Senior Product Manager

Role Overview

Join a remote-first environment as a Senior Product Manager in the fintech space. You’ll help shape and scale consumer-facing financial technology products by improving conversion, engagement, and measurable business outcomes.

Responsibilities

• Own the strategy, optimization, and execution of key product initiatives focused on consumer experiences and scalable growth.
• Optimize front-end product experiences to improve:
  • Conversion rates
  • Engagement
  • User satisfaction
• Lead improvements across onboarding, application journeys, and other customer touchpoints to deliver seamless experiences.
• Analyze customer behavior, feedback, and product data to find opportunities and make data-driven decisions.
• Define product strategy, roadmap priorities, and execution plans with leadership, engineering, and operations.
• Partner with product and engineering teams to build, launch, and continuously improve customer-facing solutions.
• Drive growth initiatives across acquisition, retention, organic growth, and ROI.
• Develop B2B2C product journey strategies that balance partner business needs with consumer expectations.
• Prioritize enhancements, unblock teams, and provide clear requirements and decision support to engineering.
• Use AI-powered workflows to improve research, analysis, productivity, and delivery speed.
• Use SQL and data analysis to evaluate performance and identify trends.

Requirements

• 6+ years in a technically focused product management role with experience launching products.
• Strong technical/analytical foundation, including SQL and independent analysis of product/user data.
• Experience improving consumer-facing products with a focus on conversion rate optimization.
• Proven impact on product metrics: growth, activation, engagement, and retention.
• Experience with D2C or B2B2C products.
• Strong understanding of growth metrics such as CAC, conversion rates, ROI, and acquisition strategies.
• Ability to identify conversion barriers and improve performance with data.
• Cross-functional collaboration experience with engineering, operations, and leadership.
• Strong problem-solving skills in ambiguous, fast-moving environments.
• Comfortable using AI tools and modern technologies.