Senior Product Manager

About the Role

This Senior Product Manager position, based in Canada, offers a chance to drive advancement and growth of innovative fintech products designed to enhance customer engagement and deliver measurable business benefits. The role centers on optimizing user-facing experiences, boosting conversion rates, and building scalable, value-driven solutions.

You will collaborate closely with teams across engineering, product, operations, and leadership to set strategy, prioritize initiatives, and execute impactful solutions. Success in this position requires leveraging solid technical expertise, data-centered decision-making, and an in-depth understanding of product growth and customer journeys.

This is a remote-first opportunity emphasizing experimentation, AI-enhanced workflows, and ongoing improvement, with considerable responsibility for shaping product vision, refining user experiences, and accelerating fintech ecosystem growth.

Key Responsibilities

• Drive ownership and enhancement of front-end product experiences targeting higher conversion rates, engagement, and customer satisfaction.
• Lead refinements of onboarding processes, application flows, and customer touchpoints to ensure seamless user interactions.
• Utilize customer behavior data, feedback, and analytics to uncover opportunities and guide product decisions.
• Develop and align product strategy, roadmap priorities, and execution plans with leadership and cross-functional teams.
• Collaborate with product managers and engineers to launch and continually improve customer-facing solutions.
• Focus on initiatives that improve customer acquisition, retention, organic growth, and ROI.
• Craft B2B2C product journey strategies balancing business partner goals with consumer needs.
• Prioritize product enhancements, resolve blockers, and assist engineering teams with clear requirements and decisions.
• Incorporate AI tools into daily processes to enhance research, analysis, productivity, and accelerate product delivery.
• Employ SQL and data analysis to evaluate product performance, identify trends, and support data-driven decisions.

Candidate Requirements

• Minimum of 6 years experience in technical product management, demonstrating successful product launches.
• Strong technical skills including proficiency in SQL and autonomous data analysis.
• Experience managing consumer-facing apps with emphasis on optimizing conversion rates.
• Track record of improving vital metrics such as user growth, activation, engagement, and retention through targeted strategies.
• Experience with D2C or B2B2C product management, managing complexities of business and end-user needs.
• Deep knowledge of product growth metrics like CAC, conversion, ROI, and customer acquisition tactics.
• Ability to identify and resolve conversion barriers using analytics.
• Proven ability to collaborate effectively with engineering, operations, leadership, and cross-functional partners.
• Strong problem-solving aptitude, thriving in ambiguous and dynamic environments.
• Comfort using AI-driven tools and modern technologies to expedite product assessment and development.
• Preference for candidates with startup or high-growth environment experience.

Benefits and Compensation

• Competitive contract pay of approximately $80 to $100 per hour during evaluation phase.
• Potential conversion to full-time employment upon successful evaluation.
• Work remotely with flexibility across Canada and the U.S.
• Full medical, dental, and vision insurance for full-time employees.
• 401(k) match at 100% up to 4% with immediate vesting.
• Unlimited paid vacation, sick leave, and company holidays.
• Generous parental leave policies.
• $1,000 subsidy for remote workspace setup.
• Monthly reimbursement for internet and phone expenses.
• Flexible work-life balance including summer Fridays.
• Opportunity to engage with cutting-edge fintech products and AI-enhanced workflows.

Additional Information

The recruitment process is managed by the partner company who reviews applications and decides on interviews and assessments. AI tools support objective and fair candidate evaluation, but human judgment governs final selections. Candidates' data is processed adhering to relevant privacy laws with transparency and rights to control personal data.