Senior Product Manager

Questrade Financial Group•Toronto, ON

3d•CA$150,000 - CA$180,000•Hybrid

About The Position

Questrade Financial Group (QFG) is seeking a Senior Product Manager to join their team. This role involves owning the discovery and delivery of products and features that help Questrade customers manage their money and investments. The Senior Product Manager will be responsible for taking a customer problem, solving it, and then building, shipping, and improving the solution with engineering, design, and data partners. This is a hands-on role focused on shipping consumer products at scale, paying close attention to customer touchpoints, and successfully delivering in complex environments. The ideal candidate will leverage AI to transform customer experiences and empower teams. The role is within a diverse, inclusive, and hybrid workplace.

Requirements

5+ years of product management experience, with a track record of shipping consumer-facing digital products at scale - ideally in fintech, banking, investing, or another trust-sensitive domain.
Demonstrated ownership of a product area end to end: strategy, discovery, delivery, measurement, and iteration.
Built instincts from real customer conversations, behavioral data, and cohort analysis.
Ability to write clearly, present persuasively, and translate between technical and non-technical audiences, from engineers to executives.
Ability to default to action, form a point of view quickly, and revise it when the evidence says so.
Know how to partner with engineering, design, user research, product marketing to understand technical trade-offs and make smart calls with your team.
Comfortable with ambiguity and change, as the team's scope moves fast.

Nice To Haves

Experience at high-growth startups, especially in fintech or other domains requiring complex systems thinking.
Experience launching net-new products or entering new markets, especially in regulated industries.
Strong opinions about UI/UX - you don’t need to be a designer but should know what a category defining experience looks like.
Experience with the Canadian financial services landscape and its regulatory environment.

Responsibilities

Owning the end-to-end requirement gathering and definition process for highly complex, interrelated product functionality; strategically navigating technical cross-domain dependencies and descopes features when necessary to optimize sequencing and deliver continuous client value.
Going beyond surface-level metrics to develop a deep understanding of the drivers behind product performance, identifying trends, anomalies, and opportunities that others might miss.
Defining and evolving the measurement framework for your product area, ensuring success is measured in a way that reflects true user and business impact.
Using data to make difficult trade-off decisions and confidently challenge assumptions when the evidence demands it.
Maintaining a solid understanding of technical architecture, system dependencies, and platform integrations within the product domain; works in close partnership with engineering to navigate complex architectural trade-offs and address technical bottlenecks.
Setting a predictable release cadence while balancing execution velocity with code quality and long-term architectural stability.
Building deep cross-functional buy-in and organizational trust by distilling complex product updates into clear, strategic insights for leadership, providing proactive mitigation plans for upcoming risks.
Cultivating a high-performing squad environment by setting a clear strategic tone, navigating healthy conflict, and actively mentoring cross-functional team members to elevate delivery quality.
Demonstrating a relentless focus on whatever outcomes the product and squad need to succeed, championing a strong sense of collective accountability and pride in delivery.
Establishing and tracking clear domain metrics, synthesizing customer insights, performance data, and competitor trends into tactical roadmap priorities.
Integrating AI-powered tools and prompts into daily operational workflows to analyze datasets, automate routine administrative tasks, and enhance data-driven decision-making.