Staff Product Manager, Capital

Posted 9 days agoViewed

💎 Seniority level: Staff, 8–10 years

📍 Location: Canada, EST/EDT

🔍 Industry: Fintech

🗣️ Languages: English

⏳ Experience: 8–10 years

🪄 Skills: AgileData AnalysisProduct ManagementSCRUMCross-functional Team LeadershipData scienceStakeholder managementFinancial analysis

A proven track record in product management for complex, data-heavy platforms at scale, with 8–10 years of experience, ideally in B2B SaaS, Fintech, or data transformation.
Expertise in leading cross-functional teams, defining product vision, and executing roadmaps in fast-paced, agile environments.
Excellent communication and leadership skills, able to articulate complex concepts to senior leadership, technical teams, and non-technical stakeholders.
A collaborative mindset, forging strong relationships, influencing without authority, and aligning teams toward shared goals.
Deep knowledge of Agile/Scrum methodologies and delivering high-quality software on time.
A data-driven approach to decision-making, with experience setting, measuring, and improving product success metrics.
Experience working across multiple squads and time zones.
Strong strategic thinking, aligning product vision with company objectives.
Ability to mentor and coach other product managers to develop their skills and careers.
Effective stakeholder management, working with senior leadership, engineering, and cross-functional teams.

Define and execute the product strategy for a key area of Capital’s three-year vision.
Work closely with engineering, data science, risk, and growth to evolve capital eligibility decisions.
Develop and maintain a product roadmap that aligns with business goals and strategy.
Create detailed Product Requirements Documents for major initiatives to ensure clear scoping, requirements and implementation milestones.
Represent Product within the squad and work with engineering counterparts to organize and prioritize the work, and ensure efficient delivery.
Collaborate with Data Science, Risk, Operations, and Engineering to understand the implications of product decisions and trade-offs in terms of complexity, depth, and timelines.
Define, track, and analyze the impacts of product changes, ensuring that key business metrics are achieved.