balance delivery constraints with commercial urgency Drive productization (repeatable offerings) without losing near-term deal velocity Own the commercial thesis: positioning, packaging, pricing, and competitive differentiation Improve how we intake and evaluate “big opportunity” requests, so we don’t thrash

Requirements

7+ years product management (or equivalent end-to-end product ownership).
Strong technical fluency: able to engage credibly with engineering/R&D and reason about data pipelines, integrations, constraints, and tradeoffs.
Demonstrated ability to write PRDs/epics and drive execution through engineering delivery.
Strong commercial acumen: packaging/pricing instincts and customer-facing confidence.
Excellent written communication: crisp PRDs, decision memos, and field-ready enablement content.

Nice To Haves

Healthcare domain experience, ideally with EMRs/EHRs, clinical workflows, and healthcare data interoperability.
Experience launching or operating AI/ML products in highly regulated / privacy-sensitive environments (health data, security constraints, compliance-driven change control).
Comfort with privacy/security norms and regulated operating expectations (e.g., PHIPA/HIPAA-like environments).