Senior Product Manager, AI

New

CaribouAI healthcare

This is a full-time role open to candidates based in Toronto or MontrealFull-TimeSenior

Salary150,000 - 180,000 CAD per year

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Job Details

Have 5+ years of product management experience, ideally building and scaling B2B SaaS products in a fast-paced environment.
Have hands-on experience building and deploying agentic or AI-powered products into production.
Understand how to move AI products beyond prototypes and deliver reliable user value.
Bring a strong technical foundation and the ability to work deeply with engineers and understand technical tradeoffs.
Be able to use modern AI development tools such as Claude to prototype and explore ideas.
Have experience working in a fast-moving AI product environment.
Have demonstrated success taking products or meaningful features from 0→1 and iterating based on real-world usage and outcomes.
Have experience using product data, customer insights, and experimentation to improve adoption, engagement, or business outcomes.
Be able to balance user needs, technical constraints, speed, and commercial impact.
Be comfortable operating with ambiguity, making decisions with imperfect information, and changing course as you learn.
Be able to align technical and non-technical stakeholders around product decisions.
Be able to travel to the US on a quarterly basis.

Own the coordinator-facing and caregiver-facing voice staffing agent experience, from call opening through the fill, including system prompts, guardrails, and evaluations.
Own the agent portfolio, including EVV support, clock-in reminders, and new agentic surfaces.
Define reliability evaluation methods, failure taxonomies, and criteria for expanding products.
Set product success metrics and improve end-user adoption, engagement, customer ROI, and business outcomes.
Own product roadmaps, priorities, milestones, and release schedules.
Build and iterate on agentic product experiences that improve workflows for caregivers and home care organizations.
Research users through customer conversations, product data, and feedback from customer-facing teams.
Prioritize experiments and features using customer feedback, data, business impact, and strategic goals.
Partner with Engineering, Data, Design, Customer Success, Marketing, and other teams to deliver products.
Support go-to-market strategies for new products and features and help customer-facing teams understand their value and positioning.

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