AI​/ML Product Manager

Staff AI/ML Product Manager Base pay range

CA$/yr - CA$/yr

At Quandri, our mission is to unlock the world’s insurance data so brokerages and agencies can deliver the best possible service to their clients. Our Renewal Intelligence Platform is designed to help agencies save time, increase profitability, and drive better outcomes for their staff, clients, and business.

Running a profitable personal lines book of business is harder than ever for insurance brokerages and agencies. Rising costs, market shifts, and staffing challenges make it tough to scale while delivering exceptional client service. Trusted by 100+ insurance agencies across North America, Quandri is transforming the policy renewal process with AI-driven automation, delivering data-driven insights, and enabling proactive workflows. Because of the high volume, high velocity nature of personal lines, today’s renewal process is often reactive — with brokers and agents focusing on clients who request help rather than adopting a proactive, data‑driven approach.

Quandri changes that. Our platform automates routine tasks, highlights at‑risk accounts, and arms advisors with timely, data‑driven recommendations. The result? Higher retention, more upsell and cross‑sell opportunities, reduced E&O risk, and a better experience for both staff and clients.

At Quandri, you’ll make a real impact alongside a team that’s as innovative and diverse as the industry we serve. Our culture is built around curiosity, collaboration, and continuous improvement. We’re a hybrid company with ¾ of our team in Vancouver and the rest distributed. Our Vancouver office is in Olympic Village, where we collaborate in person three days a week.

We believe in flexibility, and we also know that great ideas come from working together. We’re backed by leading US and Canadian investors and are scaling quickly. We saw 3x ARR growth last year and plan to continue growing both revenue and our team. Named one of Linked In’s Top Canadian Startups in 2024 & 2025, we’ve already made a meaningful impact on the insurance industry.

We’ve also been named to Deloitte’s Fast 50, highlighted on CB Insights’ Insurtech 50 and Fintech 100 lists, and featured amongst the Globe and Mail’s Top Growing Companies in Canada.

The Staff AI/ML Product Manager is a high‑impact execution role at Quandri, responsible for owning the product lifecycle for machine learning features that power our Intelligence platform. You will manage AI capabilities serving Renewals, Requoting, and Connect executing the current roadmap. This IC role combines deep technical execution with meaningful strategic input and direct impact on our ability to deliver trusted AI‑enabled automation.

Reporting to the VP of Product, you will serve as the primary interface between the Intelligence engineering team and cross‑functional stakeholders, own complex requirements gathering and iterative product development, and drive execution excellence across 3‑4 parallel initiatives. Your technical depth and execution rigor will directly determine our ability to ship ML products that customers adopt and trust.

• Product Execution and Roadmap Contribution:
  Execute Intelligence platform roadmap and contribute meaningfully to 2026 planning based on customer insights and technical learnings. Own requirements gathering with deep problem understanding, uncovering root needs beyond surface‑level requests. Design product experiences that build user trust in AI through transparency, explainability, and graceful failure handling.
• Cross‑Functional Stakeholder Coordination:
  Serve as the primary interface between the Intelligence engineering team and Product, Implementation, Sales, Marketing, and Leadership teams. Filter and prioritize incoming requests from 3 product teams to protect engineering focus while addressing critical needs. Facilitate feedback loops to collect ground truth data, stakeholder validation, and user insights.
• Intelligence Product Development:
  Partner with the Director of Engineering on project planning and delivery tracking across 3‑4 parallel initiatives. Drive iterative…